Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image processing. In a first aspect, a method of image capture includes determining a first exposure setting for a first array of light sensors of an image sensor; determining a second exposure setting for a second array of light sensors of the image sensor of a different type than the first array; capturing first image data with the first array of light sensors at the first exposure setting; and capturing second image data with the second array of light sensors at the second exposure setting. Other aspects and features are also claimed and described.

Abstract: Apparatus and methods employing a PDAF optical system are disclosed herein. An example apparatus includes an image sensor comprising a plurality of pixels. The plurality of pixels include a set of pixels configurable to be imaging pixels or focus pixels. The image sensor is configured to generate image data of a scene based on received light at the plurality of pixels. The example apparatus also includes a processor coupled to the image sensor. The processor may be configured to receive first image data of a first frame of the scene, determine at least one region of interest or region of non-interest of the first frame, select, based on the determined at least one region of interest or region of non-interest, a subset of the set of pixels to be focus pixels, and cause the selected subset of the set of pixels to operate as focus pixels.

Abstract: This disclosure provides systems, methods, and devices for image signal processing. In a first aspect, a method of image processing includes controlling an image sensor to capture image data for determining a standard dynamic range (SDR) representation of a scene, the image data comprising a first series of image frames captured with a first exposure level and a second series of image frames captured at a second exposure level. The SDR representation of the scene may be generated by determining a first output image frame based on at least a first image frame of the first series of image frames. Determining of an exposure level for the image sensor during the SDR image capture may be based on a second image frame of the second series of image frames captured by the image sensor in a multi-frame sensor configuration. Other aspects and features are also claimed and described.

Abstract: Systems and techniques are described herein for capturing images. For instance, a process can include obtaining a first image associated with a first exposure setting and obtaining a second image associated with a second exposure setting that is different from the first exposure setting. The process can include obtaining motion information associated with at least one of the first image and the second image and determining, based on the motion information, that motion associated with a first pixel of the first image exceeds a threshold. The process can include generating, based on the motion information, a fused image including a first set of pixels from the first image and a second set of pixels from the second image. The first set of pixels from the first image includes the first pixel based on the determination that the motion associated with the first pixel exceeds the threshold.

Abstract: Apparatus and methods employing a PDAF optical system are disclosed herein. An example apparatus includes an image sensor comprising a plurality of pixels. The plurality of pixels include a set of pixels configurable to be imaging pixels or focus pixels. The image sensor is configured to generate image data of a scene based on received light at the plurality of pixels. The example apparatus also includes a processor coupled to the image sensor. The processor may be configured to receive first image data of a first frame of the scene, determine at least one region of interest or region of non-interest of the first frame, select, based on the determined at least one region of interest or region of non-interest, a subset of the set of pixels to be focus pixels, and cause the selected subset of the set of pixels to operate as focus pixels.

Abstract: Apparatus and methods employing a PDAF optical system are disclosed herein. An example apparatus includes an image sensor comprising a plurality of pixels. The plurality of pixels include a set of pixels configurable to be imaging pixels or focus pixels. The image sensor is configured to generate image data of a scene based on received light at the plurality of pixels. The example apparatus also includes a processor coupled to the image sensor. The processor may be configured to receive first image data of a first frame of the scene, determine at least one region of interest or region of non-interest of the first frame, select, based on the determined at least one region of interest or region of non-interest, a subset of the set of pixels to be focus pixels, and cause the selected subset of the set of pixels to operate as focus pixels.

Abstract: In some aspects, a device may receive, from a pixel array of a camera, a first image. The device may configure, based at least in part on the first image, a setting of a filter. The filter may be included within a filter array that is arranged within the camera in association with the pixel array. The device may cause the pixel array to capture a second image. Numerous other aspects are described.

Abstract: Systems and methods for processing one or more images include determining one or more current exposure settings for a current image of a current scene at a current time. One or more motion characteristics associated with an image sensor are determined. Based on the one or more motion characteristics, a location of a portion of the current image to use for determining one or more future exposure settings for the image sensor are determined, the one or more future exposure settings for capturing a future image of a future scene at a future time, the future time being subsequent to the current time. The one or more future exposure settings are determined based on the predicted portion of the current image.

