Google Camera Settings (GCam) 8.4: libpatcher and developer settings

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Tone Curve

In Google Camera, the Tone Curve is a feature in the curve settings that allows users to adjust the brightness, contrast, and color balance of an image. It provides detailed control over the tonal values by manipulating the graph that represents the input and output levels of the image.

Manual curve settings allow users to freely change the curve by adding control points and dragging them to adjust the tonal values. By controlling the curve, users can selectively lighten or darken certain areas of the image, increasing contrast and achieving the desired tonal balance. This flexibility allows you to fine-tune light and shaded areas, as well as mid-tones.

On the other hand, presets offer predefined curve settings that can be applied to an image with a single touch. These presets are designed to quickly enhance photos and create artistic effects. They can range from simple contrast settings to more complex tonal modifications, such as high contrast, vintage or cinematic look. Presets offer a convenient way to experiment with different styles and save time by instantly giving the image the desired look.

In general, the tone curve in the Google Camera curve settings provides experienced users with a powerful tool for fine-tuning the tonal values of their photos. Whether it’s manual adjustment or using presets, users can gain more control over brightness, contrast, and color balance to create visually appealing and personalized images.

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Gamma curve

The gamma curve refers to a feature that allows users to manually adjust the brightness levels of an image. In fact, it controls the ratio between the input data (initial brightness levels) and the output data (adjusted brightness levels) of the image.

Manual curve settings provide users with a graphical representation of the gamma curve, usually displayed as a curve, which can be adjusted by manipulating the reference points on the graph. By dragging these reference points, users can change the brightness levels at different points in the image, increasing or decreasing the overall brightness or individual areas.

On the other hand, preset gamma curve settings offer predefined curve settings designed to suit specific scenarios or artistic preferences. These presets often include amateur community user settings. Each preset applies a predefined curve correction to the image, instantly changing its visual characteristics without the need for manual adjustment.

Using presets allows users to quickly apply different levels of brightness adjustment, which makes it convenient to shoot images in different lighting conditions or achieve certain artistic effects. However, for advanced users, manual curve adjustments provide more precise control over image brightness, allowing them to create custom settings tailored to their specific needs or creative vision.

In general, the gamma curve in Google Camera settings gives users the flexibility to adjust brightness levels by using presets for quick adjustments or manually adjusting the curve to achieve the desired visual result.

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InitParams Execute

In GCAM 8.4 InitParams Execute is a setting that is responsible for executing initialization parameters when launching the GCAM application. Initialization parameters (InitParams) are a set of settings and parameters that are set when GCAM is started and affect its operation. They may include various parameters such as camera settings, image processing algorithms, functions, and other aspects of the application. The InitParams Execute setting allows the user to enable or disable the execution of initialization parameters when starting GCAM. When this setting is enabled, the application will initialize the settings according to the set InitParams. The InitParams Execute setting allows the user to enable or disable the execution of initialization parameters when starting GCAM. When this setting is enabled, the application will initialize the settings according to the set InitParams.

HDR Model

In GCAM 8.4, HDR Model refers to the model used to create images with an extended dynamic range (HDR – High Dynamic Range). HDR is a shooting technique that allows you to combine multiple photos with different exposures (usually low, normal and high) to create an image with a wider range of brightness and rich detail in both light and dark areas. In GCAM 8.4, HDR Model provides the user with a choice of different models for processing and creating HDR images. These models may vary depending on the algorithms and methods used to merge and process photos with different exposures. Choosing a suitable HDR model allows the user to achieve optimal HDR quality and effect based on his preferences and shooting features. Each model may have its own characteristics in the processing of details, colors and contrast, so it is recommended to experiment with different HDR models to get the desired result. Please note that the availability and names of HDR models may vary depending on the GCAM version and the device used. It is recommended to familiarize yourself with the application settings and its documentation for more detailed information about the various HDR models offered in a particular version of GCAM.

RAW Compress

RAW Compress in GCAM8.4 is a feature in the Google Camera app that allows you to compress images in RAW format (uncompressed image format). The RAW format contains more information about the image than compressed formats such as JPEG, so it provides more flexibility when editing photos. However, RAW files usually take up more space on the storage device, so the RAW Compress function allows the user to reduce the size of RAW files by compressing them without significant loss of quality. This is especially useful for users who want to save more pictures in RAW format with limited storage space on the device.

Sun Fix

SunFix in GCAM8.4 is a feature in Google’s camera that is designed to eliminate the effect of sunlight that may appear in photos when shooting in the direction of direct sunlight. This feature automatically adjusts exposure and contrast to avoid overexposure or oversaturation of colors in the picture caused by strong sunlight. This helps to create more balanced and clear photos, especially when shooting outdoors in bright sunlight.

Skip Metadata check

Skip Metadata check in GCAM8.4 is a feature in Google camera that allows you to ignore the metadata check when shooting. Metadata is information about the parameters of the image, such as focal length, shutter speed, ISO, and others. By default, Google’s camera checks this information and, if it does not meet the expected values, it may issue a warning or even refuse to shoot. However, using the Skip Metadata check function, you can skip this check and continue shooting without warnings or failure, even if some parameters do not match the expected values. This can be useful for experienced users who want to have more control over the snapshot parameters, without being limited by preset restrictions.

Fix RAW16 Merge

Fix RAW 16 Merge in GCAM8.4 is a feature in the Google camera that is used when processing images in RAW 16 format. RAW 16 is an uncompressed format that saves all data received from the image sensor matrix and provides a wider dynamic range and more editing capabilities than JPEG format.

When the Fix RAW 16 Merge function is enabled, it optimizes the processing of RAW 16 images, including white balance, exposure, contrast, colors and other parameters. This allows you to get better and more vivid images when shooting in RAW 16 format.

Fix RAW 16 Merge is useful for photographers and enthusiasts who prefer working with RAW files and want full control over the image processing process. It allows you to get the best result when shooting in RAW 16 format using a Google camera.

Hard JPG Quality

Hard JPG Quality in GCAM8.4 is the setting of JPEG image compression quality when using Google camera. When this feature is enabled, it applies a higher compression level to reduce the JPEG file size and save more space on the device.

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However, increasing the compression level can lead to loss of image quality, especially in the form of compression artifacts, loss of detail and deterioration of colors. Therefore, when using Hard JPG Quality in GCAM8.4, it is recommended to be careful and keep a balance between image quality and file size.

Hard JPG Quality can be useful if you want to save more space on your device or store a lot of photos, but don’t care much about preserving every detail and the quality of the final image.

Shasta Force

Shasta Force in GCAM8.4 is a feature provided in Google’s camera that allows you to improve image quality in low-light conditions. When Shasta Force is turned on, Google’s camera uses special algorithms and techniques to improve the brightness, detail and color of the image when photographing in the dark or in low light.

This feature helps to reduce noise and improve the clarity of images in low light conditions by optimizing exposure balance and image processing.

Shasta Force is specially designed to enhance night shooting, and it can greatly enhance the quality of photos when shooting in dark conditions. However, it may take some time to process the image, since processing algorithms can be quite demanding on the performance of the device.

Shasta Factor

The Shasta Factor in Google Camera 8.4 is a new feature that is designed to improve image quality in low-light conditions. It uses machine learning algorithms to automatically detect when it is important to preserve image details and reduce noise. As a result, photos taken in dark or poorly lit situations should look clearer and more detailed. Shasta Factor allows you to improve the quality of images without the need to use a flash or other sources of additional lighting.

Resampling

Resampling in Google Camera 8.4 is the process of resizing an image. This function is used to change the resolution of a photo or video in the Google Camera app. Resampling allows you to change the size of a photo without losing the quality of visual details. The resampling algorithms in Google Camera 8.4 have been improved to more accurately resize images, which can be useful when cropping photos or changing their aspect ratio.

ISO Max ZSL Analog

ISOMax ZSL Analog in Google Camera 8.4 is a feature that allows you to set the maximum ISO value in Zero Shutter Lag (ZSL) analog mode.
ISO (International Organization for Standardization) is a parameter that determines the sensitivity of the camera to light. The higher the ISO value, the more photosensitive the camera is, but there is more noise in the photo.

Zero Shutter Lag (ZSL) is a technology that allows the camera to take a photo without time delay. It is activated under certain lighting conditions and avoids image blurring, especially when shooting moving objects.

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The ISOMax ZSL Analog function in Google Camera 8.4 allows the user to set the maximum ISO value when using the analog ZSL mode. This allows you to improve the image quality in low light and reduce noise in photos.

Discard Frames With TET Mismatch

Discard Frame With TAG Mismatch (discard frames with a TET mismatch) is a function that was introduced in Google Camera 8.4. TEST (Time Error Tolerance) determines the maximum allowed deviation between frame timestamps during video recording. If a frame has a timestamp that is very different from previous frames, this function discards such frames to avoid time mismatches in video playback. This can help prevent blurring or inconsistency of time in the video recording.

Max Relative TET Factor

Max Relative TET Factor (maximum relative exposure time factor) is a parameter in Google Camera 8.4 that is responsible for determining the maximum exposure time when photographing in Night Sight mode.

Shutter speed is the time during which the camera lens is left open to collect light. In Night Sight mode, it is especially important to use longer exposures to compensate for insufficient lighting and get brighter and more detailed photos in the dark.

The Max Relative TET Factor affects how long the shutter speed is open when shooting in Night Sight mode. The higher the value of this factor, the longer the shutter speed can be, which allows the camera to collect more light and create a brighter, more illuminated photo.

However, setting the Max Relative TET Factor too high can lead to blurring or covering with pixels in the image, since prolonged exposure can lead to significant movement of the camera or the object being photographed. Therefore, it is important to find a balance between brightness and image detail when choosing the Max Relative TET Factor value.

Sabre Noise

SabreNoise is a new feature in Google Camera 8.4 that is used to reduce noise in photos. Noise in photographs usually manifests itself as fine grainy textures, especially noticeable in low light conditions or when using high ISO sensitivity.

SabreNoise works by analyzing and processing images using machine learning. It detects noise pixels and applies special algorithms to blur and smooth them, which leads to a cleaner and clearer visual result. This allows you to get better and more detailed photos, especially in situations where there is little light or the photo was taken at a low shutter speed.

Disable Preserving Highlights

Disable Preserving Highlights in Google Camera 8.4 is a feature that allows you to disable the preservation of bright light accents in a photo. Usually photos retain bright white areas to avoid losing details in light areas. However, in some cases, maintaining high lights can lead to overexposed and overexposed areas in the photo.

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Disable Preserving Highlights allows you to disable this feature of preserving bright colors, which can be useful if you prefer to preserve more details in dark areas of a photo or create a spectacularly overexposed image. It can also be useful when shooting in difficult lighting conditions, when bright and dark areas are adjacent on stage. Without maintaining high lights, such images may look more balanced and natural.

Turn ON Highlight LDR

Turn ON Highlight LDR in Google Camera means enabling the High Dynamic Range (HDR) processing mode function to highlight bright light areas in a photo. HDR allows you to take a picture that covers a larger dynamic range between the brightest and darkest areas of the scene.

When the Turn ON Highlight LDR feature is enabled, the camera will more actively process the bright areas in the photo to preserve details and prevent overexposure. This is useful in situations where bright and areas are present in the picture, for example, in the case of shooting against the sun or in strong lighting conditions. The Turn ON Highlight LDR function helps to create a balanced and detailed image, while preserving details in both bright and dark areas of the image.

Luma Denoise

Luma Denoise in Google Camera is a feature that is designed to reduce or remove noise in a photo based on brightness (luminance) parameters. Noise can occur when shooting in low light or high ISO values and can degrade the image quality. Luma Denoise uses image processing algorithms to automatically recognize and remove noise while preserving the details and sharpness of the image.

Luma New

Luna New is a feature included in the Google Camera app that uses image processing algorithms to improve the quality of photos. This feature allows you to automatically improve the lighting, contrast and color of the photo, making the image brighter and clearer. It works by analyzing and correcting various aspects of an image, including brightness, color saturation, and picture tone. Luna New can be turned on or off in the settings of the Google Camera app, and in general it helps to make photos more attractive and expressive.

Luma Noise1

Luma Noise1 in Google Camera is a feature to reduce image noise based on brightness (luma noise). Noise may appear in the photo due to low lighting, high ISO sensitivity, or other factors. Luma Noise1 works by smoothing pixels using an algorithm that can improve sharpness and image quality, especially in low light conditions. You can enable or disable Luma Noise1 in the Google Camera settings, depending on your needs and preferences.

Luma Smooth

LumaSmooth in Google Camera is an image processing feature that helps eliminate noise and smoothes textures in photos. It uses computer vision algorithms to identify and remove discrete pixels, pixel artifacts, and other anomalies in a photo. As a result, the photos look cleaner, softened and professionally processed.

Noise Reduction Opacity

Noise Reduction Opacity (optical noise reduction filter) in the Google Camera app is a parameter that allows you to control the degree of noise reduction in a photo. Noise (fine grain or pixel artifacts) can occur in photos when shooting in low light conditions or using high ISO sensitivity.

The Noise Reduction Opacity setting allows users to increase or decrease the noise reduction level in a photo. When this Opacity value is increased, stronger noise reduction is applied, which can help reduce noise in the photo, but at the same time can lead to the loss of some details and sharpness of the image. When the Opacity value is lowered, the noise reduction will be less intense, which will help preserve more detail and sharpness, but it can also preserve noise.

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This setting gives the user more control over the appearance and aesthetics of the final photo. Depending on your preferences and shooting conditions, you can experiment with this parameter to achieve the best balance between noise reduction and detail preservation.

Luma Smoothing 1

Luma Smoothing 1 in Google Camera is one of the parameters of the image processing mode that can be used when shooting on devices with Google camera support.

Luma Smoothing (brightness noise smoothing) is responsible for eliminating noise and increasing image clarity by applying various smoothing algorithms in the area of brightness, or illumination, of the image. This can be useful when photographing in low light conditions or when working with images containing small details such as text or textures.

The Luma Smoothing parameter 1 allows you to set the anti-aliasing level in the Google camera, where 0 means anti-aliasing is disabled, and higher values increase the degree of anti-aliasing. The choice of the optimal value depends on the specific shooting conditions and the photographer’s preferences.

Denoise Smoothing

Denoise Smoothing is a feature available in the Google Camera app that is used to reduce noise in photos. When you take photos in low light conditions or use high ISO sensitivity, noise may appear on the image in the form of grain or spots. Denoise Smoothing helps to reduce these noises and make photos cleaner and clearer. However, it is important to note that too much smoothing can lead to loss of image details. The anti-aliasing level can be configured in the settings of the Google Camera app.

Noise Reduction Sabre 1

Noise Reduction Sabre 1 is a feature included in the Google Camera app that helps reduce noise in photos. Noise is unwanted artifacts, such as graininess or irregularities in the image, which usually occur when shooting in low light conditions or when using high ISO levels.

The Sabre 1 Noise Reduction function uses image processing algorithms to analyze and reduce noise in a photo while preserving the details and sharpness of the image. It works by identifying and removing noise pixels or applying filtering to smooth out noise.

Noise Reduction Sabre 1 can be turned on or off in the settings of the Google Camera app, and generally helps to get cleaner and better quality photos when shooting in low light or high ISO levels.

Sabre Noise Estimals

Sabre Noise Estimals is a technology that is used in the Google Camera app to improve the quality of photos by reducing noise in the image. This technology uses image processing algorithms to increase the clarity of details and remove noise that may appear when shooting in low light conditions or at high ISO. Sabre Noise Estimals works on the basis of modern machine learning methods and can achieve good results in improving the quality of photos with low noise. Sabre Noise Estimals is a feature built into the Google Camera app that helps improve the quality of photos, especially in low light conditions or when using high ISO sensitivity. It uses image processing algorithms to reduce noise and enhance the clarity of photos.

When the camera takes a picture, it can capture a certain amount of noise, especially in poor lighting or at high ISO settings. Sabre Noise Estimals analyzes the image and tries to eliminate this noise while preserving detail and sharpness.

DETAIL (settings section)

HDR Sabre Calc val 1

HDR Sabre Calc val 1 is a parameter associated with the HDR (High Dynamic Range) extension in the Google Camera app. For HDR, it is used to create photos with a wider brightness range in order to preserve details and achieve more balanced lighting in the scene.

HDR Sabre Calc val 1 is one of the parameters used to determine and process HDR images. He is responsible for how the algorithm does the work it highlights and manages the level of detail and concentration in the HDR video game.

The value 1 in HDR Sabre Calc val 1 indicates the basic setting or the level of HDR processing. Depending on the light level and the type of camera, Google Camera can use different values, which are a parameter to achieve the best result when creating HDR images.

Usually users do not bother and do not use this parameter, so Google Camera automatically adjusts it in accordance with the camera’s terms of use and user recommendations.

HDR Sabre Calc val 2

HDR Sabre Calc val 2 is another parameter related to the HDR (High Dynamic Range) function in the Google Camera app. HDR is used to create photos with a wider range of brightness to preserve details and achieve a more balanced lighting in the scene.

HDR Sabre Calc val 2 is an additional setting or level of HDR processing. It affects the way the processing algorithm determines and manages details, contrast, and other aspects of the image when creating HDR photos.

The value 2 in HDR Sabre Calc val 2 indicates a different configuration or level of HDR processing, which may differ from the value 1 or other values. This may include more intensive processing, brighter colors, or other parameters aimed at achieving the best visual effect for a particular shot.

Usually, the user does not need to change this parameter, because Google Camera automatically adjusts it according to the shooting conditions and user preferences.

LIGHT (settings section)

Brightness Sabre

Brightness Sabre is a feature built into the Google Camera app that is responsible for processing and improving the brightness in photos. It uses image processing algorithms to adjust brightness and contrast to achieve more expressive and balanced results.

Brightness Sabre analyzes the brightness and lighting of the scene and automatically adjusts these parameters in the photo. It can increase or decrease the brightness to achieve a clearer and more detailed image. In addition, it helps to improve contrast to provide deeper shadows and brighter accents.

Google Camera usually automatically turns on and adjusts the Brightness Sabre feature for each shot to achieve the best visual effect. However, the user is also given the option to adjust the brightness and contrast manually using additional settings in the application, if additional correction is required.

HDR RAW2 (Black Contrast 2)

HDR RAW 2 (Black Contrast 2) in Google Camera is a parameter related to the processing of HDR (High Dynamic Range) and RAW format in the Google Camera application.

HDR RAW 2 refers to the contrast settings and the processing of black tones when creating HDR images in RAW format. The RAW format allows you to save more information about the scene and provides more flexibility for subsequent processing.

Black Contrast 2 indicates the level of contrast and processing of black tones when creating HDR images in RAW format. A value of 2 usually indicates a higher contrast level and deeper black shadows in HDR RAW photos.

This parameter allows the user to adjust the contrast level and the effect of black tones when creating HDR images in RAW format. It can be useful to achieve the desired effect and expression in photos, especially when processing external tools or programs for working with RAW files.

Dehazed Black

Dehazed Black is a feature of the Google Camera app that helps reduce haze and improve the contrast and clarity of black objects in photos. It can be used to improve the visibility and detail of dark areas of images.

Contrast

Contrast determines the relationship between light and dark areas of the image and affects their contours and depth.

In the Google Camera app, you can adjust the contrast level using the settings slider. Shifting to the left will decrease the contrast, while shifting to the right will increase the contrast. You can experiment with this parameter to achieve the desired effect and adjust the contrast according to your preferences.

However, it must be remembered that activating the contrast setting can lead to an unnatural or distorted image appearance, especially if the contrast is set to a very high level. Therefore, it is recommended to use this setting carefully and pay attention to the results of the photo before saving. Contrast is a setting that controls the difference between light and dark areas in a photo. In the Google Camera settings, you can adjust the contrast to improve or decrease the overall tonal range of the image. Increasing contrast increases the differentiation between light and dark areas, resulting in a more dramatic and crisp look. Reducing contrast softens the transitions between tones, creating a more subdued and balanced look. Adjusting the contrast can significantly affect the overall mood and visual impact of the photo.

Coef Contrast

Coef Contrast – is responsible for increasing or decreasing the contrast of the image. The contrast ratio can be changed in the range from -10 to +10. As the contrast ratio increases, the image becomes more saturated, with brighter light and dark areas. When the contrast ratio value decreases, the image becomes more pastel and less contrasting. The Coef Contrast setting allows the user to control the contrast level in photos to achieve the desired effect.

