DISPLAY MANAGEMENT WITH POSITION-VARYING ADAPTIVITY TO AMBIENT LIGHT AND/OR NON-DISPLAY-ORIGINATING SURFACE LIGHT

    公开(公告)号:US20240161706A1

    公开(公告)日:2024-05-16

    申请号:US18281845

    申请日:2022-05-12

    Inventor: Robert Wanat

    Abstract: Methods are disclosed for adaptive display management using one or more viewing environment parameters. Given the one or more viewing environment parameters, an effective luminance range for a target display, and an input image, a tone-mapped image is generated based on a tone-mapping curve, an original PQ luminance mapping function, and the effective luminance range of the display. Corrected PQ (PQ′) luminance mapping functions are generated according to the viewing environment parameters and, optionally, the transmissivity properties and reflectivity properties of the target display. PQ-to-PQ′ mappings are generated, where each corrected (PQ′) luminance mapping function is associated with a different set of viewing environment parameters and is associated with a different region of the display and where codewords in the original PQ luminance mapping function are mapped to codewords in the corrected (PQ′) luminance mapping functions, and an adjusted tone-mapped image is generated based on the PQ-to-PQ′ mappings.

    Perceptual dithering for HDR video and images

    公开(公告)号:US11277543B1

    公开(公告)日:2022-03-15

    申请号:US17319483

    申请日:2021-05-13

    Abstract: In a method for dithering image data, a processor receives an input image in a first color space and a first bit depth larger than 8 bits. The processor converts the input image into a first image in a perceptually uniform color space, such as the BT. 2100 ICtCp color space, with pixel values scaled to be within a target bit depth, it quantizes the first image to generate a quantized image, it generates an error image between the first image and the quantized image, and using a random threshold, it generates a dithered image based on the random threshold, the error image, and the quantized image, allowing to reduce the bit-depth representation for visually consistent reproduction by two bits.

    NEURAL NETWORKS FOR DYNAMIC RANGE CONVERSION AND DISPLAY MANAGEMENT OF IMAGES

    公开(公告)号:US20250095125A1

    公开(公告)日:2025-03-20

    申请号:US18291578

    申请日:2022-07-22

    Abstract: Methods and systems for dynamic range conversion and display mapping of standard dynamic range (SDR) images onto high dynamic range (HDR) displays are described. Given an SDR input image, a processor generates an intensity (luminance) image and optionally a base layer image and a detail layer image. A first neural network uses the intensity image to predict statistics of the SDR image in a higher dynamic range. These predicted statistics together with the original image statistics of the input image are used to derive an optimal tone-mapping curve to map the input SDR image onto an HDR display. Optionally, a second neural network, using the intensity image and the detail layer image, can generate a residual detail layer image in a higher dynamic range to enhance the tone-mapping of the base layer image into the higher dynamic range.

    ENCODING AND DECODING MULTIPLE-INTENT IMAGES AND VIDEO USING METADATA

    公开(公告)号:US20250054204A1

    公开(公告)日:2025-02-13

    申请号:US18696025

    申请日:2022-09-27

    Abstract: Systems and methods for encoding and decoding multiple-intent images and video using metadata. When encoding an image as a multiple-intent image, at least one appearance adjustment may be made to the image. Metadata characterizing the at least one appearance adjustment may be included in, or transmitted along with, the encoded multiple-intent image. When decoding a multiple-intent image, a system may obtain a selection of a desired rendering intent and, based on that selection, either render the multiple-intent image with the applied appearance adjustments or may use the metadata to invert the appearance adjustments and recover the image pre-appearance adjustments.

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