跳过对叠加到相关预测误差的类脉冲噪声的变换,以改善屏幕内容的编码

M. Narroschke
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引用次数: 0

摘要

对于屏幕内容的编码,多功能视频编码(VVC)采用混合编码,先对预测误差进行预测,然后对预测误差进行分块编码。对预测误差高度相关的块进行变换编码。变换降低了相关性,从而降低了数据速率。在屏幕内容的情况下,通常会出现类似脉冲的预测错误,这些错误仅显示出边缘相关性或没有相关性。具有这种脉冲样噪声的块直接编码而不进行变换,因为变换会在系数之间产生统计依赖性,从而导致数据速率增加。由于要编码的内容通常不与预测误差编码的块结构对齐,也会出现相关预测误差被脉冲叠加的情况。在这些情况下,这两种编码都不是有效的。变换编码对于类脉冲噪声是低效的,直接编码对于相关预测误差是低效的。为了克服这一缺点,本文首先从相关预测误差中分离出叠加的类脉冲噪声。分离后的类脉冲噪声不经变换直接进行有效编码,相关预测误差利用变换进行有效编码。使用VVC参考实现VTM-9.3的实验显示,在相同的PSNR下,根据序列的不同,平均数据速率降低高达1.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Skipping the transform for impulse-like noise superposed to correlated prediction errors to improve the coding of screen content
For the coding of screen content, Versatile Video Coding, VVC, uses hybrid coding applying prediction and sub-sequent block-wise coding of the prediction error. Blocks with highly correlated prediction errors are transform coded. The transform reduces the correlation and thus the data rate. In the case of screen content, impulse-like prediction errors often occur, which show only marginal or no correlation. Blocks with this impulse-like noise are coded directly without a transform as the transform would generate statistical dependencies between the coefficients and thus would lead to increased data rate. As the content to be coded is typically not aligned with the block structure of the prediction error coding, also situations occur, in which the correlated prediction errors are superposed by impulses. In these situations, none of the two codings is efficient. Transform coding is inefficient for the impulse-like noise and the direct coding is inefficient for the correlated prediction errors. In order to overcome this drawback in this paper, the superposed impulse-like noise is first separated from the correlated prediction errors. After separation, the impulse-like noise is efficiently coded directly without a transform and the correlated prediction errors are coded efficiently by the use of the transform. Experiments using the VVC reference implementation VTM-9.3 show average data rate reductions at the same PSNR of up to 1.6% depending on the sequence.
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