Coef Contrast 2

Coef Contrast 2 – refers to setting the contrast of the image. This is a coefficient that allows you to increase or decrease the contrast of a photo depending on your preferences. You can change this value to achieve the desired effect and emphasize details or make the image softer.

Shadow and Light intensity

Shadow and Light intensity – allows you to adjust the balance between shadows and light areas in your photos. By changing this parameter, you can control the overall brightness and contrast of images, optionally increasing or decreasing the visibility of shadows and light areas. In the settings of the Google Camera app there is an item Shadow and Light intensity (Shadow and light intensity), which allows you to adjust the exposure of the photo, change the brightness of shadows and the intensity of lighting. This helps to achieve higher image quality in various lighting conditions. The user can adjust these parameters using sliders in the application to achieve the desired effect.

HDR2

HDR2 is an advanced Extended Dynamic Range (HDR) mode available in the Google Camera app. It expands the dynamic range of the photos taken, which leads to better exposure and detail in both bright and dark areas of the image. HDR 2 is usually used when shooting scenes with extreme contrast, such as landscapes with a bright sky and a dark foreground.

LDR Highlighting

LDR Highlighting in GCAM 8.4 is a Google camera feature that allows you to improve the quality of images in conditions of a large brightness difference between light and dark areas. LDR (Low Dynamic Range) Highlighting is a process that allows you to more accurately transmit and preserve details in bright areas of the image when shooting in difficult illuminated conditions. This feature works by mixing images with different exposures to achieve the greatest possible detail in areas with high brightness.

HDR Ratio 2 (Exposition 2)

HDR Ratio 2 (Exposure 2) in the Google Camera settings is an option that allows you to increase the dynamic range and improve the image quality when using the HDR (High Dynamic Range) function. Basically, HDR Ratio 2 (Exposure 2) processes the image in such a way as to preserve more details in both bright and dark areas of the image. This is especially useful in uneven lighting conditions, where both very dark and very bright areas are present.

HDR Ratio 3

HDR (Extended Dynamic Range) is a feature of the Google Camera app that helps you capture images with greater detail and balanced exposure. The HDR ratio setting refers to the level of HDR processing applied to the image. A factor of 3 means that the application will give priority to HDR processing more aggressively, which will lead to an expansion of the dynamic range and improved detail in difficult lighting conditions. HDR Ratio 3 in Google Camera settings means that the HDR effect will be enhanced three times compared to the normal shooting mode. This allows you to get brighter and more detailed photos with good contrast between the light and dark areas of the image. However, it is worth noting that using HDR Ratio 3 may take longer to process photos and entail a slight decrease in the quality of the image in motion.

Highlight compensation

Highlight compensation in the GCAM application is a parameter that allows you to control the brightness and details in the illuminated areas of the image.

When shooting in bright lighting conditions, some areas of the image may be overexposed, which leads to loss of detail and glare. Highlight compensation in GCAM is designed to reduce the brightness of illuminated areas and restore details in them.

In the settings of Google Camera, you can find various image compensation options. Compensation 2 is one of them. It allows you to adjust the exposure of the photo to achieve the best image quality under various lighting conditions. Using Compensation 2, the user can increase or decrease the brightness of the image to more accurately convey details and colors in the photo. This feature is useful when the background is heavily lit or darkened, and you need to improve the visibility of the object in the image.

Highlight Contrast

Highlight Contrast in the settings of Google Camera (GCAM) is responsible for the contrast of high light spots in photos. This function allows you to more accurately adjust the brightness and contrast of high light areas in the image.

When the Highlight Contrast value is increased, high light spots become brighter and more contrasting, which can lead to more pronounced brightness in these areas. On the other hand, when the Highlight Contrast value decreases, high light spots may become softer and less contrasting, which creates a smoother and smoother effect.

This feature is useful when photographing in conditions of high contrast between bright and dark areas or when working with images containing bright light sources, such as the sun or lamps. However, the Highlight Contrast effect may depend on the lighting and the scene, so it is recommended to experiment with its settings to achieve the desired effect on the photo.

PREFERENCE (settings section)

Sabre Motion Fix (SMF)

Is a feature that is also used in modified versions of the Google Camera (GCAM). It is designed to improve image quality, especially when shooting in traffic conditions.

When photographing fast-moving objects or when shooting in motion, there is often a problem of blurring or loss of detail due to movement. Sabre Motion Fix is designed to fix this problem by automatically correcting blurriness and restoring details in the image that may be lost as a result of movement.

This feature uses the Sabre processing algorithm, which analyzes and compensates for the effects of motion on the image, improving its sharpness and detail. The result of using Sabre Motion Fix can be a clearer and more detailed image when shooting fast moving objects or in traffic conditions.

However, it is important to note that Sabre Motion Fix is a feature specific to certain GCAM modifications, and its presence and behavior may vary in different versions and configurations. If you are interested in using this feature, it is recommended to refer to the description and documentation of a specific GCAM modification or refer to the relevant resources and communities dedicated to GCAM modification.

Recompute WB On Base Frame

Recompute WB On Base Frame in Google Camera settings allows you to recalculate the white balance (WB) on the base frame.

White balance determines how colors in an image are perceived by the camera. It is used to correct the color of images in accordance with the lighting in the scene. Usually cameras automatically detect the white balance, but sometimes this can lead to the wrong shade of color.

Recompute WB On Base Frame allows you to recalculate the white balance based on a specific base frame. This can be useful when shooting in difficult lighting conditions or when accurate reproduction of colors is required. The recalculated white balance is then applied to all subsequent frames to make the colors look natural and accurate.

Device is on tripod

In the settings, Google Camera allows you to activate or deactivate a mode that optimizes shooting for a stationary device mounted on a tripod or similar stabilizing surface.

When the Device is on tripod function is enabled, the camera will take into account the stability of the device and reduce vibrations when shooting. This helps to get a sharper image and avoid blurring that may appear when using a stationary device.

In general, activating this option is useful when shooting long exposures, night shots, or in other situations where camera stability is an important factor for obtaining high-quality photos.

Downsample by 2 before merge

In the settings, Google Camera adjusts the process of reducing the resolution of the image before combining it with other frames in HDR+ mode.

When the Downsample by 2 before merge feature is enabled, Google Camera reduces the resolution of each frame by half before merging them. This approach allows you to save computing resources and speed up image processing.

However, when using this option, details in the snapshot may be lost due to a decrease in resolution. Therefore, if you want to keep the maximum possible resolution and detail in the snapshot, you can disable this feature. This parameter adjusts the image quality level and file size when taking photos in HDR+ mode in Google Camera. Lowering the resolution of images allows you to reduce noise, improve dynamic range and increase image clarity, while managing file size and processing time.

Allow temporal binning

In Google Camera, the algorithms of the camera software are regulated. These algorithms control how the camera captures and processes images over a period of time, which helps to improve image quality and reduce noise by combining multiple frames. Temporal binning (or temporal binning) is a technique in which several frames are combined into one image to improve quality and reduce noise. When the Allow temporary binning option is enabled, Google Camera can use this technique to create clearer and less noisy images.

However, the use of temporary binning may lead to some restrictions:

  • It may take longer to process the image, especially when shooting in low light conditions or in the absence of sufficient stabilization of the device.
  • When shooting moving objects, artifacts or blurring may appear in the photo.
  • The resolution in the final image may be reduced.

Therefore, depending on the situation and your preferences, the option Allow temporary binning may be useful or not.

Simultaneous merge and finish

In the settings, Google Camera allows you to activate or deactivate the simultaneous merging and completion of the shooting process when using the HDR+ function.

When this option is enabled, Google Camera will combine and process several HDR+ frames at the same time, which allows you to complete the shooting process faster and get the finished image. This can be useful when shooting in time-limited environments where fast photo processing is required.

However, when Simultaneous merge and finish is activated, there may be a slight decrease in image quality or detail level, since the process of merging and processing takes place in real time. Therefore, if maximum detail and image quality are important to you, you can disable this option and wait for each frame to be fully processed before completing the shooting.

Tun Suppress Hot pixel

In the settings, Google Camera adjusts the suppression of hot pixels when shooting.

Hot pixels are pixels on the camera matrix that have an increased sensitivity to light and can manifest as bright dots or noise in photos. They can occur during prolonged exposure, high ISO, or at elevated temperatures.

When the To Suppress Hot pixel option is activated, Google Camera will apply image processing algorithms to suppress hot pixels. This helps to reduce the number or decrease the brightness of these artifacts in the photo, resulting in a cleaner and better image.

However, it should be noted that the suppression of hot pixels can affect the overall clarity or detail of the image in dark areas. Therefore, for some shots, especially in low-light conditions, it may be better to disable this option in order to preserve all the details and preserve the naturalness of the image.

UX Mode (User Experience Mode)

Version 1

UX mode in Google Camera settings means user interaction mode. This refers to various settings and features that improve user experience when using the camera app. This may include parameters such as gesture control, intuitive interface design, quick access to settings and other elements that make the camera app more convenient and enjoyable to use.

Version 2

UX Mode (User Experience Mode) in the settings of Google Camera (also known as GCam) is a mode that allows the user to customize the experience of using the camera to his own preferences and needs.

In UX mode, the user can adjust various camera parameters, such as exposure settings, white balance, contrast, saturation, etc. This allows the user to create and customize their own settings to get the desired visual representation of photos.

UX Mode can also provide improved features and capabilities, including support for additional shooting modes, selection of certain camera functions, etc.

In general, the UX Mode in Google Camera settings gives users more control over camera settings and allows them to create photos according to their own vision and preferences.

Sky change brightness

Version 1

The Sky change brightness setting in the Google Camera app adjusts the brightness of the sky when taking photos in Nightsight mode. This feature allows users to increase or decrease the brightness of the sky in a photo to achieve the desired lighting effect at night. Increasing the brightness of the sky can help create brighter and more detailed night shots, while reducing the brightness may be suitable for creating atmospheric night scenes.

Version 2

The Sky Change Brightness function in the Google Camera settings refers to the Nightsight mode, which is designed for shooting in low light conditions or in the absence of natural light, for example, at night or indoors.

When Nightsight is activated, the Sky Change Brightness function allows you to adjust the brightness of the sky in the resulting photo. This can be useful if you want to increase or decrease the brightness of the celestial background in an image to achieve the desired effect or lighting balance.

The Sky Change Brightness setting is usually represented by a slider or a value that can be changed within a certain range. If you increase the value of Sky Change Brightness, the sky in the photo will become brighter, and when you decrease the value, it will become darker.

Please note that the availability and behavior of this feature may vary depending on the version of Google Camera or the modified version you are using. If you want to get more information about the Sky Change Brightness feature in a specific version of Google Camera, it is recommended to refer to the relevant documentation or community resources related to Google Camera.

Basic Settings (Settings section)

Sharpness A

(Sharpness A) In the settings of Google Camera is responsible for adjusting the level of sharpness of the image when shooting.

Sharpness is an image characteristic that determines the degree of clarity and detail in a photo. Increasing the level of sharpness makes the contours in the image more pronounced, which can improve the clarity and sharpness of visual perception. However, too high a level of sharpness can lead to noise and artifacts in the image.

The Sharpness A setting is usually represented as a slider or a value that can be changed. Perhaps you have the opportunity to set the desired degree of sharpness, based on your tastes and preferences in photography.

It is important to note that the availability and behavior of the Sharpness A function may vary depending on the version of Google Camera or the modified version you are using. If you need more information about the Sharpness A feature in a specific version of Google Camera, it is recommended to refer to the relevant documentation or community resources related to Google Camera.

Sharpness B

In the settings, Google Camera adjusts the sharpness level of the image. Increasing the value of Sharpness B makes the image sharper, while decreasing the value makes it less sharp. This allows the user to control how clear and detailed their picture will be. Works in tandem with Sharpness A.

Chroma A, Chroma B

They are probably variations of the Chroma Denoise setting. The Chroma Denoise parameter in Google Camera controls the reduction of color noise in your photos. This helps to smooth out any unwanted color variations or artifacts in low light conditions or high ISO values. To adjust this setting, you can usually find it in the camera app settings or in the image processing settings. Setting the Chroma Denoise parameter allows you to increase or decrease the noise reduction power according to your preferences.

Denoise

In Google Camera, it adjusts the noise reduction level in the image. Increasing the value of this setting results in a smoother and less noisy image. This is especially useful in low light conditions or when using higher ISO sensitivity values, which can lead to more noise in the photo. However, increasing the value of Denoise may also lead to the loss of some detail in the image. The user can independently configure this option according to their preferences.

Spatial A, Spatial B

They are probably variations of the Spatial Denoise setting. The Spatial Noise Reduction parameter in Google Camera regulates the degree of noise reduction applied to the image. When you increase the value of Spatial Noise Reduction, more aggressive noise reduction is applied, smoothing the image and reducing the visible noise. On the other hand, decreasing the value results in less noise reduction and potentially a more detailed but noisier image.

Luma A, Luma B

Probably are varieties of the settings of the Denoise LUMA. The Luma Denoise parameter in Google Camera controls the degree of noise reduction applied to the image. This helps to reduce graininess and speckles in photos in low light or at high ISO values. To adjust it, you can usually change the setting using the menu in the camera app. Positive values increase noise reduction, while negative values decrease the effect. By experimenting with different settings, you will be able to find the right balance between noise reduction and image sharpness. They work in pairs with each other.

Luma Denoise New A

In Google Camera, it controls the strength of the noise reduction effect applied to the image. This reduces the noise that usually occurs in low light conditions, resulting in a smoother and cleaner image. The specific details of how it works are not publicly disclosed, but the noise reduction algorithms are aimed at analyzing the image and removing unwanted noise, while preserving important details.

Luma Denoise New B

In Google Camera, it controls the intensity of brightness noise suppression during image processing. It reduces noise in the image by smoothing out brightness changes while preserving details. The specific algorithms and methods used by Google Camera to achieve such noise reduction are the property of the company and are not publicly disclosed.

Temporal A

Google Camera controls the use of temporary noise reduction during image processing. It works by analyzing multiple consecutive image frames and applying noise reduction techniques to create a final image with reduced noise and improved overall quality. This setting can be adjusted to balance noise reduction and image sharpness in low light conditions.

Temporal B

In Google Camera, it controls the degree of temporary noise reduction applied to photos. Temporal noise is random changes in image quality in a series of consecutive frames. By enabling Temporal B, the camera quickly captures multiple frames and uses algorithms to analyze and reduce noise by comparing and aligning these frames. This helps to get cleaner and sharper images, especially in low light conditions.

Lumanoise

In Google Camera, this is a noise reduction feature that reduces the amount of noise in photos in low light. It works by analyzing the image and applying algorithms to suppress noise, resulting in images that become cleaner and smoother.

Saturation

In Google Camera, it controls the intensity and brightness of colors in a photo. Increasing the saturation makes the colors brighter and more saturated, and decreasing the saturation makes them less bright. It works by adjusting the color balance and increasing or decreasing the color intensity of the image.

Saturation 2

Google Camera probably has an advanced color saturation setting that allows you to fine-tune the saturation level for more precise control over color reproduction. However, the specific behavior and impact on photos may vary depending on the version and configuration of the Google Camera. It is recommended to experiment with saturation settings and choose values that match your visual representation.

Saturation 3

Google Camera probably has an additional color saturation setting that allows for more advanced control over color reproduction in images. Similar to the basic Saturation setting, increasing the value of Saturation 3 makes the colors brighter and more saturated, and decreasing the value makes the colors paler and less saturated. The user can customize this option depending on their preferences and requirements for photos.

ISO

In Google Camera, it controls the sensitivity of the lens to the light that hits the sensor during shooting. The higher the ISO value, the more sensitive the lens becomes to light, and the brighter the image can be.

With a low ISO value (for example, ISO 100), the lens is less sensitive to light, which may be suitable for shooting in bright sunlight or in well-lit rooms. It also helps to reduce noise in the image, but there may not be enough light to illuminate the scene, which can lead to dark and underexposed areas in the photo.

On the other hand, at higher ISO values (for example, ISO 800, ISO 1600 and higher), the lens becomes more sensitive to light, which allows you to get brighter images in low-light conditions. However, there may be more noise and loss of detail due to the amplification of the sensor signal.

It is important to take into account the light conditions and the desired effect in order to choose the optimal ISO value. It is recommended to use the ISO setting wisely to achieve a balance between exposure and image quality.

SHARPNESS (settings section)

Sharp Shasta Motion

Google Camera adjusts the degree of motion processing when shooting. It affects how the camera handles moving objects and the blurriness associated with movement in the frame.

When the Sharp Shasta Motion setting is enabled, Google Camera will apply advanced motion compensation to reduce image blurring caused by moving objects or camera swaying. It uses motion compensation algorithms to create sharper and sharper photos when shooting in motion or unstable conditions.

It is especially useful when taking photos in low light conditions, when the shooting time increases, which can lead to blurring of the image. The Sharp Shasta Motion setting helps to eliminate blurring and preserve the details and sharpness of objects in the photo.

It is important to note that the Sharp Shasta Motion setting is only available on devices that support this feature in Google Camera. It can be activated or disabled in the camera settings, depending on the user’s preferences.

Sharp Depth 1

Google Camera adjusts the depth of field when taking portrait photos. It affects how the camera creates a background blur effect, known as the bokeh or background blur effect mode.

When the Sharp Depth 1 setting is enabled, Google Camera uses image processing algorithms to highlight the main object (usually a person) in the photo and create a background blur. This allows you to make the object more expressive and add depth to visual perception.

The Sharp Depth 1 setup is based on analyzing the depth of the scene using a camera depth sensor or computer vision algorithms. The camera detects which object is in the foreground and applies a blur to the background to create a blur effect.

Sharp Depth 2

In Google Camera, it controls the level of sharpness and detail in photos, especially when shooting using the Depth effect or the Portrait mode. Increasing the value of Sharp Depth 2 makes the contours of objects clearer and the overall image sharper.

This setting works by applying additional processing that enhances the sharpness of the edges and the detail in the background of the image when using the background blur effect. This helps to create a visual effect of deeper depth in the photo.

It is recommended to experiment with this setting to achieve the desired level of sharpness and detail of photos with the Depth effect. It is important to remember that too much sharpening can create an unnatural appearance and artifacts in the image, so it is recommended to adjust this option wisely.

Sharp Mini

Google Camera adjusts the sharpness and detail of photos. The Sharp Mini setting controls the sharpness level for general shots. When you increase the value of this setting, the photos will have a clearer and more detailed look. If the value is too high, it can lead to undesirable effects, such as noise or artificial appearance.

Sharp Macro

Google Camera adjusts the sharpness and detail of photos. The Sharp Macro setting is specifically designed for close-up or macro photography. It emphasizes the sharpness of small details, such as textures or small objects, while maintaining the natural look of the rest of the image.

Sharpening Edge

In Google Camera, it adjusts the sharpness level of the image edges. When it is enlarged, the edges of the objects in the photo become clearer and stand out. This can help add detail to the image.

This setting works by applying sharpening to a photo based on the contrast of pixels around the edges of objects. It analyzes pixel brightness differences and enhances contrast to make the edges more noticeable.

The effect of the Sharpening Edge setting can be noticeable especially on the sharp edges of objects, such as the contours of people, buildings or text. However, too high a level of sharpness can cause noise in the image or artificial highlighting of the edges, which may look unnatural. Therefore, it is important to choose the optimal value of Sharpening Edge according to your preferences and the type of objects being shot.

Sharpness for the Noise model

In Google Camera, it adjusts the sharpness of the image for a noise model that does not use the Sabre algorithm. The higher the value of this setting, the sharper the details in the photo will be. However, too high a sharping value can lead to artifacts or amplification of noise in the photo. Therefore, the optimal setting value depends on the specific situation and the photographer’s preferences.

Raisr Zoom Factor Tuning 1

The Google Camera allows the user to control the magnification factor when using optical magnification. It adjusts how much the image is magnified when using the zoom in the camera app. Setting a higher value of this setting may increase the image to a greater extent, but with a possible loss of quality. The setting can be important for those who often use zoom when shooting on Google Pixel devices, allowing you to adjust the zoom level more precisely depending on the situation.