Abstract: Apparatus and methods employing a PDAF optical system are disclosed herein. An example apparatus includes an image sensor comprising a plurality of pixels. The plurality of pixels include a set of pixels configurable to be imaging pixels or focus pixels. The image sensor is configured to generate image data of a scene based on received light at the plurality of pixels. The example apparatus also includes a processor coupled to the image sensor. The processor may be configured to receive first image data of a first frame of the scene, determine at least one region of interest or region of non-interest of the first frame, select, based on the determined at least one region of interest or region of non-interest, a subset of the set of pixels to be focus pixels, and cause the selected subset of the set of pixels to operate as focus pixels.

Abstract: Pixel blocks of a user-generated print job raster page are clustered into raster color clusters, and pixel blocks of a corresponding scanned page are clustered into scanned color clusters. For each raster color cluster, if a color difference between the cluster and a corresponding scanned color cluster is greater than a threshold, color fading of the cluster is determined from simulated depletion of each colorant of a printing device, and a likely depleted colorant is determined based on the corresponding scanned color cluster and the determined color fading. A most likely depleted colorant is determined from the likely depleted colorant predicted for each raster color cluster for which the determined color difference is greater than the threshold.

Abstract: Methods, systems, and devices for image processing are described. A device may emit light from a light source and capture one or more images using an image sensor based on the emitted light. The device may emit light based on identifying a low lighting condition. The image sensor may include a set of non-phase detection pixels, a set of phase detection pixels, and a pixelated filter layer deposited over the set of non-phase detection pixels. The device may perform an autofocus operation based on an image offset associated with at least two phase detection pixels and the one or more images. Subsequently, the device may generate the one or more images based on the autofocus operation.

Abstract: Systems and methods for processing one or more images include determining one or more current exposure settings for a current image of a current scene at a current time. One or more motion characteristics associated with an image sensor are determined. Based on the one or more motion characteristics, a location of a portion of the current image to use for determining one or more future exposure settings for the image sensor are determined, the one or more future exposure settings for capturing a future image of a future scene at a future time, the future time being subsequent to the current time. The one or more future exposure settings are determined based on the predicted portion of the current image.

Abstract: Pixel blocks of a user-generated print job raster page are clustered into raster color clusters, and pixel blocks of a corresponding scanned page are clustered into scanned color clusters. For each raster color cluster, if a color difference between the cluster and a corresponding scanned color cluster is greater than a threshold, color fading of the cluster is determined from simulated depletion of each colorant of a printing device, and a likely depleted colorant is determined based on the corresponding scanned color cluster and the determined color fading. A most likely depleted colorant is determined from the likely depleted colorant predicted for each raster color cluster for which the determined color difference is greater than the threshold.

Abstract: In some examples, print quality diagnosis may include aligning corresponding characters between a scanned image of a printed physical medium aligned to a master image associated with generation of the printed physical medium to generate a common mask. Print quality diagnosis may further include determining, for each character of the scanned image, an average value associated with pixels within the common mask, and determining, for each corresponding character of the master image, the average value associated with pixels within the common mask. Further, print quality diagnosis may include determining, for each character of the common mask, a metric between the average values associated with the corresponding characters in the scanned and master images.

Abstract: In some examples, print quality diagnosis may include aligning corresponding characters between a scanned image of a printed physical medium aligned to a master image associated with generation of the printed physical medium to generate a common mask. Print quality diagnosis may further include determining, for each character of the scanned image, an average value associated with pixels within the common mask, and determining, for each corresponding character of the master image, the average value associated with pixels within the common mask. Further, print quality diagnosis may include determining, for each character of the common mask, a metric between the average values associated with the corresponding characters in the scanned and master images.

Abstract: In an example, a method is described that includes dividing an input image into a plurality of strips, where each strip is smaller than a whole of the input image. A plurality of binary images is then generated, where each of the binary images corresponds to one of the strips. Connected component labeling is performed on the binary images, one binary image at a time. An object map for the input image is then generated based on the results of the connected component labeling.

Abstract: In an example, a method is described that includes dividing an input image into a plurality of strips, where each strip is smaller than a whole of the input image. A plurality of binary images is then generated, where each of the binary images corresponds to one of the strips. Connected component labeling is performed on the binary images, one binary image at a time. An object map for the input image is then generated based on the results of the connected component labeling.