ADJUSTABLE TRADE-OFF BETWEEN QUALITY AND COMPUTATION COMPLEXITY IN VIDEO CODECS

    公开(公告)号:US20230171436A1

    公开(公告)日:2023-06-01

    申请号:US17768307

    申请日:2020-10-16

    摘要: A backward reshaping mapping table is initially generated as an inverse of a forward reshaping mapping table. The backward reshaping mapping table is updated by replacing the content-mapped luminance codewords with forward reshaped luminance codewords generated by applying a luminance forward mapping to the sampled luminance codewords. The luminance forward mapping is constructed from the forward reshaping mapping table. The backward reshaping mapping table and the luminance forward mapping are used to generate backward reshaping mappings for creating a reconstructed image from a forward reshaped image. The forward reshaped image is encoded, in a video signal, along with image metadata specifying the backward reshaping mappings. A recipient device of the video signal applies the backward reshaping mappings to the forward reshaped image to create the reconstructed image of the second dynamic range.

    Reducing banding artifacts in HDR imaging via adaptive SDR-to-HDR reshaping functions

    公开(公告)号:US11341624B2

    公开(公告)日:2022-05-24

    申请号:US17267369

    申请日:2019-08-07

    IPC分类号: G06T5/00

    摘要: Methods and systems for reducing banding artifacts when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of banding artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Separate banding alleviation algorithms are applied in the darks and highlights parts of the first dynamic range to generate a modified backward reshaping function, which when applied to the input image to generate the target image eliminates or reduces banding in the target image.

    Image Debanding Using Adaptive Sparse Filtering

    公开(公告)号:US20220076384A1

    公开(公告)日:2022-03-10

    申请号:US17415674

    申请日:2019-12-10

    IPC分类号: G06T5/00 G06T5/20 H04N19/86

    摘要: Methods and systems for reducing banding artifacts when displaying images are described. Identified image bands are filtered using an adaptive sparse finite response filter, where the tap-distance in the sparse filter is adapted according to an estimated width of each image band. Image debanding may be performed across multiple pixel orientations, such as rows, columns, a 45-degree angle, or a −45-degree angle. Given a threshold to decide whether sparse filtering needs to be performed or not, an iterative debanding process is also proposed.

    REDUCING BANDING ARTIFACTS IN HDR IMAGING VIA ADAPTIVE SDR-TO-HDR RESHAPING FUNCTIONS

    公开(公告)号:US20210350511A1

    公开(公告)日:2021-11-11

    申请号:US17267369

    申请日:2019-08-07

    IPC分类号: G06T5/00

    摘要: Methods and systems for reducing banding artifacts when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of banding artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Separate banding alleviation algorithms are applied in the darks and highlights parts of the first dynamic range to generate a modified backward reshaping function, which when applied to the input image to generate the target image eliminates or reduces banding in the target image.

    Systems and Methods for Rectifying Image Artifacts
    8.
    发明申请
    Systems and Methods for Rectifying Image Artifacts 有权
    整理图像伪像的系统和方法

    公开(公告)号:US20160125579A1

    公开(公告)日:2016-05-05

    申请号:US14929587

    申请日:2015-11-02

    IPC分类号: G06T5/00 G06T5/20

    摘要: A sparse FIR filter can be used to process an image in order to rectify imaging artifacts. In a first example application, the sparse FIR filter is applied as a selective sparse FIR filter that examines a set of selected neighboring pixels of an original pixel in order to identify smooth areas of the image and to selectively apply filtering to only the smooth areas of the image. The parameters of selective filtering are selected based on the characteristics of an inter-layer predictor. In a second example application, the sparse FIR filter is applied as an edge aware selective sparse FIR filter that examines additional neighboring pixels to the set of selected pixels in order to identify edges and carry out selective filtering of smooth areas of the image. Examples for detecting and removing banding artifacts during the coding of high-dynamic range images are provided.

    摘要翻译: 可以使用稀疏FIR滤波器来处理图像,以纠正成像伪像。 在第一示例性应用中,稀疏FIR滤波器被应用为选择性稀疏FIR滤波器,其检查原始像素的所选相邻像素的集合,以便识别图像的平滑区域并且仅选择性地将滤波应用于仅平滑区域的平滑区域 图片。 选择性滤波的参数是根据层间预测因子的特征来选择的。 在第二示例应用中,稀疏FIR滤波器被应用为边缘识别选择性稀疏FIR滤波器,其检查所选择的像素集合中的附加相邻像素,以便识别边缘并对图像的平滑区域进行选择性滤波。 提供了在高动态范围图像的编码期间检测和去除条带伪像的示例。

    Tensor-product b-spline predictor

    公开(公告)号:US11962760B2

    公开(公告)日:2024-04-16

    申请号:US17764394

    申请日:2020-09-29

    摘要: A set of tensor-product B-Spline (TPB) basis functions is determined. A set of selected TPB prediction parameters to be used with the set of TPB basis functions for generating predicted image data in mapped images from source image data in source images of a source color grade is generated. The set of selected TPB prediction parameters is generated by minimizing differences between the predicted image data in the mapped images and reference image data in reference images of a reference color grade. The reference images correspond to the source images and depict same visual content as depicted by the source images. The set of selected TPB prediction parameters is encoded in a video signal as a part of image metadata along with the source image data in the source images. The mapped images are caused to be reconstructed and rendered with a recipient device of the video signal.

    Adjustable trade-off between quality and computation complexity in video codecs

    公开(公告)号:US11818400B2

    公开(公告)日:2023-11-14

    申请号:US17768307

    申请日:2020-10-16

    摘要: A backward reshaping mapping table is initially generated as an inverse of a forward reshaping mapping table. The backward reshaping mapping table is updated by replacing the content-mapped luminance codewords with forward reshaped luminance codewords generated by applying a luminance forward mapping to the sampled luminance codewords. The luminance forward mapping is constructed from the forward reshaping mapping table. The backward reshaping mapping table and the luminance forward mapping are used to generate backward reshaping mappings for creating a reconstructed image from a forward reshaped image. The forward reshaped image is encoded, in a video signal, along with image metadata specifying the backward reshaping mappings. A recipient device of the video signal applies the backward reshaping mappings to the forward reshaped image to create the reconstructed image of the second dynamic range.