Raisr Zoom Factor Tuning 2

In Google Camera, it adjusts the magnification level of the image when using the digital zoom function. This allows the user to adjust the optimal ratio between the level of detail and the noise level when the image is enlarged. A higher value of this setting will result in a larger image magnification, but may also increase the noise level. The user can adjust this option depending on their preferences and shooting conditions.

Soft Sharp (subsection of the settings menu Sharpness)

Soft Sharp A (high sharp)

The Soft Sharp A (high sharpness) parameter in Google Camera adjusts the level of sharpness applied to captured images. It increases the sharpness of the image, making the edges and details more pronounced and clear.

Soft Sharp B (medium sharp)

The Soft Sharp B (Medium sharpness) parameter in Google Camera adjusts the level of sharpness applied to captured images. It allows you to adjust the balance between softer and sharper details of the image, providing an average level of sharpness. The “Soft Sharp B” sharpness setting in Google Camera allows you to adjust the degree of background blur in the photos taken. The higher the setting value, the stronger the blur and the more pronounced the objects in the foreground seem.

Soft Sharp C (low sharp)

Soft Sharp C is a setting in the Google Camera app that can be used to adjust the sharpness of photos. When you increase the value of this setting, the image becomes clearer, and the details on it become more distinguishable. This allows you to get better photos, especially if you want to emphasize certain details or objects in the picture.

Zipper NR (subsection of the Sharpness settings menu)

Zipper NR 1

In Google Camera refers to a noise reduction feature that aims to reduce visible noise or grain in photos. When enabled, Zipper NR applies a noise reduction algorithm to the captured image.

The algorithm analyzes the image and identifies areas with noise, such as in low light or high ISO conditions. It then applies a mathematical process to smooth out the noise while preserving as much detail as possible. It does this by examining neighboring pixels and averaging their values to create a more cohesive and cleaner representation of the image.

The Zipper NR setting can have different levels or intensity settings, allowing users to customize the amount of noise reduction applied. A higher level of noise reduction can result in a smoother look, but can also result in a loss of fine detail and a slight loss of image sharpness. On the other hand, lower noise reduction levels may retain more detail but may not effectively reduce noise.
It’s important to note that noise reduction algorithms can sometimes create artifacts such as blurring or smearing, especially in areas with complex textures or fine detail. Thus, finding the appropriate balance between noise reduction and image detail preservation is critical.

As such, the Zipper NR setting in Google Camera uses a noise reduction algorithm to reduce visible noise in photos, striking a balance between noise reduction and preserving image detail. The Zipper NR menu typically provides two settings:

  • Noise Reduction Level: You can adjust the noise reduction level from minimum to maximum. Higher levels of noise reduction result in more detail loss, but also reduce noise. Adjust this setting depending on your preference for the trade-off between noise and detail in images.
  • Sharpness Level: Some versions of Google Camera also provide sharpness level adjustment. You can sharpen or sharpen the image depending on your preference. Note that a higher level of sharpening may help restore some of the loss of detail when using a high level of noise reduction, but may also increase noise.

Zipper 2/Coef Spatial 1

Google Camera refers to a specific parameter that regulates the level of image compression and spatial filtering applied to photos taken with the camera app. This parameter consists of two components: Lightning 2 and Spatial Coefficient 1, which together improve the image quality.

  1. Zipper 2: This component refers to the compression algorithm used to reduce the size of the image file. If this option is enabled, a certain level of compression is applied to the image data, which reduces the file size. However, higher compression can lead to loss of image details and an increase in the number of image artifacts, such as pixelation or blurring. Setting the Zipper 2 parameter allows users to find a balance between image quality and file size.
  2. Coef Spatial 1: This component controls the level of spatial filtering applied to the image. Spatial filtering is the process of improving or smoothing certain areas of an image to reduce noise or improve overall sharpness. By adjusting Coef Spatial 1, users can control the strength of this filtering effect.

Thus, setting up Zipper 2/Coef Spatial 1 in Google Camera allows users to control the compromise between image file size and quality. By adjusting these parameters, users can adjust the compression level and spatial filtering to achieve the desired balance of image quality and storage space.

Zipper 3/Coef Spatial 2

The Google Camera is associated with image processing algorithms used to reduce noise and improve image details in low light or difficult conditions.

The Zipper 3 component refers to an algorithm that helps reduce noise, especially in dark areas of the image. It works by analyzing image data and applying filters to suppress unwanted noise while preserving important details. This helps to get cleaner and smoother images by minimizing the graininess often present in photos in low light.

On the other hand, the Coef Spatial 2 function increases the detail and sharpness of the image. It involves analyzing the local contrast and edges of the image, and then applying the appropriate adjustments to make the edges clearer and the overall image sharper. This can be especially useful when shooting detailed textures or complex patterns.

By adjusting these settings, users can find a balance between noise reduction and improved detail according to their preferences and specific shooting conditions. Keep in mind that on different devices or versions of Google Camera, the implementation or terminology of these settings may vary slightly.

Sabre Sharp (subsection of the settings menu Sharpness)

Sabre Sharp

In Google Camera is a feature that increases the sharpness and clarity of images taken on your smartphone. It uses advanced image processing algorithms to improve the perceived sharpness of edges and fine details in photos.

When Sabre is turned on, Sharp analyzes the captured image and applies sharpening algorithms to enhance the clarity of edges and textures. This increases the contrast between neighboring pixels, making the edges sharper and sharper. This leads to a noticeable improvement in the sharpness and detail of the final image.

The algorithm used by Sabre Sharp is designed to achieve a balance between sharpening the image and preventing the appearance of unwanted artifacts, such as halo effects or noise. This is achieved by intelligently detecting edges and fine details and applying sharpening only to these areas, leaving smoother areas unaffected.

The Sabre Sharp function allows users to adjust the sharpening intensity according to their preferences. This provides the flexibility to adjust the level of sharpness for different types of photos or personal taste. Users can increase the sharpness to make the images look sharper and more detailed, or decrease it to get a softer and more natural look.

It is important to note that although Sabre Sharp can increase the perceived sharpness of images, it cannot restore details that are completely lost due to factors such as low resolution or poor focus during shooting. The effectiveness of the function also depends on the quality of the original image and the capabilities of the smartphone camera.

Thus, Sabre Sharp in Google Camera is a feature that uses advanced algorithms to sharpen and sharpen images. It analyzes the photo, detects edges and small details and sharpens to improve their clarity. This feature provides flexibility in adjusting the intensity of sharpening and aims to achieve a balance between sharpening and preventing unwanted artifacts.

Sabre Sharp 2

It is probably an analogue of the Sabre Sharp settings. It is recommended to experiment with settings and find the optimal balance for your needs.

Sabre Sharp 3

It is probably an analogue of the Sabre Sharp settings. It is recommended to experiment with settings and find the optimal balance for your needs.

Sabre Contrast – Sharp

In Google Camera, it is responsible for managing the contrast and sharpness of images. This feature uses computer vision technology, neural networks and image processing algorithms to optimize the contrast and detail of photos.

When the Sabre Contrast – Sharp feature is enabled, Google Camera analyzes the image and applies optimal contrast and sharpness settings to increase detail and clarity. It can improve the quality of photos, especially in low-light conditions or when shooting in difficult conditions.

When enabling Sabre Contrast – Sharp, Google Camera applies contrast enhancement algorithms that emphasize the boundaries and differences in brightness between objects in the image. This can lead to more realistic and lively photos where details are more prominent and highlighted.

However, it should be noted that Sabre Contrast – Sharp activation may not always be suitable for all scenes and shooting conditions. Sometimes it can amplify noise in the image or lead to a loss of naturalness of colors and shades. Therefore, individual adjustment of this function may be required for each specific case, depending on the shooting situation and the desired effect.

In general, the inclusion of Sabre Contrast – Sharp in Google Camera allows you to achieve more detailed and contrasting photos, but this effect may depend on the shooting conditions and user preferences.

Sharpness Gain (blocks and replaces the work of all other Sharp-s) (subsection of the settings menu Sharpness Gain)

Sharp Gain

Version 1

The Sharp Gain setting in Google Camera is responsible for adjusting the level of sharpness or clarity of images taken using the camera on the device. When Sharp Gain is turned on, it increases the contrast of edges and details in an image to make it appear sharper and clearer.

If Sharp Gain is turned off, images may appear less sharp and softer. Enabling this feature adds extra sharpness and contrast to improve the detail and clarity of objects in your photo.

However, if Sharp Gain is used too high, an effect known as haloing can occur, where objects in a photograph have subtle halos around their outlines that stand out from the background. To avoid this effect, it is recommended to either set the Sharp Gain settings to a lower value or use other editing techniques to achieve the desired detail and sharpness in your photos.

Please note that the optimal Sharp Gain value may vary depending on lighting conditions, subject matter, and individual user preferences. It is recommended that you experiment with the Sharp Gain setting to find the optimal value for your specific situations and requirements.

Version 2

The Sharp Enhance option in Google Camera controls the sharpness applied to the captured image. It controls the level of sharpening applied during image processing. Increasing the sharpness value results in a higher level of sharpness, making the edges and details of the image more pronounced. Conversely, decreasing the sharpening value reduces sharpness, resulting in a softer and less clear image. This setting allows users to adjust the level of sharpening to their liking, balancing between a more natural and sharper image.

Version 3

The Sharp Gain setting is responsible for increasing image sharpness. Basically, it is used to improve the quality of photos taken on smartphones with not very good cameras.

Sharp Gain increases image clarity and contrast, making images appear sharper and more detailed. This can be useful in situations where you need to get a clearer image, such as when photographing small details or objects.

However, increasing Sharp Gain too much may result in loss of image quality and noise. Therefore, before using this setting, it is necessary to test on various images to determine the optimal Sharp Gain level for a particular case.

Sharp Gain Micro

(Micro-sharpening) in Google Camera is responsible for sharpening the smallest details in photos. When this setting is enabled, it increases the sharpness and clarity of images, especially in areas with fine textures or details. It helps to increase the clarity and contrast of images, making them brighter and more detailed.

However, it is worth noting that using too high a micro-sharpening value can lead to an undesirable effect called noise (noise in the image). Therefore, it is recommended to experiment with this setting to find the optimal value that will emphasize the details while maintaining the natural look of the photo.

The value of this setting in Google Camera can usually be changed from negative (-2) to positive (+2) values, where positive values mean that sharpness will increase, and negative values mean that sharpness will decrease. The app can also provide other related settings for better control over the sharpness of photos, including the overall sharpness setting and setting the level of detail.

Sharp Gain Macro

(Macro Sharpening) in Google Camera is responsible for enhancing the sharpness of images when taking macro photos. When the macro mode is activated, the camera focuses on a very close object, which can lead to the loss of some sharpness and detail.

Sharp Gain Macro allows you to control the level of sharpness of macro photos to make images clearer and more detailed. The user can adjust this parameter in Google Camera by selecting the optimal level of sharpness that corresponds to his preferences.

When using high Sharp Gain Macro values, the contrast and sharpness in the image will increase. However, too high values can lead to excessive sharpness, which may look unnatural or cause artifacts in the photo. The setting of this parameter depends on the user’s preferences and shooting goals.

In general, Sharp Gain Macro is a useful setting for photographing macro photography, allowing you to enhance the detail and sharpness of small objects such as flowers, insects or other closely located objects.

Sharp Gain Level (subsection of the settings menu Sharpness Gain)

Gain Intensity

In the Sharp Gain Level section in GCAM, it is responsible for the intensity of increasing the contrast and sharpness of the image. When this setting is increased, the contrast between the light and dark areas increases, as well as the edges of the objects in the photo increase in clarity.

More detailed:

  • Increasing the intensity of contrast enhancement: When the Gain Intensity value is increased, the borders of objects are highlighted more brightly and the contrast between different elements of the image increases. This can lead to a richer and more spectacular visual interpretation of the scene in the photo.
  • Increased Edge Sharpness: Increasing Gain Intensity also helps to sharpen the edges of objects in the photo. This makes the borders of objects clearer and more detailed, which increases the visual effect and attractiveness of the image.

However, it is worth noting that too high a Gain Intensity value can lead to artifacts and noise in the image, as well as create an unnatural effect. Therefore, it is recommended to carefully adjust this option depending on the desired effect and the nature of a particular photo.

Gain Radius

Under Sharpening Level, Google Camera is responsible for controlling the radius at which sharpening is applied to the image. Here is a detailed description of its functionality:

  1. Sharpening algorithm. Google Camera uses a sharpening algorithm to enhance the clarity and detail of captured images. Adjusting the gain radius plays a crucial role in the sharpening process.
  2. Local sharpening. Sharpening is usually done by increasing contrast around edges and fine details. However, it is important to not allow sharpening to affect broader areas, such as smooth gradients or out-of-focus areas. The Gain Radius parameter determines the spatial extent within which the sharpening is focused.
  3. Radius control. The Radius Gain option adjusts the size of the radius around each pixel to which the sharpening effect is applied. A smaller radius more accurately highlights fine details and edges, while a larger radius affects a wider area, potentially including softer transitions and larger structures.
  4. Enhance Fine Details: When the Enhance Radius is set to a smaller value, the sharpening effect becomes more localized, selectively enhancing intricate details. This can be useful for capturing images with complex patterns, textures, or smaller objects that require sharper images.
  5. Halo artifacts. On the other hand, using a larger boost radius can result in a wider sharpening effect. However, this can sometimes lead to unexpected side effects such as ghosting or artifacts along high-contrast edges. These halos can be perceived as unwanted transitions between areas of different sharpness.
  6. Sharpness balancing. The optimal choice of gain radius setting is subjective and depends on the specific image and desired result. This often involves finding a balance between emphasizing fine details and minimizing the risk of noticeable artifacts or unnatural sharpening effects.

So the Enhance Radius setting in Google Camera’s Sharpening Level section determines the radius to which the sharpening is applied. This affects the amount of local sharpening, fine detail enhancement, and the risk of ghosting or artifacts. Adjusting this setting allows users to find a balance between highlighting details and maintaining a natural look to captured images.

Gain Small Radius

The Small Radius Enhancement option under Sharpening Level in Google Camera is a setting that affects the sharpening algorithm used by the camera app. It specifically targets fine details with smaller radii and adjusts the amount of sharpening applied to those details. Here is a detailed description of its functionality:

  1. Sharpening algorithm. Google Camera uses a sharpening algorithm to enhance the clarity of captured images. This algorithm works by increasing the contrast between adjacent pixels, creating the appearance of increased sharpness. The Small Radius Enhancement option is part of this algorithm and controls the effect of sharpening finer details.
  2. Small radius parts. There are different types of details present in the image, from larger objects to smaller intricate patterns. The Small Radius Enhancement option focuses on sharpening small-radius details, such as fine textures, fine lines, or small textured areas.
  3. Control the intensity of sharpening. The Small Radius Enhancement option allows you to control the intensity of sharpening specifically applied to these finer details. By adjusting this setting, you can increase or decrease the amount of sharpening applied to fine textures, optimizing the level of detail enhancement to suit your preferences.
  4. Improvement of small details. Increasing the Small Radius Enhancement setting sharpens small-radius details, making them appear more defined and defined. This can result in a clearer presentation of complex patterns or textures, resulting in a more visually appealing image with increased detail clarity.
  5. Potential trade-offs. While higher levels of Small Radius Enhancement may reveal more fine detail, they may also result in some artifacts or ghosting around sharp edges. These artifacts can be especially noticeable if the setting is taken to extremes. It’s important to find the right balance to avoid the final image looking unnatural or over-processed.

Overall, the Small Radius Enhancement option in Google Camera allows you to fine-tune the sharpening effect applied to the finer details in your photos. It offers control over the intensity of sharpening for fine textures, helping you achieve the level of clarity and enhanced detail you desire without sacrificing overall image quality.

Gain Medium Radius

The Mid Radius Enhance option under Sharpening Level in Google Camera controls the radius of the sharpening effect applied to the image. Here’s a description of how it works, divided into numbered paragraphs:

  1. Sharpening is a digital image processing technique that increases the perceived sharpness of an image. It works by increasing the contrast around the edges to make them appear sharper. The Mid Radius Enhancement setting specifically affects the size of edges to be sharpened.
  2. Radius is the size of the area around the edge to which the sharpening effect is applied. A larger radius means more pixels around each edge are affected, resulting in a broader improvement. Conversely, a smaller radius concentrates the sharpening effect into a narrower band around the edges.
  3. Mid-Radius Enhancement provides a balance between fine detail and overall image sharpness. If set to a lower value, such as 1 or 2, the radius becomes smaller and the sharpening effect mainly focuses on fine details. This can be useful for images with complex textures or intricate patterns that require more attention.
  4. On the other hand, increasing the average enhancement radius to a larger value, such as 4 or 5, expands the range of pixels affected by the sharpening algorithm. This is especially effective for overall image sharpening, making large edges and outlines appear more defined and defined.
  5. It is important to note that increasing the average gain radius too much can result in over-sharpening, resulting in unnatural artifacts or ghosting around the edges. The optimal setting depends on your specific look and personal preference. By experimenting with different values, you can achieve the desired level of sharpness for a particular photo.

So the Mid-Radius Enhance option in Google Camera’s Sharpening Level adjusts the size of the area around the edges targeted for sharpening. Decreasing the value focuses on fine details, while increasing the value focuses on larger edges. Finding the right balance is critical to avoiding over-sharpness and achieving a natural-looking result.

Gain Large Radius

The Gain Large Radius setting in the Sharpening Level section of Google Camera affects the sharpening algorithm used by the camera app. Here is a detailed description of its functionality in numbered paragraphs:

  1. Sharpening algorithms are image processing techniques used to enhance the visual perception of image detail. They work by increasing the contrast between adjacent pixels, making edges and fine details more visible.
  2. The Gain Large Radius setting in Google Camera specifically controls the sharpening effect applied to areas with larger details or edges. It adjusts the strength of the sharpening algorithm for these areas, allowing you to increase or decrease the emphasis on larger details.
  3. When set to a higher value, the Large Radius Enhancement setting increases the strength of the sharpening effect on larger details. This can make the edges of objects more pronounced, improving their visibility and making them stand out in the image.
  4. Conversely, if set to a lower value, Gain Large Radius reduces the strength of the sharpening effect on larger details. This can result in a softer look as the algorithm softens the emphasis on larger edges, making them less pronounced.
  5. The Gain Large Radius setting can be useful in a variety of photography scenarios. For example, if you shoot landscapes or architectural shots with intricate detail, increasing the value can help highlight smaller elements and make the image clearer.
  6. On the other hand, when photographing portraits or subjects where a softer accent is desired, reducing the Gain Large Radius setting can produce a smoother effect by de-emphasizing larger details, resulting in a more subtle and natural look. Impact on Photo Quality: Increasing the detail enhancement radius can help make photos appear sharper and more detailed, especially when shooting subjects with low contrast or complex textures. However, increasing this setting too much can cause effects such as smoothing and loss of fine detail, so it is important to find a balance between enhancing detail and maintaining the natural look of the photo.

Overall, the Gain Large Radius setting in Google Camera gives you control over the sharpening effect of larger details, allowing you to fine-tune the level of emphasis and visual impact they have in your photos.

COLOR (settings section)

Tuning Color Sat Params 1

  1. The parameter Tuning Color Sat Params 1 in the Color section of Google Camera refers to a parameter that affects the color saturation of images captured by the camera application.
  2. Saturation is an indicator of how bright and saturated colors appear in a photo. Increasing the saturation increases the intensity of the color, making the image brighter, and reducing it leads to more muted and unsaturated colors.
  3. The Setting Sat 1 Color Settings option allows users to adjust the color saturation settings of the camera app according to their preferences. This parameter specifically affects the overall color saturation level applied to images.
  4. By changing this parameter, users can increase or decrease the saturation of their photos, adapting the visual impact depending on their artistic or aesthetic vision. It can be especially useful to highlight certain objects or elements, making their colors brighter or creating a more subdued, pastel effect.
  5. Although the exact technical details of the parameter Setting Sat 1 color parameters may vary depending on the specific implementation in Google Camera, in fact it controls the algorithm used to process and adjust the color saturation of captured images.
  6. It is worth noting that a change in saturation may affect the overall color accuracy. Increasing the saturation too much can lead to oversaturated and unrealistic colors, and reducing it too much can cause the image to look blurry and devoid of brightness.
  7. Therefore, when setting the parameter Setting color saturation parameters 1, it is recommended to find a balance that corresponds to the desired visual style without compromising the natural appearance of the photographed object or scene. Experimenting with different settings can help users achieve the desired aesthetic result.

