Abstract: Aspects presented herein relate to methods and devices for display processing including an apparatus, e.g., a DPU. The apparatus may receive at least one input image for a scaling operation, the at least one input image being associated with one or more scanning windows, each of the scanning windows including a plurality of pixels. The apparatus may also detect one or more features in the plurality of pixels in each of the one or more scanning windows. Further, the apparatus may adjust an amount of the plurality of pixels in each of the scanning windows for each of the detected features. The apparatus may also combine the adjusted amount of the plurality of pixels for each of the detected one or more features into a plurality of output pixels. The apparatus may also process each of the plurality of output pixels into at least one output image.

Abstract: Methods, systems, and devices implementing region of interest (ROI) histograms for display processing (e.g., for display adjustment) are described. A display processing component may determine a histogram based on the ROI (e.g., based on gray levels corresponding to pixels within a frame or image aspect ratio) by removing or otherwise not considering background filler (e.g., background, such as solid black color, that may be added by a device to fill a panel area when an image or frame aspect ratio is not equivalent to the display panel aspect ratio). Source pipe programming (e.g., display information read from a display hardware pipeline and ROI information read from a video or image pipeline) may be used for improved histogram determination or histogram modification. A histogram for processing block operations may therefore be determined based on (e.g., or modified to reflect) the ROI corresponding to the image or frame to be displayed.

Abstract: Systems and methods are provided for detecting sharpness among video fields. In certain implementations of the systems and methods, a plurality of video fields is received and a sharpness metric for each of the plurality of video fields is determined. The sharpness metric of a first video field is compared to the sharpness metric of a second video field among the plurality of video fields and a video field source of the first video field and the second video field is determined based on the comparison.