APPLYING MINIMUM AND AVERAGE DISTANCE CONSTRAINT IN VIDEO STREAMING

    公开(公告)号:US20240406461A1

    公开(公告)日:2024-12-05

    申请号:US18684098

    申请日:2022-08-14

    Abstract: Input images are received as input to a multi-node system. The input images are divided into segments assigned to respective nodes of the multi-node system. Primary and secondary scenes are identified in the segments to ensure compliance with minimum and average distance constraints. Scene-level forward reshaping mappings are generated for the scenes by a respective node for an assigned segment. Forward reshaped images in the segment are generated by the node using the forward reshaping mappings and encoded into an output video signal, which enables a recipient device to generate reconstructed images and to render display images derived from the reconstructed images on an image display.

    IMAGE ENHANCEMENT VIA GLOBAL AND LOCAL RESHAPING

    公开(公告)号:US20240095893A1

    公开(公告)日:2024-03-21

    申请号:US18262611

    申请日:2022-01-26

    CPC classification number: G06T5/007 G06V10/60 G06T2207/20208

    Abstract: A first reshaping mapping is performed on a first image represented in a first domain to generate a second image represented in a second domain. The first domain is of a first dynamic range different from a second dynamic range of which the second domain is. A second reshaping mapping is performed on the second image represented in the second domain to generate a third image represented in the first domain. The third image is perceptually different from the first image in at least one of: global contrast, global saturation, local contrast, local saturation, etc. A display image is derived from the third image and rendered on a display device.

    RESHAPING FUNCTIONS FOR HDR IMAGING WITH CONTINUITY AND REVERSIBILITY CONSTRAINTS

    公开(公告)号:US20230300381A1

    公开(公告)日:2023-09-21

    申请号:US17920384

    申请日:2021-04-20

    Inventor: Guan-Ming SU

    CPC classification number: H04N19/85 H04N19/182 H04N19/98

    Abstract: Methods and systems for generating a set of forward and backward reshaping functions for the efficient coding of high-dynamic range (HDR) images are provided. Given an initial set of forward reshaping functions, output forward reshaping functions are constructed by a) using the forward reshaping functions to generate a first set of corresponding backward reshaping functions b) generating a second set of backward reshaping functions using a multi-segment polynomial representation with a common set of pivot points c) generating an output set of backward reshaping functions by optimizing the polynomial representation of the second set of backward reshaping functions to minimize gap values between consecutive segments and d) using the output set of backward reshaping functions to generate the output set of forward reshaping functions by minimizing the distance between original input HDR codewords and reconstructed HDR codewords.

    LINEAR ENCODER FOR IMAGE/VIDEO PROCESSING

    公开(公告)号:US20210092461A1

    公开(公告)日:2021-03-25

    申请号:US16975096

    申请日:2019-02-28

    Abstract: In some embodiments, an encoder device is disclosed to receive an input video stream containing images in a first dynamic range including a first image. The device receives a second image representing the first image. The device obtains statistical data for the first and the second images. The device determines, at a first time delay, a scene cut data from the input video stream and storing the scene cut data in a first sliding window. The device determines, at a second time delay, a first smoothing mapping function based on a second sliding window and the determined scene cut data. The device determines, at a third time delay, a second smoothing mapping function based on a third sliding window and the determined scene cut data. The device generates, at the third time delay, a composer metadata for the first image based on the first and second smoothing mapping functions.

    Pre-Dithering in High Dynamic Range Video Coding
    9.
    发明申请
    Pre-Dithering in High Dynamic Range Video Coding 有权
    高动态范围视频编码中的预抖动

    公开(公告)号:US20160301934A1

    公开(公告)日:2016-10-13

    申请号:US15035551

    申请日:2014-11-10

    CPC classification number: H04N19/146 H04N19/117 H04N19/124 H04N19/30

    Abstract: An encoder receives an input enhanced dynamic range (EDR) image and a corresponding lower dynamic range (LDR) image to be coded at a given target rate. Before coding, a pre-dithering process is applied to the input LDR image to generate a dithered LDR image at a second bit depth, lower than its original bit depth. The pre-dithering process includes: generating uniformly-distributed noise, applying a spatial filter to the noise to generate low-pass or high-pass filtered noise, applying a temporal high pass or low pass filter to the spatially-filtered noise to generate output noise noise, adding the output noise to the input LDR image to generate a noise-enhanced LDR image, and quantizing the noise-enhanced image to generate the dithered LDR image. Selecting the characteristics of the dithering filters is based on both the target bit rate and luminance characteristics of the pixels in the input LDR image.

    Abstract translation: 编码器以给定的目标速率接收要编码的输入增强动态范围(EDR)图像和相应的较低动态范围(LDR)图像。 在编码之前,将预抖动处理应用于输入LDR图像,以在低于其原始位深度的第二位深度处产生抖动的LDR图像。 预抖动过程包括:产生均匀分布的噪声,对噪声施加空间滤波器以产生低通或高通滤波噪声,将时间高通或低通滤波器应用于空间滤波的噪声以产生输出 噪声噪声,将输出噪声添加到输入LDR图像以产生噪声增强的LDR图像,以及量化噪声增强图像以产生抖动的LDR图像。 选择抖动滤波器的特性基于输入LDR图像中的像素的目标比特率和亮度特性。

    ELECTRO-OPTICAL TRANSFER FUNCTION CONVERSION AND SIGNAL LEGALIZATION

    公开(公告)号:US20220295020A1

    公开(公告)日:2022-09-15

    申请号:US17630901

    申请日:2020-07-27

    Abstract: A device includes an electronic processor configured to define a first set of sample pixels from a set of sample pixels determined from received video data according to a first electro-optical transfer function (EOTF) in a first color representation of a first color space; convert the first set of sample pixels to a second EOTF via a mapping function, producing a second set of sample pixels according to the second EOTF; convert the first and second set of sample pixels from the first color representation to a second color representation of the first color space; determine a backward reshaping function by repeatedly applying and adjusting a sample backward reshaping function so as to minimize a difference between predicted pixel values obtained by applying the sample backward reshaping function to the pixels of the converted first set and the pixels of the converted second set.

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