Tuning Color Sat Params 2

Tuning Tuning Color Sat Params 2 in the Color section of the Google Camera app is responsible for the color saturation parameters. Below is a detailed description:

  1. The setting displays several numeric values that can be changed by the user.
  2. By default, the values are in the range from -1 to 10.
  3. A value of -1 indicates the lowest possible saturation, as a result of which the colors will look faded and lifeless.
  4. A value of 10 indicates the highest possible saturation, which makes the colors bright and saturated.
  5. You can change the values between -1 and 10 to achieve the desired color saturation level.
  6. Increasing the value of a negative number will increase saturation, but may lead to oversaturation on some objects.
  7. Reducing the value of a positive number will reduce the saturation, which can make the colors dim and less expressive.
  8. Experiment with these numerical values to achieve the optimal saturation level according to your preferences and shooting scene.

Please note that the camera settings may vary depending on the version of the Google Camera app and the device model.

CG Settings (subsection of the COLOR settings menu)

CG1 (-Turquoise/Blue+)

  1. The CG1 (-Turquoise/Blue+) parameter in the Color section of Google Camera is a color correction parameter available to adjust the overall color balance and tone of your photos. Special attention is paid to turquoise and blue colors.
  2. This setting allows you to increase or decrease the intensity of turquoise and blue tones in photos, depending on your preferences. Moving the slider in the positive direction (Turquoise/Blue+), you can increase the saturation and brightness of these colors by making them more noticeable in the image.
  3. Setting CG1 (-Turquoise/Blue+) is especially useful if you want to emphasize elements such as the sky, reservoirs or objects with turquoise or blue shades in photos. Increasing the saturation can make these colors more vibrant and attractive.
  4. On the other hand, if you want to soften the turquoise and blue colors in the image, you can move the slider to the negative side (-Turquoise/Blue-). This setting can be useful when working with color shades or when you want to create a more subdued or subdued look in your photos.
  5. It is important to note that the CG1 (-Turquoise/Blue+) setting is just one of the components of the general color correction options provided by Google Camera. It works in combination with other settings such as exposure, contrast, highlights and shadows to help you achieve the desired color aesthetics in your photos.
  6. Experimenting with the CG1 setting (-Turquoise/Blue+) can give different results depending on the lighting conditions, the subject and your personal artistic preferences. It allows you to adjust the color balance and create a special visual style of your images, improving the overall impression and mood of your photos.

CG2 (Blue Correction)

  1. The CG2 (Blue Correction) setting in the Color section of Google Camera is a feature specifically designed to correct blue color tones in photos taken using the camera app.
  2. By adjusting the CG2 (Blue Correction) setting, users can enhance or decrease the intensity of the blue hues present in their images. This setting can be useful in various scenarios where the blue color may look distorted or oversaturated, for example when shooting images of the sky, bodies of water or objects with blue tones.
  3. CG2 setting automatically analyzes the blue color range of the image and applies adjustments to make it more accurate and visually pleasing. His goal is to preserve the natural balance and reproduce the colors as close as possible to how they look in reality.
  4. Increasing the CG2 (Blue Correction) value above the default value can help reduce the excessive saturation of the blue color, making the image more balanced and accurate. This setting can be useful in situations where the blue color dominates the scene or seems too bright, bringing it closer to the true image.
  5. On the other hand, reducing the CG2 value (Blue Correction) will have the opposite effect, allowing you to increase the saturation of the blue color. This setting may be desirable to enhance certain blue elements of the image, giving them a brighter and more pronounced appearance.
  6. This allows you to adjust the shades and saturation of blue in photos in order to achieve a more accurate display or create the desired effect. For example, you can enhance the blue color in the sky or reduce it to create a softer effect. However, remember that too strong corrections can lead to an unnatural appearance of photos, so experiment with the settings to achieve the best result.

CG3 (- Blue +)

  1. Color balance: Setting CG3 (- Blue+) primarily affects the color balance of the image. By reducing the blue tones, you can make the overall image warmer by giving a more yellowish or reddish hue. Conversely, by enhancing the blue tones, you can make the image colder by adding a bluish tint to it.
  2. White balance adjustment. Blue tones often dominate in certain lighting conditions, for example, when shooting outdoors under overcast skies or in the shade. In such situations, setting CG3 (- Blue +) can help to adjust the white balance, reducing the excessive blue hue and making the image more natural.
  3. Creative effects. In addition, the CG3 (- Blue+) setting can be creatively used to change the mood or visual style of a photo. By reducing the blue tones, you can give a nostalgic or vintage look, and increasing the blue tones can create a more futuristic or cold atmosphere.
  4. Improvement of the palate. Another common application of CG3 (- Blue+) tuning is to improve the appearance of the sky. By enhancing the blue tones, you can make the sky brighter and more saturated, creating a striking contrast with other elements of the scene.
  5. Personal preferences. The exact effect of the CG3 setting (- Blue+) may vary depending on the specific camera and software implementation. As a user, you can experiment with different settings to achieve the desired color balance and overall aesthetics. It is worth noting that the final result may also depend on other factors, such as lighting conditions, the subject and the sensor capabilities of your camera.

In general, the setting of CG3 (- Blue +) in the Color section of Google Camera offers a way to adjust the color balance of your images by reducing or enhancing blue tones, which allows you to adjust the white balance, create artistic effects and improve the appearance. the sky, among other possibilities.

CG5 (- Blue/Purple +)

  1. The CG5 (- Blue/Purple+) parameter in the Color section of Google Camera is a feature that allows users to adjust the color balance of their photos.
  2. This special setting is designed to solve the problem of unwanted blue or purple tones that may appear under certain lighting conditions or during night photography.
  3. When selecting the CG5 option (- Blue/Purple +), the camera software applies a correction algorithm that reduces the intensity of blue and purple shades in the image. This helps to restore more accurate and natural colors, making the photo closer to what the human eye perceives.
  4. Correction is applied globally to the entire image, that is, it affects all the elements captured in the photo. This can be especially useful when shooting scenes with artificial lighting, neon signs, or in low-light conditions, when blue and purple shades may be more predominant.
  5. It is important to note that the effectiveness of CG5 (- Blue/Purple+) settings may vary depending on specific lighting conditions, camera sensor and other factors.

Users may have to experiment with different settings to achieve the desired result.

CG6 (- Green/Purple +)

The CG6 parameter (- Green/Purple +) in the Color section of the Google camera is responsible for adjusting the color balance or correcting problems with the green and purple border that may appear on certain photos. Here is a detailed description in numbered paragraphs:

  1. Adjusting the color balance. The CG6 setup is primarily aimed at correcting any color imbalance caused by the sensor or camera lens. This helps to neutralize the green and purple edging that can occur in images, especially in high-contrast areas or when shooting objects on a bright background.
  2. Green Border Reduction: If this feature is enabled, the CG6 setting reduces or minimizes the presence of green border in photos. Green edging is a common occurrence when certain lenses or sensors cannot precisely align colors, which leads to the formation of a green contour or fringe around objects or edges.
  3. Elimination of purple edging. Similarly, the CG6 setting also allows you to minimize the purple edging. Purple edging can occur when the chromatic aberration of the camera lens causes purple halos or contours around the edges of objects, especially in high-contrast scenes.
  4. Balancing the color accuracy. By adjusting the color balance and reducing the green and purple edging, the CG6 setting helps to improve the overall color accuracy and quality of the resulting images. Its purpose is to provide a more natural and visually pleasing representation of colors in the final photo.
  5. Ideal use cases. The CG6 setting is especially useful in situations where green or purple edging is noticeable, for example, when taking photos with objects illuminated from behind, scenes with bright light sources, or landscapes with complex details. Enabling this option can help improve image quality and reduce distracting color artifacts.

CG9 (- Yellow/Green +)

The CG9 (- Yellow/Green +) option in the Color section of Google Camera is for adjusting the color temperature and color balance of the captured image. Here is a description of its functionality in numbered paragraphs:

  1. Color Temperature Adjustment: The CG9 setting allows you to change the color temperature of the image. Color temperature is the warmth or coolness of the colors in a photograph. By moving the CG9 slider toward yellow (-Yellow), you can warm up the image, giving it a yellowish or orange tint. Moving the slider towards green (+Green) will make the image cooler, adding a bluish or greenish tint.
  2. White balance correction. The purpose of the CG9’s settings is also to correct the white balance of your photos. White balance ensures that white colors appear neutral and are not affected by any color casts. By adjusting the CG9’s slider, you can fine-tune the white balance of your image, compensating for any color distortion caused by lighting conditions during shooting.
  3. Improved skin tone. The -Yellow/Green+ setting can be especially useful for portrait photography. By slightly increasing the yellow component, you can add a warm tone to skin tones, making them more flattering and natural. Conversely, increasing the green component can reduce any reddish or purple undertones, creating a more neutral skin tone.
  4. Creative effects. Additionally, the CG9 setting can be used creatively to give your photos a special look or mood. Increasing the yellow component can create a nostalgic or vintage feel, while increasing the green component can create a cooler, more modern look. The amount of adjustment needed will depend on personal preference and the desired effect.
  5. Fine tuning and experimentation. It’s worth noting that the impact of the CG9 (-Yellow/Green+) setting may vary depending on lighting conditions and the overall color composition of the scene. It is recommended that you experiment with different slider positions to find the desired color balance and temperature that best suits your image and artistic intent.

So the CG9 (- Yellow/Green +) setting in the Color section of Google Camera allows you to adjust the color temperature, white balance, and overall color balance of your photos. It offers control over the warmth or coolness of colors, allowing you to enhance skin tones, adjust white balance and achieve a variety of creative effects.

CG10 (- Purple / Blue +)

  1. The CG10 (- Purple/ Blue+) parameter in the Color section of Google Camera is a color correction parameter specifically designed for purple and blue shades in your photos. This helps to increase or decrease the intensity of these colors, depending on your preferences.
  2. CG10 refers to a specific color correction algorithm used to adjust purple and blue tones. This is an abbreviated term for this particular parameter in the Google Camera app.
  3. The – sign before Purple/Blue means that the setting allows you to reduce the saturation or intensity of purple and blue colors in photos. This can be useful if you want to soften these shades if they seem too bright or overwhelming in your image.
  4. On the other hand, the + sign means that this setting also allows you to increase the saturation or intensity of purple and blue colors if you want to make them more noticeable. This can be useful if you want to enhance the presence of these colors to create a special visual effect on photos.
  5. In general, the CG10 setting (- Purple/Blue+) allows you to control the appearance of purple and blue colors in your photos. You can adjust the saturation of these shades to achieve the desired balance and effect of your images, whether you want to reduce their intensity or make them brighter.

CF Settings (subsection of the COLOR settings menu)

CF-1 (Green -/+)

  1. Color Balance: CF-1 is a color balance adjustment tool that allows users to change the color temperature of an image. First of all, this affects the overall warmth or coolness of the colors in the photo.
  2. Green hue: The Green -/+ option indicates that the green hue of the image can be adjusted. The minus sign (-) indicates a decrease in the green hue, which makes the image less greenish. Conversely, the plus sign (+) indicates an increase in the green hue, as a result of which the image becomes more greenish.
  3. Correction of the greenish hue. By reducing the green hue using the CF-1 setting, you can correct images that appear too green. This setting can be useful if an undesirable greenish tint occurs due to lighting conditions or problems with white balance.
  4. Amplification of green tones. On the other hand, increasing the green hue using the CF-1 setting can enhance the green tones of the image. This setting can be useful when shooting natural scenes or landscapes with lush greenery, as it can make the greenery more vivid and attractive.
  5. Fine-tune the color balance: CF-1 complements the other color settings available in Google Camera. By adjusting the green hue, you can fine-tune the color balance of the images, ensuring that they match the desired artistic intent or accurately convey the scene you photographed.
  6. Personal preferences. The ideal CF-1 setup ultimately depends on personal preferences and the specific image being shot. By experimenting with different green shade settings, you will be able to achieve the desired appearance of your photos.

CF-2 (Red -/+)

The CF-2 (Red -/+) parameter in the Color section of Google Camera adjusts the color balance of the image by controlling the intensity of the red color channel. Here is a detailed description of its functionality:

  1. Color Balance adjustment: The CF-2 setting specifically changes the red color channel of the image. It allows you to either increase (+) or decrease (-) the intensity of red tones, thus affecting the overall color balance. This setting is especially useful when you want to adjust the warmth or coolness of the image.
  2. Reducing the intensity of red (-): Moving the CF-2 slider to the negative (-) side reduces the intensity of red tones in the image. This setting can be useful if you want to achieve a cooler or bluish look. This can help neutralize excessive warmth or redness of the image, making it more balanced.
  3. Increase the intensity of red (+). Conversely, moving the CF-2 slider to the positive (+) side increases the intensity of red tones. This setting can be useful to give the image a warmer or reddish hue. It can add brightness to red objects or scenes and make the overall color palette more vibrant and lively.
  4. Fine-tune the color balance. The CF-2 setting works together with other color settings in the Google Camera app. By adjusting the red color channel, you can fine-tune the color balance to suit your artistic preferences or to compensate for specific lighting conditions. It gives you more control over the overall color rendering, allowing you to achieve the desired appearance of your photos.

Thus, the CF-2 (Red -/+) setting in the Color section of Google Camera allows you to adjust the intensity of red tones in the image. By reducing or increasing the red channel, you can achieve a cooler or warmer look, respectively, helping you fine-tune the color balance and create the desired visual effect on your photos.

CF-3 (- Blue/Yellow +)

The CF-3 (- Blue/Yellow+) option in the Google Camera Color menu is designed to adjust the balance between blue and yellow tones in your photos. Here is a detailed description of its functionality:

  1. Color Balance: The CF-3 setting allows you to fine-tune the color balance of images. When you move the slider to the left (- Blue), the intensity of the blue tones in the photo decreases. This can be useful if your image looks too cold or bluish. On the other hand, moving the slider to the right (+ Yellow) increases the yellow tones, which can help balance an image that seems too cold or devoid of heat.
  2. White balance adjustment. The CF-3 setting essentially acts as a manual white balance adjustment tool. By changing the balance of blue and yellow, you can adjust the color shades and ensure that the white color in your photo will look neutral and accurate. Setting this parameter can be especially useful in situations where the camera’s automatic white balance cannot correctly determine the desired color temperature.
  3. Artistic effect. In addition to technical use, the CF-3 setting can also be used creatively to achieve artistic effects. By deliberately shifting the color balance towards blue or yellow, you can create a special mood or atmosphere in your photos. An increase in blue tones can create a cooler and darker feeling, while an increase in yellow tones can cause warmth and brightness.
  4. Customization and personalization. Google Camera’s color settings, including CF-3, are designed to give users control over the appearance of their photos. By allowing the balance of blue and yellow to be adjusted, photographers can adapt the appearance of their images according to their preferences and desired aesthetics. This level of customization expands creative possibilities and allows you to create a more personalized photographic style.

CF-5 (- Green/Red-Orange +)

The CF-5 (- Green/Red-Orange+) parameter in the Color section of Google Camera is a color filter that can be applied to photos. Here is a detailed description of its effects:

  1. CF-5 stands for Color Filter 5, which means that this is the fifth filter option available in the Color section of Google Camera. This filter changes the colors of the image to create a certain mood or effect.
  2. The – Green part of CF-5 implies that the filter reduces the intensity of green tones in the photo. Because of this, the image may look less bright due to green foliage or grassy areas.
  3. The CF-5 Red-Orange+ aspect suggests that the filter enhances the red and orange tones in the image. This can lead to warmer and richer shades in areas where these colors are present.
  4. In general, CF-5 tends to create a special look, reducing the selection of green and enhancing the richness of red and orange tones. This can be especially useful for landscapes or scenes where you want to emphasize warm colors and create a special atmosphere.
  5. It is important to note that the exact visual impact of CF-5 may vary depending on the specific image and lighting conditions. It is recommended to experiment with different filters to find one that matches the desired aesthetic for each specific photo.

Thus, CF-5 is a color filter in Google Camera that reduces green tones and enhances red and orange shades. It can be used to create a warm, atmospheric look in photographs, especially in landscape photography.

CF-6 (- Orange-Red/Green-Blue +)

The CF-6 (- Orange-Red/Green-Blue +) setting in the Color section of Google Camera is responsible for correcting the color gamut and color saturation in photos. Below is a description of the settings by numbered items:

  1. Orange-Red (-): This setting controls the balance between orange and red tones in the photo. Decreasing the value to the left reduces the saturation of orange and red colors, and turning the control to the right increases the saturation of these colors.
  2. Green-Blue (+): This setting is responsible for the balance between green and blue colors in the photo. Increasing the value to the right increases the saturation of these colors, and decreasing the value to the left reduces the saturation of green and blue.

Please note that the values of these settings can be positive or negative. A negative value is indicated by a minus sign, and a positive value is indicated by a plus sign. This reflects which way the color saturation will change when the controls are rotated.

Vignette Settings (subsection of the Color settings menu)

Vignette Trigger

The Vignette Trigger setting in the Vignette Settings section of Google Camera is responsible for the intensity of the vignette effect on the photo.

Vignette Control

It is probably an analogue of the previous setting, but both of them in the original GCAM mod are responsible for how the vignette will turn on and how it will look.

Exposure (patch settings section)

The Exposure (MAX HDR Ratio) setting in the Exposure section of Google Camera is responsible for the exposure and contrast levels in photos, especially when using the HDR (High Dynamic Range) function. Below is a detailed description of the numbered items:

  1. 11.5 (Default): If this option is selected, Google Camera will automatically adjust the exposure level depending on the lighting conditions and dynamic range of the scene. This may include using HDR technology to get maximum detail and preserve details in both bright and dark areas of the photo.
  2. 15.0: When this option is selected, Google Camera increases the exposure and contrast of images to make them brighter and more saturated. This can be useful if you want your photos to look more dynamic and attractive.
  3. 0.125: If this setting is selected, Google Camera reduces exposure and contrast to get a darker and more pastel palette in the photo. This can be useful if you prefer a deeper and more immersive atmosphere in your shots.
  4. By default (From the library) : If this option is selected, Google Camera disables the HDR function and does not apply any additional exposure settings. In this mode, images may come out darker in bright areas and lighter in dark areas, since the camera will not compensate for the dynamic range of the scene.

Setting the Exposure (MAX HDR Ratio) gives you the ability to control the exposure level and get the desired degree of contrast in your photos, depending on aesthetic preferences and features of the scene.

Exposure (depending)

The Exposure (depending) setting in the Exposure section in Google Camera is responsible for manually controlling the exposure level in photos. The Exposure (depending) setting allows you to choose how the exposure on your photos will be adjusted. This gives you more control over the final exposure settings and helps you achieve the desired visual effect. The Exposure setting (depends on the version of Google Camera) in Google Camera is responsible for adjusting the brightness of the photo.

Darken Light (ISO limiting)

The Darken Light (ISO limiting) setting in Google Camera is responsible for limiting the ISO level when photographing in low light conditions. Below is a description of the numbered items:

  1. Exposure Control: Exposure determines how light or dark your photos will be. When the Darken Light setting is enabled, it limits the ISO level to prevent over-brightening of images in low-light conditions.
  2. Noise limitation: When the ISO level is high, there is more noise in the photos. Noise is an unwanted smudge or graininess that can negatively affect image quality. Limiting the ISO level can help reduce noise and improve the clarity of images in dark conditions.
  3. Balance between Brightness and Detail: Limiting the ISO level also helps to adjust the balance between overall brightness and preserving details in photos. If the ISO is too high, the images may be too bright, but a lot of details will be lost. Limiting the ISO will help maintain a balance between brightness and detail to get optimal image quality.
  4. Exposure control without flash: The ISO limit allows you to take photos in low light conditions without the need to use a flash. Instead of raising the ISO high and getting excessive brightness in the pictures, the camera will automatically set the mode with a lower ISO and preserve the naturalness of the scene lighting.
  5. Dynamic Range Preservation: Limiting the ISO level also helps to preserve the dynamic range of photos. Dynamic range refers to the difference between the darkest and lightest elements in a frame. At a high ISO level, the dynamic range may narrow, which can lead to loss of detail in dark and bright areas of the image. The ISO limit will help preserve the details and richness of colors in photos.

