Layer decomposition in hierarchical VDR coding
    31.
    发明授权
    Layer decomposition in hierarchical VDR coding 有权
    分层VDR编码中的层分解

    公开(公告)号:US09497456B2

    公开(公告)日:2016-11-15

    申请号:US14351647

    申请日:2012-11-01

    Abstract: Techniques use multiple lower bit depth codecs to provide higher bit depth, high dynamic range, images from an upstream device to a downstream device. A base layer and one or more enhancement layers may be used to carry video signals, 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编解码器来提供更高的位深度,高动态范围,从上游设备到下游设备的图像。 基本层和一个或多个增强层可用于承载视频信号,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。

    Quantization Control for Variable Bit Depth
    32.
    发明申请
    Quantization Control for Variable Bit Depth 有权
    可变位深度的量化控制

    公开(公告)号:US20150208071A1

    公开(公告)日:2015-07-23

    申请号:US14666595

    申请日:2015-03-24

    CPC classification number: H04N19/124 H04N19/126 H04N19/184 H04N19/61

    Abstract: The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i.e., the same QP).

    Abstract translation: 量化参数QP在数字视频压缩中是众所周知的,作为图像质量的指示。 表示运动图像的数字符号用量化步骤进行量化,该量化步骤是量化参数QP的函数QSN,QSN已被归一化为数字符号的比特深度的最高有效位。 结果,给定QP的效果基本上与比特深度无关,特定的QP值对图像质量具有标准影响,而不考虑比特深度。 本发明例如在不同比特深度的编码和解码中是有用的,以产生具有不同比特深度的兼容的比特流,并且通过以相同的保真度来压缩每个视频信号的不同分量,从而允许不同的比特深度(即, 相同的QP)。

    Quantization control for variable bit depth

    公开(公告)号:US08615041B1

    公开(公告)日:2013-12-24

    申请号:US14017618

    申请日:2013-09-04

    CPC classification number: H04N19/124 H04N19/126 H04N19/184 H04N19/61

    Abstract: The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i.e., the same QP).

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