HEVC中的样本自适应偏移设计

A. Alshin, E. Alshina, Jeonghoon Park
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引用次数: 1

摘要

本文主要研究样本自适应偏移(SAO)。该技术最近被加入到高效视频编码(HEVC)标准中。SAO的概念是通过将区域样本分为多个类别,获得每个类别的偏移量,然后将偏移量添加到每个样本中,从而减少区域的样本失真,其中分类器索引和偏移量在比特流中进行编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sample Adaptive Offset Design in HEVC
This paper is devoted to Sample Adaptive Offset (SAO). This technique was recently added into High Efficiency Video Coding (HEVC) standard. The concept of SAO is to reduce sample distortion of a region by classifying the region samples into multiple categories, obtaining an offset for each category, and then adding the offset to each sample, where the classifier index and the offsets are coded in the bit stream.
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