Setting up Darken Light (ISO limiting) in Google Camera provides a convenient way to control the ISO level and get high-quality photos even in low-light conditions.

Expo-correction

The Expo-correction setting in the Google Camera is responsible for adjusting the exposure of the photo. Exposure determines how bright or dark the image will be, depending on the amount of light hitting the camera sensor. With the Expo-correction setting, you can control the brightness of photos to get the desired effect.

ISO/Exposure Tuning

The ISO/Exposure Tuning setting in Google Camera is responsible for controlling exposure and lighting when taking photos. It allows the user to adjust the exposure more precisely to get the best image quality in different lighting conditions.

  1. ISO: ISO is a measure of the photosensitivity of a lens. The higher the ISO value, the more light hits the camera matrix, which can be useful in low-light conditions. However, a higher ISO can also cause noise to appear in the image. In Google Camera, you can change the ISO value from the lowest (usually 100 or 200) to the highest (usually 3200 or 6400).
  2. Exposure: This setting determines the amount of light falling on the camera matrix. You can increase or decrease the exposure depending on the lighting conditions to get the correct image brightness. Increasing exposure causes the camera to capture more light, which brightens the image, while decreasing exposure makes the image darker.

Expo-Compensation

The Expo-Compensation setting in Google Camera (GCAM) is responsible for adjusting the exposure of photos or videos. Exposure determines how light the lighting of the scene in the image will be.

When the exposure is too high, the image may become overexposed, with overexposure, which means loss of detail and brightness in light areas. On the contrary, if the exposure is too low, the image may have shadows and underexposed areas.

The Expo-Compensation setting allows you to increase or decrease the exposure, depending on the lighting conditions and user preferences. A positive exposure value (e.g. +1) increases the brightness, while a negative exposure value (e.g. -1) decreases the brightness of the scene.

The main goal of Expo-Compensation in GCAM is to achieve the best balance between brightness and detail in a photo or video. The setting can be especially useful in mixed lighting conditions, when both bright and dark areas are present in the frame.

For example, if you are shooting a sunset, increasing the exposure can make it brighter and more colorful, while preserving the details in the clouds and their shades. On the other hand, when shooting sunflowers against a bright sky background, lowering the exposure will help to keep the details in the colors of the flowers and avoid overexposure.

The Expo-Compensation setup is available in GCAM and is one of the many tools that allow users to manage the photo parameters in detail. This tool makes it possible to get the most accurate and desired image corresponding to the preferences and lighting of the scene. Exposure compensation is especially useful in high-contrast situations where automatic exposure may underestimate or overestimate the brightness of the scene, such as shooting in backlit conditions or contrasting landscapes. This setting allows you to easily adjust the brightness and get more balanced photos.

Exposure Darker

The Exposure Darker setting in Google Camera (GCAM) is responsible for controlling the exposure or lighting of the scene in photos.

This setting is based on the principle of automatic exposure adjustment, which is used in many cameras. Basically, when you take a photo, the camera analyzes the brightness level in the scene and automatically determines which exposure to use. Depending on the lighting conditions, the camera may take a photo with a suitable exposure or too bright/dark.

The Exposure Darker setting in GCAM allows you to manually set a darker exposure. If you think that photos taken at normal exposure are too bright or overexposed, you can use this setting to make the image darker. This can be useful in conditions of bright sunlight or when photographing objects with bright illumination.

However, you should be careful when using this setting, because photos that are too dark may lose details and not look clear enough. Therefore, it is recommended to experiment with this setting in different lighting conditions and check the results to find the optimal exposure balance.

To use the Exposure Darker setting in GCAM, open the camera app and find the settings menu. In the settings menu, you should find a tab or item related to exposure. Inside this tab you should see the option Exposure Darker. When this option is enabled, photos will be taken with a darker exposure.

This setting in GCAM can be useful for those who want more control over the exposure of their photos and prefer to adjust the brightness themselves instead of relying on the automatic adjustment provided by the camera.

Exposure Darker 2

Setting Exposure Darker 2 in Google Camera is responsible for controlling the brightness of the image in low light conditions or dark scenes. When the function is enabled and applied to a picture, it automatically reduces the exposure, making the image darker.

This can be useful, for example, in situations where the background is too bright or the lighting is uneven, and if several areas of the image are over-illuminated or fade in the light. With Exposure Darker 2, you can save a wider dynamic range so that the details in the bright areas of the image are not lost.

This setting is one of the functions of the advanced exposure control in Google Camera (GCAM). It allows the user to control the brightness of the image without affecting other parameters, such as white balance settings or contrast.

However, it should be noted that using the Exposure Darker 2 setting may result in a darker and less illuminated image overall. Therefore, it is recommended to experiment with this setting and adjust it depending on the specific shooting conditions and the desired effect.

The main advantage of GCAM and similar functions is that they use sophisticated image processing algorithms and artificial intelligence to optimize the quality of images and create effects that were previously available only on professional cameras with large sensors.

In general, the Exposure Darker 2 function gives the user more control over brightness in dark scenes and makes it possible to save more details in the image when shooting under poor lighting conditions. It helps to achieve a better balance between the light and dark areas of the photo, which in turn can improve the quality of the picture.

SABRE (section of the patch settings menu)

Merge Method Override

The Merge Method Override setting is intended to determine the merge method that will be used by the Google Camera image merging algorithm (GCAM). GCAM uses image fusion to create high-quality photographs with increased dynamic range and improved detail.

The Merge method is responsible for combining several photographs taken with different exposures or other parameters into one high-quality image.
Google Camera offers several merge options:

  1. Wiener Filter: Wiener Filter is a method for reducing noise in images. It uses a mathematical approach to reconstruct the original image from a noisy image. Google Camera uses the Wiener Filter to remove noise from images and improve their quality. This method is based on calculating statistical noise parameters and applying the optimal Wiener filter.
  2. Sabre: Sabre is a dynamic range processing technique that is used to produce more detailed images with a wide range of brightness. It allows you to retain more information about shadows and highlights, resulting in a more natural and rich image. Google Camera uses Sabre to improve dynamic range and reduce loss of detail in bright and dark areas.
  3. Spatial Bayer: Spatial Bayer is a technique that is used to demosaicize image sensor data obtained using a Bayer matrix. The Bayer matrix consists of alternating pixels of red, green and blue. Spatial Bayer in Google Camera is used to restore full-color images from these mosaics, improving the resolution and quality of the images.
  4. Spatial RGB: Spatial RGB is a technique aimed at increasing image clarity and detail. It uses spatial decomposition to enhance visual perception and preserve textural detail. This method in Google Camera produces sharper, more detailed images by increasing resolution and eliminating loss of detail during processing.

In general, each of these methods in Google Camera has its own goals and is used to improve the quality of images. Wiener Filter is for noise reduction, Sabre is for improving dynamic range, Spatial Bayer is for correct color representation, and Spatial RGB is for increasing overall image clarity and detail.

Sabre 1, Sabre 2 (Merge 1 don’t work), Sabre 3

Sabre in GCAM settings (Google Camera) refers to a technology developed by Google to improve the quality of smartphone photos. Sabre is an algorithm that is used to increase the detail and clarity of images.Sabre works by analyzing several frames taken in HDR+ (High Dynamic Range Plus) mode and combines them to create one more detailed and clear image. It also helps to reduce noise and increase contrast, which leads to better photos.Sabre settings in GCAM allow the user to control this technology by adjusting its parameters according to preferences. Some of these parameters may include the level of detail magnification or the level of noise reduction. The user can adjust these parameters to achieve optimal photo quality according to the shooting conditions and their preferences.

Three settings points: Sabre 1, Sabre 2 (Merge 1 don’t work), Sabre 3 regulate the selected method of merging Sabre.

Sabre by RAW to YUV

Sabre by RAW to YUV is an image processing method used in Google Camera to improve image quality when taking photos in RAW format.

RAW is an uncompressed image format that stores all the data received by the camera sensor without any processing. Also, RAW photos retain a wider range of brightness and color information, which allows the user to perform deeper and more accurate processing of the photo.

In Google Camera, when using the RAW format, Sabre by RAW to YUV is used as a preprocessing step before using other image processing methods such as Wiener Filter, Spatial Bayer and Spatial RGB. It converts uncompressed data from RAW format to YUV format, which is a standard color spatial format and is widely used in digital image processing.

In this process, Sabre analyzes and uses image sensor data to improve image quality. It performs color perception correction, improves sharpness and detail, and increases dynamic range. After converting to YUV format, the resulting image can be further processed by other methods such as Wiener Filter, Spatial Bayer and Spatial RGB to achieve the desired effect and improve the quality of the final image.

Coeff. Sabre Tuning Noise

Coeff. Sabre Tuning Noise is a parameter that is used in the Google Camera image processing algorithm, known as Sabre, to control the noise level in photos. Noise is random variations in brightness or color that can occur in images, especially under poor lighting conditions or when using high ISO. The goal of Coeff. Sabre Tuning Noise is to minimize and mitigate this noise to produce cleaner and higher quality images.

The Coeff parameter. Sabre Tuning Noise allows the user to set the noise reduction level to be applied during image processing. More specifically, this parameter controls the power of noise suppression in the Sabre process. The value of Coeff. Sabre Tuning Noise can be configured by the user using the Google Camera settings, depending on his preferences and requirements.
Higher Coeff value. Sabre Tuning Noise means stronger noise reduction in image processing. This can be useful if you have photos with a high noise level or if you need to get a cleaner image. However, it should be remembered that too much noise suppression can lead to loss of detail or smoothing of the image.

On the contrary, a lower Coeff value. Sabre Tuning Noise means weaker noise reduction. This can be useful if you want to keep more textures even in the background of some noise. Again, it’s important to find a balance between reducing noise and preserving detail when setting up Coeff. Sabre Tuning Noise.

In general, Coeff. Sabre Tuning Noise in Google Camera provides the user with the ability to control the level of noise reduction in image processing to achieve the best results according to individual preferences and shooting conditions.

Sabre Burst Merge 1

Sabre Burst Merge 1 is one of the merge methods used in Google Camera to process images in Burst format. Burst format is designed for shooting a series of photos with a short time interval to capture moments with fast-moving objects or create the effect of a live image.

Sabre Burst Merge 1 is used to combine and process multiple images from the Burst series and create a high-quality final image. This method uses special algorithms and techniques to align and merge images to get the best possible image.

The main advantage of Sabre Burst Merge 1 is the ability to improve the dynamic range, detail and image quality, especially under difficult lighting conditions or when moving objects. It is also able to eliminate blurring caused by the movement of the camera or objects during shooting.

In the process, Sabre Burst Merge 1 merges and aligns several images to get better information about the dynamic range and details in each pixel. Then additional image processing algorithms such as Sabre are applied to improve color accuracy, sharpness and contrast.

Sabre Burst Merge 2

Sabre Burst Merge 2 is an image processing technology that is used in the Google Camera (GCAM) application. It allows you to take high-quality photos in low-light conditions or when the subject or camera is moving.

The main task of Sabre Burst Merge 2 is to combine several frames taken in continuous shooting mode (burst mode) and create one optimal image. This is achieved by using an algorithm that analyzes each frame in the set and selects the clearest and brightest areas from each image.

When a user takes a series of pictures in continuous shooting mode, Sabre Burst Merge 2 analyzes each image, taking into account focus, lighting, colors and brightness. Then the algorithm combines the sharpest areas and adjusts them to the same exposure to get the best detail and dynamic range.

This algorithm also takes into account the movement of objects or the camera during continuous shooting. It is able to detect movement and make adjustments to avoid blurring and maintain image clarity.

Sabre Burst Merge 2 also has the ability to increase the color depth of images and expand the dynamic range. This is achieved by analyzing the color spectrum of each image and combining the brightest and most saturated pixels to create more saturated and detailed colors.

Sabre Burst Merge 3

Sabre Burst Merge 3 is one of the image processing algorithms used in the Google Camera (GCAM) application. It is designed to merge a series of images taken simultaneously in order to improve the quality and dynamic range of the photo.

When the user selects Burst Shot mode in GCAM and takes a series of shots, Sabre Burst Merge 3 takes effect. The algorithm analyzes each image using complex processing and then merges all the images into one image.

The main feature of Sabre Burst Merge 3 is its ability to combine and combine different exposures, which allows you to get a high dynamic range. This is achieved by automatically overlaying and aligning each shot in the series. The algorithm takes into account the brightness, contrast, colors and details in each image to create a better photo with better exposure and dynamic range.
Sabre Burst Merge 3 also applies many sophisticated processing techniques, such as noise reduction, sharpening, color enhancement, to get the best result. The algorithm carefully processes each pixel and takes into account its surroundings in order to maximize the details and image quality.

Using Sabre Burst Merge 3 allows you to get more lively and more accurate photos when shooting in Burst Shot mode. It helps to preserve more details in the dark and light areas of the image, and also improves the overall depth and realism of colors.

This algorithm is one of the many innovations that make Google Camera a leader in mobile photography. It allows users to get professional-looking pictures using their smartphones.

Smoothing The Sabre

Smoothing The Sabre, also known as Sabre Denoise, is one of the noise reduction algorithms used in the Google Camera (GCAM) application. This algorithm is designed to reduce the noise level in photos taken on mobile devices.

When we take photos in low light conditions or using high ISO values, there is usually a noise level. This affects the image quality and can lead to blurring of details and loss of sharpness. To cope with this problem, Google has developed the Smoothing The Sabre algorithm, which reduces the noise level in the images.

The Smoothing The Sabre algorithm is based on image analysis using multiple photos taken from different exposures or using Smart Burst. The algorithm works by calculating the difference between two or more photos and finding the most common pixel in these differences. This allows you to reduce noise and increase contrast, while maintaining the details and naturalness of the image.

One of the main advantages of The Smoothing The Sabre algorithm is its ability to reduce noise without losing details. It provides a balance between reducing noise and preserving textures and fine details in the photo. This makes it very useful for shooting in low light or in other conditions where there is a significant noise level.

In addition, the Smoothing The Sabre algorithm is built into GCAM, which allows Google Camera users to get high-quality photos using the application without the need to use third-party tools or postprocessing. It provides ease of use, which makes it accessible to a wide range of users.

In conclusion, the Smoothing The Sabre algorithm in Google Camera is a powerful tool for reducing noise in photos, with the ability to preserve details and texture. This allows users to get high-quality images even in low light or when using high ISO values, without resorting to complex processing methods.

Noise Reduction Sabre

Noise Reduction Sabre, also known as Sabre Smooth, is an image processing technology that is used to reduce the noise level in photographs. Noise is random artifacts that can appear in images, especially in low light conditions or when using high ISO sensitivity. They can lead to loss of detail and deterioration of the quality of the photo.

Sabre Smooth uses image processing algorithms to analyze and eliminate noise in a photo. It allows you to preserve the details and clarity of the image, reducing noise in the background and other areas where it can be noticeable. This helps to achieve a cleaner and more professional look of photos.

The Noise Reduction Sabre setup usually offers several levels of noise smoothing that can be selected in the Google Camera app. The choice of a specific level depends on the user’s preferences and shooting conditions.

It is important to note that too much noise smoothing can lead to the loss of some details, so it is recommended to find a balance between reducing noise and preserving the desired details in the photo.

The general recommendation is to experiment with this function to find the optimal level of noise smoothing depending on the specific scene and your preferences in photo processing.

Sabre Denoise Control

Sabre Denoise Control, also known as Sabre Noise Artifacts, is an image processing technology that is used to eliminate noise artifacts in photographs. Noise artifacts can occur as a result of noise reduction processing and can manifest as various anomalies, such as spots, blurring or distortion.

Sabre Denoise Control analyzes the photo and tries to identify and eliminate these noise artifacts while preserving the details and image quality. It uses sophisticated image processing algorithms to improve the clarity and visual appeal of photos.

Setting up Sabre Denoise Control usually offers the user the ability to control the level of processing and elimination of noise artifacts. This allows the user to adjust the function according to the shooting preferences and requirements.

However, it is important to understand that too intensive processing can lead to the loss of some details or the creation of an artificial look in the photos. Therefore, it is recommended to find a balance between eliminating noise artifacts and preserving the desired details and naturalness of the image.

The general recommendation is to experiment with this function to find the optimal level of processing noise artifacts depending on the specific scene and your preferences in photo processing.

Better Color Wiener Sabre

Better Color Wiener Sabre is an image processing technology used in Google Camera to improve color reproduction and achieve more accurate and natural colors in photos.

It is based on the Wiener deconvolution method, which eliminates various distortions associated with color transmission and lighting, and improves the accuracy and saturation of colors in the photo. Better Color Wiener Sabre uses sophisticated image processing algorithms to analyze and correct color artifacts, such as incorrect white balancing, lack of saturation, or incorrect hue transfer.

The Better Color Wiener Sabre setting usually allows the user to control the level of processing and exposure to colors in a photo. This allows the user to adjust the function according to the preferences and requirements of the shooting.

The goal of Better Color Wiener Sabre is to achieve more accurate and natural color reproduction in photos so that they look as realistic and attractive as possible.

However, it is worth noting that each photo and scene has its own characteristics, and sometimes some settings can lead to undesirable effects or loss of details. Therefore, it is recommended to experiment with this function and find the optimal balance between the desired visual effect and the naturalness of colors in each specific situation.

In general, Better Color Wiener Sabre improves color rendering and provides more expressive and attractive colors in photos in Google Camera.

Savannah Merge 2 Chroma Denoise

Savannah Merge 2 Chroma Denoise is an image processing technology used in Google Camera to eliminate noise artifacts and improve the quality of color information in photos.

Chroma Denoise is a processing process aimed at eliminating color artifacts of noise, which can manifest as small spots or distortions in photographs. Savannah Merge 2 Chroma Denoise uses sophisticated image processing algorithms to analyze and eliminate these noise artifacts, especially in the area of color shades.

Savannah Merge 2 Chroma Denoise works by merging multiple frames to produce the cleanest and most accurate color data. It analyzes color information from different frames and combines them to get more accurate and natural colors in the photo.

The Savannah Merge 2 Chroma Denoise setup usually offers the user the ability to control the level of processing and elimination of color noise artifacts. This allows the user to adjust the function according to the shooting preferences and requirements.

The goal of Savannah Merge 2 Chroma Denoise is to achieve cleaner and more accurate colors in photos, minimizing noise artifacts and improving visual quality.

It is important to note that intensive use of this function can lead to the loss of some details or the creation of an artificial look in the photos. Therefore, it is recommended to find a balance between eliminating noise artifacts and preserving the desired details and naturalness of colors in each specific situation.

Overall, Savannah Merge 2 Chroma Denoise improves the quality of color information and provides cleaner and more accurate colors in photos in Google Camera.

Processing (section of the patch settings menu)

Fix Noise Sabre

Version 1

Fix Noise Sabre is a feature used in Google Camera to remove noise from photos and improve their quality.

Noise is random artifacts that can appear in images, especially in low light conditions or when using a high ISO sensitivity. Noise can cause loss of detail and poor photo quality.

Fix Noise Sabre uses image processing algorithms to analyze and remove noise from photos. It preserves image detail and clarity while reducing noise in the background and other areas where it might be noticeable. This helps achieve cleaner and more professional looking photos.

Fix Noise Sabre setting usually offers several levels of noise smoothing that can be selected in the Google Camera app. The specific level selected depends on user preference and shooting conditions.

It’s important to note that too much noise smoothing can result in the loss of some detail, so it’s a good idea to find a balance between reducing noise and maintaining the desired detail in your photo.

The general recommendation is to experiment with this feature to find the optimal level of noise smoothing depending on the specific scene and your preferences in photo processing.
Fix Noise Sabre helps improve photo quality and eliminate noise, resulting in cleaner, more professional images in Google Camera.

Version 2

Fix Noise Sabre  in Google Camera (GCAM) is a noise processing feature that is used to improve image quality, especially when shooting in low light conditions.

When the location or subject being photographed is poorly lit, the camera may pick up some noise or grain in the photo. This may happen due to camera sensor limitations, lack of natural light, or other factors. Noise can affect the clarity and detail of an image, making it appear less quality.

