Abstract: A device for camera processing is configured to receive a preview image, and determine if the preview image is a high dynamic range (HDR) scene based on brightness values of pixels of the preview image. The device may further determine to use a single frame image capture technique based on a determination that the preview image is not an HDR scene, and determine to use one of a plurality of HDR image capture techniques based on a determination that the preview image is an HDR scene, and further based on motion detected in the preview image. The device may then generate an output image using one or more images captured using the single frame image capture technique or one of the plurality of HDR image capture techniques.

Abstract: A device for camera processing is configured to receive a preview image, and determine if the preview image is a high dynamic range (HDR) scene based on brightness values of pixels of the preview image. The device may further determine to use a single frame image capture technique based on a determination that the preview image is not an HDR scene, and determine to use one of a plurality of HDR image capture techniques based on a determination that the preview image is an HDR scene, and further based on motion detected in the preview image. The device may then generate an output image using one or more images captured using the single frame image capture technique or one of the plurality of HDR image capture techniques.

Abstract: Aspects of the present disclosure relate to systems and methods for selectively processing tiles of a captured image. The captured image may be parsed into a plurality of tiles. A subset of the plurality of tiles may be selected based at least in part on at least one metric. The selected tiles may be processed according to a first technique, while each unselected tile may be selectively processed according to one or more techniques different from the first technique. The first technique and the one or more techniques may each be either an image demosaicing technique or an image denoising technique.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: Aspects of the present disclosure relate to systems and methods for selectively processing tiles of a captured image. The captured image may be parsed into a plurality of tiles. A subset of the plurality of tiles may be selected based at least in part on at least one metric. The selected tiles may be processed according to a first technique, while each unselected tile may be selectively processed according to one or more techniques different from the first technique. The first technique and the one or more techniques may each be either an image demosaicing technique or an image denoising technique.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: A system and method are disclosed for generating an overshoot-corrected set of edges of an input image. An example method includes, receiving an input image, and generating a coarse set of edge pixels based on the received input image For each given pixel in the coarse set of edge pixels, the example method includes identifying a first pixel of the input image that corresponds to the given pixel in the coarse set of edge pixels; and determining a modified edge pixel for the given pixel based at least in part on differences between the first pixel and one or more pixels of the input image that are located within a vicinity of the first pixel. The example method further includes generating an edge-enhanced version of the input image based at least in part on the modified edge pixels.

Abstract: Methods and apparatuses for image processing are disclosed. An example method may include receiving an image to be processed. The method may further include selecting a pixel of the image. The method may also include determining, for each of a plurality of directions through the selected pixel, a gradient in intensity based on the selected pixel and a set of one or more neighboring pixels along the corresponding direction. The method may further include determining, for each of the plurality of directions, if the set of one or more neighboring pixels is selected for adjusting the intensity of the selected pixel based on the corresponding determined gradient in intensity. The method may also include determining a noise reduction filter for the selected pixel based on the selected sets of one or more neighboring pixels. The method may further include applying the determined noise reduction filter to the selected pixel of the image.