UP-CONVERSION TO CONTENT ADAPTIVE PERCEPTUAL QUANTIZATION VIDEO SIGNALS

    公开(公告)号:US20190104309A1

    公开(公告)日:2019-04-04

    申请号:US16139965

    申请日:2018-09-24

    Abstract: Input minimal noise levels of are computed over input codeword bins based on image content in input images of an input bit depth. The minimal noise levels are adjusted to generate approximated minimal noise levels of a higher bit depth. The approximated minimal noise levels are used to generate per-bin bit depths over the input codeword bins. The input codeword bins are classified into first codeword bins that have relatively high risks of banding artifacts and some other input codeword bins that have relatively low or zero risks of banding artifacts based on the per-bin bit depths. Portions of bit depths from the other input codeword bins are moved to the first input codeword bins to generate modified per-bin bit depths. A forward reshaping function constructed from the modified per-bin bit depths is used to reshape the input images into reshaped images used to generate output images.

    LOW-COMPLEXITY LOOKUP TABLE CONSTRUCTION WITH REDUCED INTERPOLATION ERROR

    公开(公告)号:US20180332296A1

    公开(公告)日:2018-11-15

    申请号:US15773525

    申请日:2016-12-07

    Abstract: In a method to reconstruct a high dynamic range video signal, a decoder receives parameters in the input bitstream to generate a prediction function. Using the prediction function, it generates a first set of nodes for a first prediction lookup table, wherein each node is characterized by an input node value and an output node value.Then, it modifies the output node values of one or more of the first set of nodes to generate a second set of nodes for a second prediction lookup table, and generates output prediction values using the second lookup table. Low-complexity methods to modify the output node value of a current node in the first set of nodes based on computing modified slopes between the current node and nodes surrounding the current node are presented.

    SELF-ADAPTIVE PREDICTION METHOD FOR MULTI-LAYER CODEC

    公开(公告)号:US20170214924A1

    公开(公告)日:2017-07-27

    申请号:US15329550

    申请日:2015-09-08

    Inventor: Guan-Ming SU

    Abstract: Relatively low dynamic range images or image partitions are converted into relatively high dynamic range images or image partitions that comprise reconstructed pixel values having a higher dynamic range than pixel values of the relatively low dynamic range images. Information relating to reconstructed pixel values of the relatively high dynamic range images and pixel values of the relatively low dynamic range images is collected. Prediction parameters are derived from the collected information. A predicted image or image partition is predicted from a relatively low dynamic range image or image partition based on the prediction parameters and comprises predicted pixel values having the higher dynamic range than pixel values of the relatively low dynamic range image orimage partition.

    Layer Decomposition in Hierarchical VDR Coding
    79.
    发明申请
    Layer Decomposition in Hierarchical VDR Coding 有权
    层次分解VDR编码中的层分解

    公开(公告)号:US20170019670A1

    公开(公告)日:2017-01-19

    申请号:US15280822

    申请日:2016-09-29

    Abstract: Techniques use multiple lower bit depth (e.g., 8 bits) codecs to provide higher bit depth (e.g., 12+ bits) high dynamic range images from an upstream device to a downstream device. Multiple layers comprising a base layer and one or more enhancement layers may be used to carry video signals comprising image data compressed by lower bit depth encoders to a downstream device, wherein the base layer cannot be decoded and viewed on its own. Lower bit depth input image data to base layer processing may be generated from higher bit depth high dynamic range input image data via advanced quantization to minimize the volume of image data to be carried by enhancement layer video signals. The image data in the enhancement layer video signals may comprise residual values, quantization parameters, and mapping parameters based in part on a prediction method corresponding to a specific method used in the advanced quantization. Adaptive dynamic range adaptation techniques take into consideration special transition effects, such as fade-in and fade-outs, for improved coding performance.

    Abstract translation: 技术使用多个较低位深度(例如,8位)编解码器来从上游设备向下游设备提供较高的比特深度(例如,12+比特)高动态范围图像。 包括基层和一个或多个增强层的多层可以用于将包括由下位深度编码器压缩的图像数据的视频信号携带到下游设备,其中基本层不能自己解码和观看。 低位深度输入图像数据到基层处理可以通过高级量化从较高位深度高动态范围输入图像数据生成,以最小化由增强层视频信号承载的图像数据的体积。 增强层视频信号中的图像数据可以部分地基于对应于高级量化中使用的特定方法的预测方法而包括残差值,量化参数和映射参数。 自适应动态范围适应技术考虑到特殊的过渡效应,如淡入和淡出,以提高编码性能。

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