Fix Noise Sabre in GCAM is designed to minimize this noise and improve image quality. This feature uses image processing algorithms that analyze and remove noise while preserving the detail and sharpness of the photo.

GCAM’s Fix Noise Sabre algorithm works by comparing the pixels around each pixel in a photo and determining whether it is noise or detail. It then applies a filter that removes noise while preserving details such as object outlines and textures. The noise processing process can be customized, allowing users to choose the optimal balance between removing noise and preserving image detail.

Fix Noise Sabre in GCAM allows you to get cleaner, better photos even in low light conditions. However, it is worth remembering that using this feature too intensively can lead to loss of detail or the creation of artifacts in your photos. Therefore, it is recommended to experiment and adjust the settings of Fix Noise Sabre depending on the specific situation and user preferences.

Noise Processing

In Google Camera (GCAM) cameras, the term Noise Processing refers to the process of processing noise in a photo in order to improve image quality. Noise can occur in photos when shooting in low light conditions or when using high ISO sensitivities.

Noise Processing in GCAM includes several algorithms and methods that help reduce noise and preserve details in the photo. The noise processing process may vary depending on the phone model and GCAM version, but the general principles remain similar.

One of the main methods of Noise Processing is the use of smoothing and filtering algorithms that allow you to remove noise without impairing the detail and contrast of the image. These algorithms analyze each pixel in a photo and decide whether it is noise or detail. Then they apply filters to eliminate noise, taking into account the surrounding pixels to preserve the details and textures of objects.

Another method used in Noise Processing is the use of noise compression algorithms. These algorithms compress the noise in the photo, reducing their intensity without significant loss of detail. Thus, the noise becomes less noticeable, which improves the quality of the photo.

Noise Processing in GCAM can also include various optimizations that take into account the type of shooting and light conditions. For example, when taking portrait photos, Noise Processing algorithms can be configured to process background noise more efficiently while preserving facial details and textures.

In general, Noise Processing in GCAM is an important feature that helps to improve the quality of photos, especially in low light conditions and high ISO sensitivity. It helps to reduce noise and preserve details, making photos clearer and of higher quality.

Fix Shasta Merge

Shasta Merge is the name for optimizing and improving the quality of photos in Google Camera. It includes various changes and improvements to make the images clearer, more detailed and natural.

Fix Shasta Merge is an update or fix of Shasta Merge in Google Camera. It can add additional improvements or fix issues related to the previous implementation of Shasta Merge.
Typical Fix Shasta Merge updates in Google Camera may include:

  1. Image Quality Improvement: Fix Shasta Merge may include image processing techniques that help improve colors, contrast, sharpness and other aspects of photos. They can make images more realistic and attractive to the viewer.
  2. Optimization of HDR Processing: The HDR (High Dynamic Range) function is used to create more balanced photos with a high dynamic range. Fix Shasta Merge may include improved HDR processing to achieve more accurate and natural reproduction of tones and shades.
  3. Correction of errors and problems: Sometimes errors or problems may appear when introducing new features. Fix Shasta Merge can be released to fix such issues and provide a more stable and reliable user experience.

In general, Fix Shasta Merge is an update or fix designed to improve the quality of photos in Google Camera. As a GCAM developer, the task is to constantly update and optimize the application so that users can get the highest quality images using Google Camera.

Volume Processing 1

Volume Processing in Google Camera refers to the level of image processing that is applied when shooting using the application. It allows the user to control the level of processing to get the desired effect on photos.

Google Camera has several different processing settings that allow the user to adjust the degree of processing for each image. The application recognizes the unique features of the scene and applies the appropriate processing to achieve the best image quality.

Volume Processing in Google Camera allows the user to control the degree of processing using the volume buttons on the device. For example, increasing the processing level can increase the contrast and saturation of the image, which will lead to bright and saturated colors. Reducing the level of processing, on the contrary, can create a more natural and soft effect, while preserving the details and textures in the photos.

Thus, Volume Processing in Google Camera allows the user to adjust the processing level depending on their personal preferences and requirements for the final result of shooting. This gives you more flexibility and control over creating photos using the Google Camera app.

Hot Pixel Suppressing

Hot Pixel Suppressing in Google Camera is a feature that is designed to automatically detect and remove hot pixels in photos taken using the app. Hot pixels are pixels that have abnormal color or brightness values and are different from the rest of the pixels in the image.

Hot Pixel Suppressing is based on a computer vision algorithm that analyzes every pixel in a photo to identify hot pixels. It compares the color and brightness of each pixel to surrounding pixels and determines whether it differs from the average of the surrounding area. If a pixel differs from the specified threshold, it is considered a hot pixel.

After detecting hot pixels, Hot Pixel Suppressing applies various correction algorithms using data from neighboring pixels. It can use statistical methods, filters, or interpolation to replace hot pixels with more realistic values that match surrounding pixels.

The goal of Hot Pixel Suppressing is to achieve sharper, more defect-free images, eliminate artifacts, and improve photo quality. Hot pixels often appear during long exposures or in low light conditions. They can create unwanted spots in the photo, which can ruin its visual appearance. Hot Pixel Suppressing helps you overcome this problem and make your photos more attractive and professional.

Thus, Hot Pixel Suppressing in Google Camera is an essential feature for enhancing the quality of photos and minimizing the effects of hot pixels, making it a must-have for power users and photographers looking to get the best results when using the app. The Tun Suppress Hot pixel option in the Google Camera settings adjusts the suppression of hot pixels when shooting.

Hot pixels are pixels on the camera sensor that are highly sensitive to light and can appear as bright spots or noise in photos. They can occur with long exposures, high ISO or high temperature conditions.

When the Tun Suppress Hot pixel option is enabled, Google Camera will apply image processing algorithms to suppress hot pixels. This helps reduce the amount or brightness of these artifacts in the photo, resulting in a cleaner, higher-quality image.

However, it should be noted that hot pixel suppression may affect overall image clarity or detail in dark areas. Therefore, for some shots, especially in low light conditions, it may be better to turn this option off to preserve all the details and keep the image looking natural.

Noise reduction (patch settings menu section)

Smoothness

Smoothness in Google Camera (GCAM) is a function that is responsible for smoothing the image on devices when shooting. It allows you to get smoother and softer edges of objects, reducing the presence of noise and irregularities in photos.

Smoothness works by running image processing algorithms that analyze pixels in a photo and apply various filters and techniques to improve their quality. These filters allow you to smooth out the boundary lines of objects in the photo and eliminate some artifacts, such as noise and blur.

When Smoothness is enabled, GCAM applies smoothing algorithms that change pixels so that the boundaries of objects look more natural. They remove some details and textures to achieve a soft effect. This can be useful when taking portraits or other pictures with people, as smoothing helps to soften minor skin defects and make the image more captivating.

However, it should be borne in mind that Smoothness can be subjective and is not always suitable for all shots and situations. Some users prefer more realistic and sharp images, so they prefer to turn off the Smoothness or adjust it to a minimum value.

Overall, Smoothness in GCAM offers the user additional image processing capabilities, giving them control over the softness and smoothness of the edges in photos. The use of Smoothness depends on the individual preferences of the user, as well as on the desired style of photography.

Smoothing 1 (only wiener merge)

Smoothing 1 (only wiener merge) and Smoothing 2 (only wiener merge)- this is an image processing function used in Google Camera to smooth out details and noise in photos using the Wiener merge method.

Wiener merge is an image processing algorithm that allows you to smooth out details and reduce noise in photos. Smoothing 1 (only wiener merge) uses this algorithm to analyze and correct images in order to improve their visual quality.

The Smoothing 1 (only wiener merge) setting usually offers the user the ability to control the level of smoothing and exposure to details and noises in photos. This allows the user to adjust the function according to the shooting preferences and requirements.

The goal of Smoothing 1 (only wiener merge) is to achieve a smoother and softer look of photos by reducing noise and smoothing out details. This can be useful, for example, when shooting portraits or in situations where it is desirable to create a softer and smoother effect.

However, it is worth noting that intensive use of this function can lead to the loss of some details or the creation of an artificial look in the photos. Therefore, it is recommended to find a balance between smoothing and preserving the desired details in each specific situation.

The general recommendation is to experiment with this function to find the optimal level of smoothing and achieve the desired visual effect on photos.

Smoothing 1 (only wiener merge) helps to improve the visual quality of photos and create a smoother and softer look in Google Camera.

Smoothing New (Smooth Micro)

Smoothing New (Smooth Micro) is a new image processing feature available in Google Camera that allows you to smooth out the smallest details in photos to create a smoother visual effect.

This feature uses special image processing algorithms to smooth out micro-details, such as fine textures, hair, or other small elements in photos. It reduces the sharpness of these details to create a softer and smoother appearance of the photo.

The Smoothing New (Smooth Micro) setting usually offers the user the ability to control the level of smoothing and impact on the smallest details in photos. This allows the user to adjust the function according to the shooting preferences and requirements.

The goal of Smoothing New (Smooth Micro) is to achieve a softer and smoother look of photos, reducing the sharpness and severity of the smallest details. This can be useful, for example, when creating a plastic effect in portrait photos or when shooting objects with soft textures.

However, it is worth noting that intensive use of this function can lead to the loss of some details or the creation of an artificial look in the photos. Therefore, it is recommended to find a balance between smoothing and preserving the desired details in each specific situation.

The general recommendation is to experiment with this function to find the optimal level of smoothing and achieve the desired visual effect on photos.
Smoothing New (Smooth Micro) helps to improve the visual quality of photos and create a softer and smoother look in Google Camera.

Temporal Binning

Temporal Binning in the Noise Reduction section of Google Camera is one of the techniques that are used to improve image quality when shooting in low light or high noise conditions. Temporal Binning allows you to reduce the noise level in a photo by combining information from different frames taken during shooting.

The principle of Temporal Binning is to combine several frames and sum pixel values. When the camera takes a series of frames, it stores information about each of them, and then uses this information to create one final image. In the process of summing values from different frames, the noise, usually of a random nature, is distorted, and the signal, which remains constant in each frame, is amplified. This reduces noise and increases the clarity of the image.

However, Temporary Binning has its limitations. Firstly, it requires the stability of the camera during shooting, since any camera movements can lead to distortion of the final image. Secondly, to create the final image, it takes time to process and summarize the frames, so shooting in Temporary Binning mode may take some time.

As an experienced Google Camera user, you will be able to adjust the noise reduction parameters, including Temporal Binning, according to your needs and preferences. You may need to experiment with different settings to achieve the best balance between noise reduction and image detail. However, Temporary Binning will be a useful tool to improve the quality of your photos in low light or high noise conditions.

Radius Temporal

Radius Temporal in the noise reduction section of Google Camera (GCAM) is one of the parameters that allows you to control the level of noise reduction and the preservation of details in photos when shooting in low light conditions.

This parameter is responsible for the radius of the search for temporal information in pixels during image processing. When shooting in low light conditions, the camera needs a longer exposure to get enough light for photography. However, a longer exposure also leads to more noise in the photo.

The task of Radius Temporal is to minimize noise by combining information from different frames taken with small changes in exposure settings or viewing angle. Each frame is added to the total and divided by the number of frames, which allows the average value for each pixel. Thus, the captured noise is excluded from the image.

The higher the Radius Temporal value, the more information and frames are processed, which leads to greater noise absorption. However, if the values are too high, artifacts may appear caused by the movement of objects in the frame or a change in illumination.

The user can choose the appropriate noise reduction level suitable for a particular photo shoot by experimenting with different values of Radius Temporal in GCAM. This option provides control over the balance between eliminating noise and preserving details in the image.

Shot Noise Factor (SNF)

Shot Noise Factor (SNF) is one of the parameters used to evaluate the quality of images obtained with the camera. It is a measure of the noise level that can be detected in an image obtained with a camera, and is one of the main factors affecting image quality.

Google’s camera uses a noise reduction algorithm that uses various techniques to reduce noise in images captured from the camera. One of the methods that is used in Google Camera is an algorithm based on SNF.

The Shot Noise Factor is a measure that determines how much noise in an image is random rather than systematic. The lower the SNF value, the less noise there is in the image and the higher the image quality. In Google Camera, this parameter is used to determine the optimal level of noise reduction in the image.

If the SNF value is high, it means that the noise in the image is systematic and can be removed using noise reduction algorithms. If the SNF value is low, it may indicate that there is a lot of random noise in the image and noise reduction algorithms may be ineffective.

Google Camera uses SNF-based algorithms to determine the optimal level of noise reduction and improve image quality. They also use other parameters such as contrast and brightness to improve the image quality and make it clearer and brighter.

Light and Shadow (Patch settings menu section)

Dehazed Expo

In Google Camera, the Dehazed Expo feature in the Light and Shadows section is designed to reduce the visibility of haze or atmospheric interference in photos. It analyzes the image and intelligently adjusts exposure and contrast to increase overall clarity and eliminate the haze effect.

If the Dehazed Expo feature is enabled, it detects areas of the image that appear blurry or devoid of detail due to atmospheric conditions. It then applies algorithms to evaluate information about the depth of the scene and the degree of haze present. Based on this analysis, the function selectively adjusts exposure and contrast settings to improve visibility and restore lost details in the affected areas.

The Dehazed Expo feature essentially helps to overcome the limitations caused by haze or fog, allowing users to take clearer and brighter photos even in difficult atmospheric conditions.

Clarity

Clarity in light and shadows is a feature of Google Camera that aims to improve image quality by balancing the exposure of both bright areas (light) and dark areas (shadows) in a photo. It works using advanced algorithms for image analysis and intelligent adjustment of brightness and contrast levels.

When taking a photo, it can be difficult for the camera sensor to capture details in areas with extreme contrast, for example, when there are bright highlights and deep shadows in the same scene. This may result in overexposing or underexposing parts of the image, resulting in loss of detail.

Clarity in the Light and Shadows mode solves this problem by selectively enhancing shadows and light areas. It identifies areas with excessive brightness or darkness and applies targeted adjustments to make them more visually appealing and natural. This process involves identifying details in the shadows without making them too bright, and restoring light areas without darkening them.

To do this, the algorithm analyzes the pixel distribution of the image and applies localized adjustments. It identifies areas that need improvement and adjusts exposure and contrast accordingly, ensuring a balanced representation of both light and shadow areas.

Using the Clarity in light and Shadows function, users can expect to improve the image quality with increased detail in both bright and dark areas. This feature helps capture images with a more accurate representation of the dynamic range of the scene, resulting in visually pleasing photos with better overall exposure.

Contrast 1

Contrast 1 of light and shadows in Google Camera is a feature that allows users to adjust contrast levels specifically for light and shaded areas of the image. This allows users to fine-tune the balance between bright and dark areas, expanding the overall dynamic range and visual appeal of the photo.

When adjusting the contrast in the Light and Shadows section, Google Camera analyzes the image and identifies areas that are brighter or darker than the average. It then applies contrast settings to those specific areas, highlighting tonal differences and increasing overall depth and detail.

Increasing the contrast in light areas increases the brightness and clarity of light areas, making them more noticeable. On the other hand, increasing contrast in shaded areas improves the visibility and detail of dark areas, preventing them from looking too cloudy or fuzzy.

By offering separate light and shadow controls, Google Camera gives users more control over the tonal balance of images, allowing them to achieve the desired level of contrast in certain areas. This feature is especially useful in scenes with a wide range of lighting conditions or when shooting subjects with strong contouring, ensuring that both bright and dark areas are well exposed and visually appealing.

Set Gamma Factor: 1/x (Contrast 2)

Set Gamma Factor: 1/x (Contrast 2) in the Light and Shadows section of Google Camera is a setting that allows the user to control the contrast of the image created by the camera. The gamma factor parameter determines how the brightness values in the image will be converted to create contrast.

The gamma correction used in this setting is a non-linear function that changes the brightness display on the screen. The parameter gamma factor is inversely proportional to the value of x. That is, the larger the value of x, the smaller the contrast will be, and the smaller the value of x, the greater the contrast will be.

When the contrast is set to 2, it means that the gamma factor is 1/2 or 0.5. This causes the dark areas of the image to become even darker and the light areas to become even lighter, which increases the contrast between them. Conversely, if the gamma factor were 1/3 or 0.33, the contrast would be even more pronounced, with darker dark areas and lighter light areas.

The principle of operation of this setting is to change the brightness conversion curve to enhance the difference between the light and dark parts of the image. This can be useful when you need to emphasize details in low-light conditions or to create more saturated and contrasting photos.

Highlight Compensation

Highlight Compensation (Compensation of light spots) in the GCAM application is a function that allows you to improve the processing of bright light areas or light spots in a photo. Usually, high light spots can be too bright and lose details or burn out in the photo.

Highlight Compensation in GCAM helps to balance bright light areas to preserve more detail and contrast in these areas. It works by automatically correcting exposure and tones to prevent burnout and preserve more detail in high light areas.

This feature can be especially useful when shooting scenes with a large dynamic range, for example, when photographing landscapes with bright skies and shadows. It helps to achieve more balanced and detailed results, improving the reproduction of light spots in the photo.

Please note that the availability and functionality of Highlight Compensation in GCAM may depend on the version of the application and the device used. It is recommended to familiarize yourself with the application settings and its documentation for detailed information about the Highlight Compensation function in a specific version of GCAM.

Lighting

Lighting in the Light and Shadows section of Google Camera is a feature that improves the lighting conditions in your photos by intelligently adjusting exposure and dynamic range. It works by analyzing the scene and making adjustments to ensure that both bright and dark areas of the image are properly exposed and retain details.

When you enable this feature, Google Camera uses advanced algorithms to analyze lighting conditions and identify areas that are too bright or too dark. He then applies localized tonal compression techniques to balance the exposure and optimize the dynamic range of the photo.

For bright areas, the program applies tonal compression to prevent overexposure and ensure that details are not lost in bright areas. It intelligently adjusts the exposure to reveal additional details and provide a pleasant overall brightness.

Similarly, for darker areas, the software uses techniques such as tone mapping and noise reduction to improve visibility and reveal hidden details without excessive noise or artifacts.
Lighting in the Light and Shadows mode in Google Camera is aimed at creating a more balanced and visually attractive image by optimizing exposure and dynamic range. This helps to shoot scenes with high contrast, such as landscapes or backlit objects, where lighting conditions can make it difficult to get a well-exposed photo.

In general, this feature aims to improve the overall lighting in your photos by highlighting both light and dark areas, resulting in a brighter and more detailed image.

HDR Range – / HDR Range +

HDR Range – and HDR Range + in Google Camera are settings that allow you to control the dynamic range of the image. Dynamic range is the difference between the brightest and darkest areas of an image.

HDR Range – reduces the dynamic range of the image, reducing the difference between light and dark areas. This can help reduce noise and improve detail in dark areas, but may lead to loss of detail in light areas.

HDR Range +, on the contrary, increases the dynamic range, increasing the difference between light and dark areas of the image. This can improve detail and contrast in light areas, but it can also lead to noise in dark areas.

HDR Overall Lightness

HDR Overall Lightness (Total HDR Brightness) in the GCAM application is a parameter that allows you to control the overall brightness of the image when using the HDR (High Dynamic Range) mode.

The HDR mode in photography allows you to create images with a wider dynamic range, preserving details both in bright light areas and in shadows. However, the use of HDR can sometimes affect the brightness and overall exposure of a photo.

The HDR Overall Lightness parameter in GCAM allows you to adjust the overall brightness of the image when using the HDR mode. It allows you to increase or decrease the overall brightness to achieve the desired lighting effect on the photo.

Increasing the value of HDR Overall Lightness can make the image brighter and more illuminated, emphasizing details in the shadows and mid-tone areas. On the other hand, reducing the value can make the image darker and more contrasting, while preserving details in bright light areas.

The specific settings and availability of the HDR Overall Lightness parameter may depend on the GCAM version and the device used. It is recommended to familiarize yourself with the application settings and its documentation for more detailed information about the HDR Overall Lightness function in a specific version of GCAM. (HDR Overall Lightness – As described in the bookmark\ comments to it, HDR_overall_lightness works as a normal regulator of the effect that Contrast 1 gives. The smaller, the weaker the Gcam pulls shadows, i.e. it can be smoothly adjusted, and not as before – either there is or not. It works unstable and often leads to a camera crash).

