Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest (ROI) automatic gain or exposure control are presented. In one example, a method includes receiving a first image from an image sensor captured with a first field of view (FOV) and comprising a first plurality of pixels, receiving a second image from the image sensor captured with a second FOV and comprising a second plurality of pixels, determining an ROI in the second image, the ROI comprising a subset of the second plurality of pixels in the second image, determining an ROI weight for the ROI in the second image, determining statistics based on the first plurality of pixels in the first image, the subset of the second plurality of pixels in the second image, and the ROI weight for the ROI in the second image, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest automatic gain or exposure control are presented. One example method includes receiving an image from an image sensor, the image comprising a plurality of pixels, determining a region of interest (“ROI”) in the image, the ROI comprising a subset of the plurality of pixels in the image, determining a ROI weight for pixels in the subset of the plurality of pixels, determining statistics for the image based on the plurality of pixels in the image and the ROI weight, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: Systems, methods, and non-transitory media are provided for automatic exposure control. An example method can include receiving pixel values captured by a photosensor pixel array (PPA) of an image sensor, wherein one or more pixel values from the pixel values correspond to one or more sensitivity-biased photosensor (SBP) pixels in the PPA and one or more saturated pixel values from the pixel values correspond to one or more other photosensor pixels in the PPA; determining, based on the one or more pixel values, an actual pixel value for the one or more pixel values and/or the one or more saturated pixel values; determining an adjustment factor for at least one of the pixel values based on the actual pixel value and a target exposure value; and based on the adjustment factor, correcting an exposure setting associated with the image sensor and/or at least one of the pixel values.

Abstract: Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.

Abstract: Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.

Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest automatic gain or exposure control are presented. One example method includes receiving an image from an image sensor, the image comprising a plurality of pixels, determining a region of interest (“ROI”) in the image, the ROI comprising a subset of the plurality of pixels in the image, determining a ROI weight for pixels in the subset of the plurality of pixels, determining statistics for the image based on the plurality of pixels in the image and the ROI weight, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: Methods, systems, and devices for image processing at a device are described. The present disclosure may relate to capturing a first frame of image samples and a second frame of image samples of an image sensor after capturing the first frame of image samples, determining that a white balance confidence level of the second frame does not satisfy a confidence threshold, retrieving the first frame of image samples based on determining that the white balance confidence level of the second frame does not satisfy the confidence threshold, combining at least a portion of the image samples of the first frame with the image samples of the second frame, and determining a white balance setting for the second frame based on combining at least the portion of the image samples of the first frame with the image samples of the second frame.

Abstract: Aspects of the present disclosure relate to systems and methods for performing automatic white balance (AWB). An example device may include a memory and a processor coupled to the memory. The processor may be configured to receive a first image of a scene, measure a first illuminant of the first received image, compare the first illuminant and a first illuminant value, determine the scene is changing between the first received image and a previous image based on the comparison, adjust a first AWB convergence rate to a second AWB convergence rate in response to determining the scene is changing, and converge from a first balancing factor to a second balancing factor for one or more white balance operations based on the second AWB convergence rate.

Abstract: Methods, systems, and devices for dual phase detection auto focus (PDAF) power optimization are described. A camera device may capture a frame including a pixel array representing a scene. In some examples, each pixel of the pixel array may be a phase detection (PD) pixel having one or more values, or one or more PD pixels positioned randomly across the pixel array. The camera device may identify a configuration of the pixel array, and determine a condition of the pixel array relative to the configuration. The configuration may be a binning configuration or a frame pattern configuration, and the condition may include an illumination condition related to the pixel array representing the scene. The camera device may determine and apply a reconfiguration to at least a portion of the pixel array based on the condition of the pixel array, and determine a lens position of the camera device therewith.

Abstract: In one implementation, an electronic visual-rendering device includes an eye-tracking sensor and at least a first component. The eye-tracking sensor is configured to detect an eye-close event and, in response, output an eye-close-event message. The first component is configured to operate in at least a normal-power mode and a first low-power mode. The first components is configured to transition from operating in the normal-power mode to operating in the first low-power mode in response to the eye-tracking sensor's output of the eye-close-event message.

Abstract: Methods, systems, and devices for dual phase detection auto focus (PDAF) power optimization are described. A camera device may capture a frame including a pixel array representing a scene. In some examples, each pixel of the pixel array may be a phase detection (PD) pixel having one or more values, or one or more PD pixels positioned randomly across the pixel array. The camera device may identify a configuration of the pixel array, and determine a condition of the pixel array relative to the configuration. The configuration may be a binning configuration or a frame pattern configuration, and the condition may include an illumination condition related to the pixel array representing the scene. The camera device may determine and apply a reconfiguration to at least a portion of the pixel array based on the condition of the pixel array, and determine a lens position of the camera device therewith.

Abstract: Aspects of the present disclosure relate to systems and methods for performing automatic white balance (AWB). An example device may include a memory and a processor coupled to the memory. The processor may be configured to receive a first image of a scene, measure a first illuminant of the first received image, compare the first illuminant and a first illuminant value, determine the scene is changing between the first received image and a previous image based on the comparison, adjust a first AWB convergence rate to a second AWB convergence rate in response to determining the scene is changing, and converge from a first balancing factor to a second balancing factor for one or more white balance operations based on the second AWB convergence rate.

Abstract: Methods, systems, and devices are described for processing Visual Light Communication (VLC) signals with a reduced number of pixels while maintaining a substantially complete field of view. One method may include receiving one or more VLC signals at an array of pixels and sampling their intensity. The sampling may comprise additively combining analog signals obtained from two or more pixels having like color to generate a plurality of combined VLC signal samples. The VLC signals may be decoded based on a plurality of the combined VLC signal samples.

Abstract: Methods and devices for camera initialization are disclosed. In some aspects, a device includes a first camera to capture one or more first image frames, a second camera to capture one or more second image frames, and a camera controller coupled to the first camera and the second camera. The camera controller is configured to initialize the first camera, to cause the second camera to capture one or more second image frames while initializing the first camera, to determine an initial capture setting for the first camera based on the one or more second image frames captured by the second camera, and to complete initialization of the first camera using the initial capture setting.

Abstract: A method of operating a device that includes an image sensor including a plurality of pixels includes: detecting visible light communication (VLC) signals with the image sensor; obtaining image data based on the VLC signals, the image data including a set of brightness components and possibly a set of chrominance components, and each brightness component of the set of brightness components being associated with a respective pixel of the plurality of pixels and (if available) each chrominance component of the set of chrominance components being associated with a respective pixel of the plurality of pixels; and decoding the set of brightness components to obtain information encoded in the VLC signals using a processor of the device without decoding, if available, the set of chrominance components.