HDR Effect Intensity

The HDR Effect Intensity in Google Camera is a parameter that controls the strength or intensity of the Extended Dynamic Range (HDR) effect applied to photos. HDR is a technique used to capture a wider range of light and shadow details in a single photo by combining multiple exposures.

By adjusting the HDR Effect Intensity, you essentially control how much HDR processing is applied to your photos. A higher intensity setting increases the strength of the effect, which leads to an expansion of the dynamic range with brighter colors, improved detail of shadows and light areas, as well as an overall balanced exposure. This parameter can be useful in scenarios with high contrast lighting, for example in bright sunlight and deep shadows.

On the other hand, a lower intensity setting reduces the HDR effect, resulting in a more natural or refined look with less pronounced dynamic range expansion. This can be useful if you prefer a more realistic representation of the scene or want to keep the original atmosphere of the lighting conditions.

By adjusting the HDR Effect Intensity, you can adjust the HDR processing level according to your preferences or the specific scene being shot. This feature helps to achieve the desired balance between preserving details in bright and dark areas, while maintaining a visually pleasing and realistic result.

HDR Effect

In Google Camera, the HDR Effect in the Light and Shadows section refers to a feature that extends the dynamic range of your photos. HDR stands for extended dynamic range, which means it captures a wider range of brightness levels between the darkest and brightest areas of the image.

When you turn on the HDR Effect in Google Camera, the app takes multiple photos with different exposure levels. He takes one photo with a normal exposure, another with a lower exposure to keep the details in the light areas, and a third with a higher exposure to keep the details in the shadows.

These multiple photos are then combined using advanced algorithms to create a single image that balances exposure across the scene. The goal is to create a photo that reveals more detail in both bright and dark areas, resulting in a more balanced and visually appealing image.

The HDR Effect feature in Google Camera is especially useful in situations where there is a high contrast between light and dark areas, such as landscapes with a bright sky and a shaded foreground, or indoor scenes with bright windows and darker interiors. By combining images with different exposures, the HDR effect helps prevent overexposed or underexposed areas, resulting in a photo that becomes more evenly exposed and bright.

Contrast Black

In Google Camera, the Black Contrast function is in the Light and Shadows settings. It is designed to increase contrast and detail in dark areas of the image. If the Black Contrast feature is enabled, it applies a local contrast adjustment algorithm to selectively increase the contrast in the shadows while maintaining light details and overall image balance.

The Black Contrast function analyzes the tonal range of the image and identifies areas that appear to be underexposed or devoid of detail in dark areas. A series of adjustments are then applied to these specific areas to increase contrast and reveal hidden details.

To achieve this, Contrast Black uses a combination of techniques such as tonal mapping, local contrast enhancement, and dynamic range optimization. It defines the boundaries between different areas of the image and enhances the contrast along these edges, resulting in improved clarity and clarity.

By selectively increasing the contrast in the shadows, Contrast Black helps to reveal details that would otherwise be lost or hidden. This feature can be especially useful in situations where lighting conditions create a sharp contrast between light and dark areas or when shooting objects that are predominantly in shadow.

Overall, Contrast Black in Google Camera is a powerful tool that allows users to optimize contrast and detail in darker areas of their photos, resulting in more visually appealing and balanced images.

Sabre Contrast

Sabre Contrast in the Light and Shadows section of Google Camera (GCAM) is a parameter that allows the user to control the level of contrast and detail in photos when using the camera.

The principle of operation of the Sabre Contrast parameter in GCAM is to use image processing algorithms to improve contrast and preserve details. It is especially useful in high contrast scenes where there are bright and dark areas at the same time.

Sabre Contrast works by processing pixels in a frame based on their surrounding context and setting the contrast level specified by the user. GCAM algorithms optimize pixel contrast while preserving details in bright and dark areas.

By increasing the value of the Sabre Contrast parameter, the image processing algorithms in GCAM enhance the contrast, increasing the difference between the light and dark areas of the image. This makes the outline of objects clearer and brighter, and also enhances the depth and volume of the photo. Details and textures in both areas are saved at the same time.

However, it is important to remember that too high a Sabre Contrast level can lead to undesirable effects, such as increased noise or loss of detail in bright or dark areas. Therefore, the user should experiment with different Sabre Contrast values to find the optimal balance between contrast and preserving details for a particular shoot.

White Level

The White Level in the Light and Shadows section of Google Camera (GCAM) is a parameter that allows the user to control the level of brightness and saturation of white color in photos taken with the camera.

The principle of operation of the White Level parameter in GCAM is to adjust the main point of brightness and saturation, which determines the level of white color in the photo. Changing this parameter allows the user to control how bright the white color will be in the photo, and how saturated it will be.

A low White Level value will tend to make the following pixels darker, reducing the brightness of the white color and visual saturation. A high White Level value will tend to make the following pixels brighter, increasing the brightness of the white color and visual saturation.

The user can adjust the White Level parameter depending on visual preferences and specific shooting requirements. For example, increasing the White Level value can lead to a brighter and richer white color, which is especially useful when photographing snowy or brightly lit scenes. On the other hand, reducing the White Level value can help preserve details and avoid burnout when shooting bright objects.

The principle of operation of the White Level parameter in Google Camera is to adjust the brightness and saturation of white color in a photo. This allows the user to control the visual impression and allows the desired aesthetic effect to be achieved in photographs.

Shadow Tuning

Shadow Tuning in the Light and Shadows section of Google Camera is a feature that allows the user to adjust shadows in photos to achieve the best image quality.

The principle of Shadow Tuning is that it allows you to control the brightness and detail in the shadows in photos. When a picture is taken in low light conditions, there are often problems with shadows that can make the image fuzzy or dark.

Shadow Tuning allows the user to adjust this problem. It offers several configurable parameters, such as brightness level and shadow detail. Increasing the brightness allows you to make the shadows lighter, while increasing the detail helps to more clearly display objects in the shadow.

Setting up Shadow Tuning in GCAM is done by using sliders that can be dragged left or right to change the brightness and detail values. The user can observe the changes in real time and adjust these parameters until the desired results are achieved.

When the user increases the brightness and detail of the shadows, he can significantly improve the quality of the photo, especially in low-light conditions. This allows you to save more details in dark areas and make the image more realistic.

However, it should be remembered that an excessive increase in brightness or detail can lead to overexposure or loss of detail in other areas of the photo. Therefore, it is important to adjust the parameters wisely in order to achieve the best result.

In general, Shadow Tuning in GCAM is a useful tool for experienced Google Camera users who want to adjust shadows on their photos. It gives you the ability to control the brightness and detail in the shadows to create a better and more realistic image.

Shadow Compensation

Shadow Compensation in the Light and Shadows section of Google Camera is a feature that allows the user to improve the quality and detail of shadow areas in a photo. This feature is especially useful when shooting in low light or high contrast conditions.

The principle of Shadow Compensation is that it analyzes shadow areas in the image and automatically adjusts the exposure and brightness to reduce shadows that are too deep and make them clearer and more detailed. This is achieved by processing the image using various shadow compensation algorithms.

When the Shadow Compensation feature is enabled, Google Camera detects areas of the image in which there are too dark shadows, and automatically adjusts the exposure in these areas to make them more illuminated and detailed. This allows you to maintain a balance between the illuminated and darkened areas in the photo and make it more lively and natural.

Additionally, when using Shadow Compensation, the user also has the ability to manually adjust the level of shadow compensation. This allows the user to adjust the intensity of shadow correction depending on his preferences and requirements for a particular shot.

Thus, Shadow Compensation in Google Camera is an important feature that allows you to improve the quality of shadow areas in photos and achieve more uniform image illumination in low-light or high contrast conditions. This helps to create more lively, detailed and expressive photos.

Dehazed Regulator 2

Dehazed Regulator 2 is a feature that has been added to the Light and Shadows section of Google Camera to help users manage the level of fog or smoke in a photo.

The basic principle of Dehazed Regulator 2 is to automatically recognize and eliminate opacity caused by fog or smoke in order to improve the clarity and detail of the photo.

When shooting smog, fog or smoke, photos may look more faded and less clear. Such conditions can create problems for users who want to get clear and distinct images. Dehazed Regulator 2 in GCAM reduces the impact of these factors on photography.

When the user activates the Dehazed Regulator 2 function, the algorithms inside GCAM begin processing the image to determine the level of fog or smoke on it. After that, the algorithms apply special contrast and brightness adjustment techniques to improve the visibility of details that could be lost due to fog or smoke.

As a result of using Dehazed Regulator 2, users can get cleaner and clearer images, even in conditions where fog or smoke is present on them. The function helps to restore the original appearance of the scene and make your photos more attractive and expressive.

However, it is worth noting that the effectiveness of Dehazed Regulator 2 may depend on the specific shooting conditions and the degree of light attenuation. In some situations, for example, with extremely dense fog, the results may be limited. However, in most cases, the Dehazed Regulator 2 function in Google Camera allows you to significantly improve the visibility and quality of photos, coping with problems associated with fog or smoke.

Brightness Intensity

Brightness Intensity in the Light and Shadows section of Google Camera is responsible for controlling the brightness of images when shooting. This parameter allows the user to adjust the amount of light and shadows in the photo.

Google Camera uses various algorithms and computer vision techniques to automatically adjust the brightness of the photo to the optimal level. However, Brightness Intensity gives the user the possibility of manual intervention in this process.

When the Brightness Intensity value is increased, the photo will become brighter. This can be useful if the image is not sufficiently illuminated, or to emphasize details in dark areas of the image. On the other hand, when the Brightness Intensity value decreases, the photo will become darker. This can be useful if you want to create more saturated shadows or suppress excessive brightness in the image.

The brightness intensity is a dynamic parameter that can be adjusted in real time. The user can visually monitor changes in the image directly on the screen, as well as receive instant feedback regarding the optimal brightness level.

In addition to Brightness Intensity, Google Camera offers other tools for controlling light and shadows, such as exposure control and shadow adjustment. Together, these tools allow users to create more balanced and high-quality photos in terms of lighting.

As a GCAM developer and an experienced Google Camera user, you can use Brightness Intensity to achieve the desired aesthetic effects on your photos and ensure the best image quality according to your preferences.

Subtle noise reduction levels (Merge 1) (Patch settings menu section)

Preset Luma Sabre Level

Preset Luma Sabre Level is a setting in Google Camera that allows you to control the level of image processing using the Luma Sabre algorithm to improve detail and contrast in photos.

Luma Sabre is an image processing algorithm that is designed to enhance detail and contrast in photographs. It works on the basis of brightness analysis of various parts of the image and applies appropriate processing to improve their visual perception.

The Preset Luma Sabre Level setting offers several preset processing levels that can be selected in the Google Camera app. These levels offer various image processing settings using the Luma Sabre algorithm, and the user can choose the most appropriate option depending on their preferences and requirements for photos.

The principle of operation of Preset Luma Sabre Level is to apply certain filters and brightness adjustments to enhance the details and contrast in photos. A higher level of processing can result in brighter and more contrasting images, while a lower level can preserve the more natural look of photos.

However, it should be remembered that too intensive use of this setting can lead to the loss of some details or the creation of an artificial effect in photos, so it is recommended to find a balance between enhancing details and naturalness of the image.

The general recommendation is to experiment with the Preset Luma Sabre Level setting to find the optimal level of image processing depending on the specific scene and your preferences in photo processing.

The Preset Luma Sabre Level setting allows you to improve details and contrast in photos using the Luma Sabre algorithm in Google Camera.

Wavelet Luma Denoise High Sabre Levels

The Wavelet Luma Denoise High Sabre Levels in Google Camera is a feature designed to reduce noise and improve detail in photos. This setting is based on wave noise reduction technology, which works with data on the brightness of image pixels.

The setting Wavelet Luma Denoise High Sabre Levels has several levels reflecting the degree of intensity of noise reduction and improvement of details. Higher values of this parameter mean more intensive noise reduction and increased detail, while lower values make this process less active.

When using high adjustment levels Wavelet Luma Denoise High Sabre Levels, noise reduction can be achieved, especially in situations with low illumination or high ISO sensitivity. This helps to make the photos clearer and more detailed.

However, it is important to keep in mind that excessive use of noise reduction can lead to the loss of some small details and blurring of the image. Therefore, it is recommended to optimally adjust the levels of Wavelet Luma Denoise High Sabre Levels in accordance with the specific shooting conditions and user preferences.

In general, setting Wavelet Luma Denoise High Sabre Levels in Google Camera is a powerful tool for reducing noise and improving details in photos. It allows users to achieve better results when shooting in low-light conditions or other situations where noise can affect image quality.

Wavelet Luma Denoise Low Sabre Levels

The Wavelet Luma Denoise Low Sabre Levels in Google Camera is a feature that allows the user to reduce noise and improve the clarity of details in the image. The setting is based on the application of the wave noise reduction algorithm to the brightness information of pixels.

The setting Wavelet Luma Denoise Low Sabre Levels has several levels that adjust the intensity of noise reduction. Lower parameter values mean weaker noise reduction, and higher values make it more intense.

Using low adjustment levels Wavelet Luma Denoise Low Sabre Levels allows you to reduce the noise level in photography, especially in low light conditions or when using high ISO sensitivity. This allows you to make the image clearer and improve the clarity of details.

However, it should be remembered that too intensive use of noise reduction can lead to the loss of some fine details or the appearance of blurring in the image. Therefore, it is recommended to adjust the setting levels Wavelet Luma Denoise Low Sabre Levels according to the specific shooting conditions and visual preferences.

As a result, setting Wavelet Luma Denoise Low Sabre Levels in Google Camera is a powerful tool for reducing noise and improving the clarity of details in photos. It allows users to achieve better results, especially in conditions with poor illumination or when using high ISO sensitivity.

Wavelet Luma Denoise Medium Sabre Levels

The Wavelet Luma Denoise Medium Sabre Levels in Google Camera is a setting that allows you to reduce noise and improve image detail. It is based on wave noise reduction and contrast enhancement algorithms.

The settings levels of the Wavelet Luma Denoise Medium Sabre Levels allow the user to control the intensity of the application of wave noise reduction and improve detail. Higher values of this parameter make noise reduction and detail enhancement more intense, while lower values make them less active.

Using the Wavelet Luma Denoise Medium Sabre Levels setting allows you to reduce the noise level in the image and improve detail, especially in low light conditions or when using high ISO sensitivity. This allows you to get cleaner, sharper and more detailed photos.

However, it is worth noting that too intensive use of noise reduction or improvement of detail can lead to the loss of some fine details or the creation of artificial artifacts in the image. Therefore, it is recommended to adjust the levels of the Wavelet Luma Denoise Medium Sabre Levels depending on the specific shooting conditions and the desired results in order to achieve a balance between noise reduction and preservation of details.

As a GCAM developer and an experienced Google Camera user, you can use the Wavelet Luma Denoise Medium Sabre Levels setting to get the best results when photographing in low-light conditions or in other situations where noise can affect the image quality and you want to improve its detail.

Wavelet Spatial Micro Denoise Levels

Configuring the Wavelet Spatial Micro Denoise Levels in Google Camera is a feature that allows the user to control the level of noise reduction in photos using the Wavelet algorithm. The Wavelet technology is used for image analysis and processing at various levels of detail.

The application of the Wavelet Spatial Micro Denoise Levels setting allows the user to set the noise reduction level in photos. The higher the value of this setting, the more noise reduction will be applied. This can be useful to reduce interference and noise in photos, especially in low light or high ISO sensitivity conditions.

However, it is important to note that too high a level of noise reduction can lead to the loss of some details and sharpness of the image. Therefore, it is recommended to adjust this option depending on the specific situation and the visual effect that you want to achieve.

The Wavelet Spatial Micro Denoise Levels setting is available in Google Camera for maximum flexibility and control over the quality of photos. It gives the user the opportunity to achieve an optimal balance between reducing noise and preserving details in the image.

Subtle noise reduction levels (Merge 3) (Patch settings menu section)

Wavelet Luma Denoise High Levels

Wavelet Luma Denoise High Levels is a Google Camera feature that applies a certain type of noise reduction to images. It targets the brightness or brightness component of the image and reduces noise in areas with a high level of detail. This feature is designed to improve image quality by reducing visible noise without significantly affecting the overall sharpness and clarity of the image.

When using high levels of Wavelet Luma Denoise, the algorithm analyzes the image data and identifies areas with high-frequency details, such as fine texture or complex patterns. He then applies a noise reduction process specifically designed to preserve these details while reducing noise in the surrounding areas.

The noise reduction process smooths out the noise in the image, while maintaining the sharpness of the edges and fine details. This is achieved by selectively applying different levels of noise reduction to different areas of the image. The algorithm intelligently adjusts the degree of noise reduction taking into account the local characteristics of each area, ensuring that important details are not lost or blurred.

The high levels of the Luma Denoise Wavelet are particularly effective in situations where images are captured in low light conditions or at high ISO settings, as more visible noise usually occurs in these scenarios. By reducing noise while preserving image details, this feature helps to create cleaner and visually appealing images, improving overall image quality and reducing distractions caused by noise artifacts.

Wavelet Luma Denoise Low Levels

Low Levels of Wavelet Luma Denoise in Google Camera is a noise reduction method specifically designed for low levels of brightness noise in images. Brightness noise is random changes in brightness or intensity, which usually appear as grainy spots in photos in low light or at high ISO values.

The Wavelet Luma Denoise algorithm implemented in Google Camera uses a mathematical concept called wavelet transformations to effectively remove this noise. The wavelet transforms analyze the image at different scales and resolutions, allowing the identification of noise structures occurring at different levels.

At low levels, the algorithm identifies and analyzes noise precisely in the image brightness channel, which plays a crucial role in a person’s perception of image quality. By applying selective noise reduction to the brightness channel, the algorithm preserves important details and textures while reducing unwanted noise in dark areas.

The low levels of the Luma Denoise Wavelet is a special parameter in Google Camera that allows users to adjust the strength or intensity of this noise reduction method. With this control, experienced users can fine-tune the balance between noise reduction and preserving image details according to their preferences and specific shooting conditions.

Wavelet Luma Denoise Medium Levels

In Google Camera, the average levels of the Luma Denoise Wavelet are a setting that primarily aims to reduce noise or image graininess, especially in the brightness (brightness) channel. This function uses a wavelet transform, which is a mathematical method for analyzing and processing signals.

The Average levels parameter refers to the strength or intensity of the noise reduction effect applied to the image. By adjusting this parameter, users can control the level of noise reduction applied, balancing between preserving small details and reducing noise.

Simply put, the Luma Denoise Wavelet Medium Levels feature helps to improve overall clarity and image quality by reducing the noise present in the brightness information. This can be especially useful in low light conditions or when taking images in situations with high ISO settings, when noise tends to be more noticeable.

Wavelet Sky Luma Denoise High Levels

The Wavelet Sky Luma Denoise High Levels is a Google Camera (GCAM) feature designed to reduce noise, especially in areas of sky and image brightness (brightness). Noise refers to random changes in brightness and color that can occur in digital photographs, especially in low-light conditions or at high ISO settings.

This feature uses advanced algorithms to analyze the image and determine areas of sky and brightness, which usually include areas of smooth transitions and gradients. By applying a high level of noise reduction specifically to these areas, the Wavelet Sky Luma Denoise helps maintain the overall clarity and detail of the image, while effectively reducing noise in certain areas where it is most noticeable.

This feature can be especially useful when shooting landscapes, cityscapes, or any scenes where the sky is visible. By reducing noise in the sky and brightness areas, the resulting image becomes cleaner and more visually pleasing, with improved clarity and smoother gradients.

As a GCAM developer and an experienced Google Camera user, it is important to understand and optimize the effectiveness of features such as Wavelet Sky Luma Denoise High Levels so that users can capture high-quality images with minimal noise, especially in difficult lighting conditions.

Wavelet Sky Luma Denoise Low Levels

In Google Camera, the Wavelet Sky Luma Denoise Low Levels feature is a feature designed to reduce noise, especially in weak or dark areas of the sky in a photo. It uses a wavelet algorithm to analyze and selectively reduce noise in the brightness (brightness) values of the sky region.

When taking photos in low light conditions, the noise in the sky can often be more noticeable because of its smooth and uniform appearance. This function is designed to solve this problem by adjusting the noise reduction process specifically to the brightness (brightness) levels of the sky.

The wavelet algorithm works by decomposing the image into several frequency ranges, which allows you to analyze different levels of detail. It identifies and isolates an area of the sky in the image and applies a noise reduction process to smooth out the noise while preserving the overall details and textures of the sky.

By focusing on a low level of brightness noise in the sky, this feature helps to improve the overall quality and clarity of the sky in photos taken in low light conditions. This allows users to capture a more beautiful sky with less noise, resulting in more visually appealing and high-quality photos.

Wavelet Sky Luma Denoise Medium Levels

In Google Camera, the average levels of the Wavelet Sky Luma Denoise is a function related to noise reduction when taking photos. It uses a technique called wavelet noise reduction, specifically designed to reduce noise in areas of the sky and the brightness (brightness) of the image.

Average levels refers to the intensity or strength of the noise reduction applied to the image. This option provides a moderate level of noise reduction, which means that it effectively reduces noise while maintaining a good balance of detail and sharpness of the image.

Using wavelet noise reduction, the algorithm analyzes various frequency ranges of the image and selectively applies noise reduction to certain areas, such as the sky and brightness areas. This helps to preserve more fine details in other parts of the image, such as textures and edges, and at the same time effectively reduce noise in these areas.

In general, the average levels of the Wavelet Sky Luma Denoise in Google Camera is a feature that aims to improve the quality of your photos by reducing noise in the sky and brightness areas, providing a pleasant balance between noise reduction and preserving image details.

Thin Sabre levels (patch settings menu section)

Wavelet Sabre Level New Levels

Wavelet Sabre Level New Levels is an option available in the Google Camera app, which is used for image processing in order to reduce noise and improve the quality of photos. It is based on a combination of two methods: wavelet analysis and the Sabre algorithm.

Wavelet analysis is a mathematical method that splits an image into different scales or levels of detail. This allows you to process noise and details at different levels to achieve optimal noise reduction and detail preservation.

The Sabre algorithm is a method that is used to improve the sharpness and image quality. It works based on the analysis of neighboring pixels and applies certain filters to reduce noise, increase the clarity of details and improve the overall quality of images.

The Wavelet Sabre Level New Levels in Google Camera combines these two methods and allows the user to adjust the levels of image processing. A high level can lead to stronger processing and reduced noise, but there may be small loss of parts. A lower level of processing may retain more detail, but noises may remain more noticeable.

It is important to note that each user can configure the Wavelet Sabre Level New Levels function according to their preferences and the type of shooting. Some scenes or conditions may require more intensive processing to reduce noise, while other scenes may prefer softer processing to preserve details.

In general, the Wavelet Sabre Level New Levels feature in Google Camera helps to improve the quality of photos, especially in low-light conditions. It provides the user with the ability to adjust the level of image processing to achieve optimal noise reduction and preserve details, making the images clearer and more realistic.

Wavelet Sabre Level New N Levels

Wavelet Sabre Level New Levels is an option available in the Google Camera app, which is used for image processing in order to reduce noise and improve the quality of photos. It is based on a combination of two methods: wavelet analysis and the Sabre algorithm.

Wavelet analysis is a mathematical method that splits an image into different scales or levels of detail. This allows you to process noise and details at different levels to achieve optimal noise reduction and detail preservation.

The Sabre algorithm is a method that is used to improve the sharpness and image quality. It works based on the analysis of neighboring pixels and applies certain filters to reduce noise, increase the clarity of details and improve the overall quality of images.

The Wavelet Sabre Level New Levels in Google Camera combines these two methods and allows the user to adjust the levels of image processing. A high level can lead to stronger processing and reduced noise, but there may be small loss of parts. A lower level of processing may retain more detail, but noises may remain more noticeable.

It is important to note that each user can configure the Wavelet Sabre Level New Levels function according to their preferences and the type of shooting. Some scenes or conditions may require more intensive processing to reduce noise, while other scenes may prefer softer processing to preserve details.

In general, the Wavelet Sabre Level New Levels feature in Google Camera helps to improve the quality of photos, especially in low-light conditions. It provides the user with the ability to adjust the level of image processing to achieve optimal noise reduction and preserve details, making the images clearer and more realistic.

Night mode (patch settings menu section)

Night Mode Gain Tuning

Night Mode Gain Tuning is a special setting in Google Camera that allows you to improve the quality of night shooting. It works by increasing the sensitivity of the camera to light at night, which allows you to get brighter and clearer photos in low light conditions.

The principle of Night Mode Gain Tuning is that it increases the sensitivity of the camera to light, which allows it to capture more light in low-light conditions, such as night or dark rooms. This is achieved by increasing the signal gain level that is used for image processing.

As a result, Night Mode Gain Tuning allows you to get brighter and more detailed images in low light conditions without using additional lighting. However, it should be borne in mind that increasing sensitivity to light can lead to increased noise in images and loss of detail in bright areas. Therefore, before using this setting, it is necessary to carefully adjust its parameters in accordance with the shooting conditions.

Night Mode Exposition

Setting the Night Mode Exposure in Google Camera is the ability to adjust the duration of the camera exposure in night mode. Exposure is the time during which the camera collects light to create an image.

In night mode, the camera shoots in low-light conditions. Since the camera receives less light in low light, increasing exposure allows you to collect more light, which in turn improves the quality and brightness of photos in low light conditions.

When using the Night Mode Exposure setting in Google Camera, you can adjust the exposure time manually or automatically. If the automatic mode is selected, the camera itself determines how long it takes for each shooting depending on the lighting conditions and adjusts the exposure accordingly.

If the manual mode is selected, the user can independently set the exposure duration. Usually the range of manual settings varies from a few seconds to several minutes. The longer the exposure duration, the more light will be collected by the camera, which can lead to brighter and more detailed photos in low light conditions. However, prolonged exposure can also cause an image blurring effect if the camera or subject is not stabilized.

Setting up Night Mode Exposure in Google Camera allows the user to adjust the exposure time depending on his preferences and shooting conditions. This helps to get better shooting results in the dark or in poorly lit places, adding brightness and detail to the image.

LUT Noise Fix

The LUT Noise Fix setting in GCAM refers to the functionality aimed at correcting noise when processing photos using a color conversion table (LUT).

A LUT (Look-Up Table) is a set of mathematical values that is applied to the pixels of an image to change their color characteristics. In the context of the LUT Noise Fix setting in GCAM, LUT is used to correct noise that may appear in photos, especially in low light conditions or when using high ISO values.

When the LUT Noise Fix setting is enabled in GCAM, the program uses LUT tables to analyze and correct noise in photos. It can perform several types of noise correction, such as noise elimination in the brightness channel (luma noise) or color channel (chroma noise). The program applies appropriate mathematical transformations to the pixels of the image to reduce various types of noise and improve the overall quality of photos.

It is important to note that the LUT Noise Fix setting may vary depending on the specific version of GCAM and the image processing algorithms used in the application. The exact details of the work and methods of noise correction in each version can only be available to developers or in official documentation.

In general, setting up a LUT Noise Fix in GCAM is a way to combat noise in photos by using LUT tables and appropriate corrections. It is designed to improve the overall image quality, reduce noise and achieve cleaner and more detailed photos. For more precise information about the LUT Noise Fix function in a particular version of GCAM, it is recommended to consult official sources, such as documentation or the GCAM user and developer community.

[ DEVELOPER_SETTINGS ]

Thanks @Artem_RH and @Vete71ROK Thank you @IamVamsiK for the translation RU-EN

POST_CAPTURE_TEMPORAL_BINNING

Post_capture_temporal_binning refers to a feature in the Google Camera app that helps improve the overall image quality of photos taken in low light conditions. Temporary Unification is a method that combines multiple frames taken in a short period of time to create a single higher quality image.

When the feature is enabled, post_capture_temporal_binning uses the camera’s serial shooting capabilities to produce a series of images in quick success. These images are then processed and combined using advanced algorithms to reduce noise, increase dynamic range, and master garden.

Using the time-reference feature, Google Camera can capture multiple frames with different exposure levels, allowing for better image quality in challenge lighting conditions.This method can effectively reduce noise and improve overall image independence, especially in low light or high contrast scales where individual frames may suffer from a limited dynamic range or increased noise levels.

Beholder_enabled

Beholder_enabled in Google Camera is responsible for turning on or off the Beholder function. Beholder is the name of an image stabilization feature designed to improve the quality of photos and videos taken with the camera.

The Beholder feature uses specific algorithms and methods to compensate for shaking hands or camera movements during shooting. This allows for clearer and more stable images, especially in low light or when using large magnification.

Camera.cuttle.enable_timeout

Cuttle Enable Timeout on Google Camera refers to a feature that controls timeout for the Cuttlefish feature in the Google camera. Cuttlefish is the internal name for Google’s algorithm, which is used to improve the quality of photos and videos on devices with a Google camera.

The Cuttle Enable Timeout determines how long Cuttlefish will be used to process images and videos in the Google Camera app before the feature is disabled.Setting a higher timeout value gives the application more time to process images, which could eventually lead to better quality of photos and videos.

Camera.cuttle.sky

Suttle Sky is a feature on the Google Camera app that lets you change the sky in your photos. Cuttle Sky can also automatically adjust the colors and contrast of the new sky so that it fits seamlessly into the photo. However, it is important to note that sometimes the result may look unnatural or too bright, so it is recommended to carefully view the photos after applying this function.

Camera.cuttle.motion_ef

Cuttle Motion EF in Google Camera is a special effect technology that allows you to create live images based on photos taken using different cameras. She uses machine learning and computer vision to create motion and animation effects inside a fixed photograph.

Cuttle Motion EF allows you to recreate motion and speaker moments that cannot be captured by a regular photo.You can add movement to objects, create 3D effects and animations, and add additional elements and visual effects. It allows you to liven up your photos and create unique and exciting illusions of movement.

Camera.micro_motion

Camera.Micro_Motion is a feature in Google Camera that allows you to shoot short video clips with barely noticeable movement. It is designed to give liveliness to your photos by creating small, cyclic videos. This feature is especially useful when you want to capture small movements or gestures in a scene, such as flickering flames, waking leaves or flowing water.

Camera.micro_full_color_range

Micro full color range on Google Camera refers to a feature that allows you to photograph images with a wider range of colors. This is a technology that allows you to improve the accuracy and saturation of color in photos, creating a more realistic display.

Camera.micro_tone_map

Micro Tone Map on Google Camera is an image processing technology that is used to improve the quality of photos by optimizing microtonal parts.

Camera.micro_prestab

Micro Prestab on Google Camera is a feature that allows you to improve the quality of photos taken in poor light or with little camera movements. Micropruning uses image fusion technology to combine several identical frames and reduce the blur effect caused by involuntary camera movements during shooting.

When the Micro Prestab feature is turned on, the camera will automatically take a series of shots and combine them into one photo to get a clearer picture.This is especially useful in low light conditions where the exposure time is increased, which can cause the image to blur due to natural hand movements while holding the camera.

Camera.micro_early_Is

Micro Early IS (Image Stabilization) on Google Camera is a feature that helps improve image stabilization when shooting on mobile devices. It was developed by Google and is designed to reduce the blur of the image caused by shaking hands during photography or video recording.

Camera.micro_v2_format

The Micro _ v2_format on Google Camera is a save image format that provides more compact image files while maintaining high quality. This format can be useful in cases where you need to save a large number of photos on your device or when saving disk space is important.

Camera.mts_motion_photo_threshold

In Google Camera, the camera.mts_motion_photo_threshold parameter is responsible for setting the threshold for motion detection in photos with Motion Photos (moving photos).

Motion Photos is a feature that records a few seconds of video along with a regular photo to capture the moments before and after taking off. The camera.mts_motion_photo_threshold parameter allows you to determine how heavy traffic must be for the system to consider it worthy of preservation in the form of Motion Photo.

The default value is camera.Mts_motion_photo_threshold in Google Camera is usually set to a certain preset level, which is the most general and suitable for most situations. However, the user can change this setting to increase or decrease the sensitivity to motion and control what moments will be recorded in Motion Photos.

It can be expressed in numerical form, where a lower value means more accurate motion detection, and a higher value is more restrained and less sensitive to motion.

Camera.cuttle_extended

It provides a wider set of features and settings to improve the quality of photos and videos. Some may include augmented reality (AR) shooting modes, advanced exposure settings, additional filters, RAW format support, and other tools for fine-tuning shooting parameters.

Camera.enable_cuttlef

Enable Cuttlef on Google Camera is a feature that allows the use of an image processing algorithm developed by Google and called Cuttlef. This algorithm is used to improve the quality of photos, especially in low light or low contrast conditions. It works on the basis of artificial intelligence and machine learning, which allows you to improve detail, color reproduction and contrast of the image.

Camera.enable_lkcnry

In the context of Google Camera, enable_lkcnry is a setting related to an image processing function known as noise elimination. Noise elimination (denoising) is the process of eliminating noise and pixel-level artifacts in a digital image that can result from low illumination or other factors.

Enable_lkcnry in Google Camera provides the ability to enable or disable this feature.When the noise elimination function is activated (enable_lkcnry = true), Google Camera will use image processing algorithms to reduce noise in photos. This can lead to cleaner and more detailed images, especially in low light conditions.

However, it is worth noting that the activation of noise elimination (enable_lkcnry = true) can also lead to some loss of detail and texture in the image. Depending on the situation and user preferences, it may or may not be desirable or desired.

Camera.enable_lvesper

When enable_lvesper is enabled, it allows you to manually change the brightness of the flash, regardless of the level of illumination in the environment. This is useful when you need to take a photo in low light conditions or when you need to control the lighting to achieve a certain effect.

Camera.enable_mvesper

MVESPER is an acronym for Multi-View Elevation Super-Resolution. This technology allows for improved video detail, especially when shooting with low resolution and in limited light conditions.

Camera.cuttlefish_bone

Cuttlefish_bone is a feature in Google Camera that helps improve the image quality of photos taken in difficult lighting conditions. The purpose of the cuttlefish_bone function is to optimize the dynamic range and exposure in photos, especially when there are sharp differences in brightness between the foreground and the background. This often occurs in high-contrast scenes, such as shooting objects against a bright sky or with strong illumination.It helps to identify details in both glare and shadows, while maintaining a balanced exposure throughout the image.

Camera.cuttle.extended_iterable_burst

Perhaps camera.cuttle.extended_iterable_burst is a new feature related to the extended mode of the snapshot series

Сamera.nonzsl_frame_count

‘Camera. nonzsl_frame_count ‘on Google Camera refers to the number of frames taken without the use of ZSL (Zero Shutter Lag), a feature that allows photography almost instantly without shutter delays. However, when the ZSL function is turned off, as in the case of ‘camera.nonzsl_frame_count, the photos are taken without prior buffering. Each shot click creates a separate frame, and the ‘camera.nonzsl_frame_count ‘displays the total number of frames taken in this mode.

Nonzsl_base_frame_is_the_last

The “nonzsl_base_frame_is_the_last” parameter allows you to save the last shot without shutter delay as a base frame for processing subsequent shots, which can provide better stability and image quality under certain conditions.

ZSL_base_frame_is_the_last

In Google Camera, the “ZSL_base_frame_is_the_last” parameter indicates that the last frame before the shutter is triggered will be used as the base frame for the shutter zero delay mode. It helps provide the highest quality photo possible without significant delay.

Camera. nonzsl_extended_base_frame_selection

“Camera. nonzsl_extended_base_frame_selection” is a parameter associated with the main frame selection function in the Google Camera app. This feature allows you to improve the quality of photos captured in low light or in motion.

When the ZSL (Zero Shutter Lag) feature is turned on, the Google Camera app’s camera saves a number of previous frames with a delay before you press the shooting button. The app then selects the best frame from these pre-images to save.This avoids the blurring of the image caused by the movement of the object or camera being photographed.

However, in certain cases, such as under light, the ZSL function may not produce the desired result. In this case, the “camera.nonzsl_extended_base_frame_selection” parameter in the Google Camera application excludes frame selection from previous images and allows you to save the main frame received in real time. This can help improve the quality of images in low light or in motion.

Boba_threshold

When you set the value of boba_threshold, you determine how sharp or blurry the background in the photo will be.

Camera.enable_boba

Perhaps enable_boba is a parameter that refers to a function known as “bokeh portrait mode” or “background blur effect”. This feature allows you to create aesthetically attractive photos with background blur to focus attention on the subject of the image

Camera.ddepth_preference_override

The ‘camera.ddepth_preference_override ‘option on Google Camera allows the user to set a preference for depth of field. Some of the possible values of this option include “auto” (automatic preference), “fast” (fast preference), “high_quality” (high quality), “bokeh” (blurred background effect).

Camera.enable_cheetah

Some kind of another algorithm to speed up processing. Can be applied in Timelapse, or maybe in simple photos.

Camera.enable_coach

Enable_coach may offer recommendations on the following aspects of photography:

  1. Exposure: Advice for brightness and contrast to achieve a more balanced image exposure.
  2. Composition: Tips for framing and placing objects in a picture to create an aesthetically pleasing composition.
  3. Acute and focus: Advice to adjust sharpness and focus for clearer and more detailed images.
  4. Color Correction: Tips for customizing color balance, saturation, and shades to achieve more accurate color transfer in the photo.

Camera.coach.enable_pitch

Camera.coach.enable_pitch in Google Camera is a parameter that is responsible for activating the “Coach” function associated with the tilt level (pitch) of the camera when it is used. This feature offers the user assistance in leveling the frame horizontally to get more balanced and properly aligned photos.

Camera.coach.enable_up_down

When the camera.coach.enable_up_down is set to enable, the “Coach” function will offer the user tips and suggestions on how to better use the camera settings for different shooting conditions, including raising and lowering the camera.

Camera.coach.hint_motion

Camera.coach.hint_motion on Google Camera is a feature that provides guides and hints to the user while taking photos or recording videos. She works on the basis of computer vision algorithms to analyze movements in the frame and offer tips for improving the quality of the results.

Camera.coach.hint_ns

“Camera.coach.hint_ns” works on the basis of artificial intelligence and analyzes the current context of the shooting, including lighting conditions, frame composition, shutter speed, focus and other parameters. It then provides the user with recommendations for improving the shot, such as suggestions for changing exposure, using the HDR function, or changing the angle.

Camera.enable_taxi

Activates automatic focus (Off, Auto, On)

Camera.enable_vesper

Enable_vesper includes night mode functionality that allows you to get brighter and clearer photos in low light conditions or in total darkness. This feature uses a variety of techniques including multi-frame exposure, composite imaging, and image processing using intelligent algorithms. Enable_vesper can also include features such as automatic night mode detection and scene recognition

Camera.enable_zebras

When the “enable_zebras” function is activated, horizontal bars appear on the preview screen. These bands are typically displayed in areas where the brightness exceeds a certain threshold. Zebras help the photographer adjust the exposure to preserve the details in the areas with the most contrast.

Face_retouching_default_setting

It provides the ability for the user to adjust the degree of retouching in images, especially in relation to portrait shots. Retouching may include adjustments such as blemishes, skin smoothing, facial contours, etc.

Camera.face_db

Face_db allows you to store information about various features of the face, such as dimensions, shape, location of the main features of the face, and other details.

Camera.falcon_enabled

When the “falcon_enabled” setting is set to “true”, it means that an optimized image handler known as “Falcon” is used to process photos. “Falcon” is one of the options for image processors designed specifically for some devices.

The benefits of using “Falcon” include improved photo quality, improved color processing, improved clarity and image detail.This is due to better optimization and customization of image processing algorithms created specifically for specific devices.

However, for some devices, this handler may cause compatibility issues or not produce expected results. Therefore, if the “falcon_enabled” setting is set to “false”, then a normal image handler is used, which can better meet the requirements of the device.

Camera.falcon_power_hint

Falcon_power_hint is a feature used in the Google Camera app to optimize the power consumption and performance of the device during shooting. This feature allows the camera to inform the system when it needs high processor speed to process image data.

Camera.falcon_force_Fusion

When Falcon Force Fusion is activated in Google Camera, the camera automatically creates multiple exposures of a single frame with different light levels and then combines them into a single image. This allows you to get brighter and clearer photos, especially in low light conditions or with high contrast.

This image processing process uses complex algorithms that make a preliminary analysis of each frame and select the best elements from each image to create the final photo.The Falcon Force Fusion can also be used to eliminate flashing when shooting with artificial lighting and enhance detail when photographing fast moving objects.

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