通用视频编码中的优化自适应环路滤波器
Optimized Adaptive Loop Filter in Versatile Video Coding
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中文总结 AI 辅助
研究通用视频编码中自适应环路滤波器的优化，提出包含GALF和CCALF并行设计等的框架，相比VTM-8.0，能大幅减少图像缓冲区访问次数并节省时间，部分方法已被VVC参考软件采用。
中文摘要 AI 辅助
在通用视频编码（VVC）标准中，自适应环路滤波器（ALF），包括基于几何变换的自适应环路滤波器（GALF）和跨分量自适应环路滤波器（CCALF），在减少压缩伪像方面起着至关重要的作用。然而，它具有高编码复杂度，并且在编码器中需要多次图像缓冲区访问，这会增加外部内存访问，对软硬件设计不利。因此，我们提出了一个优化的ALF框架，包括GALF和CCALF的并行设计、GALF的自适应参数决策，以及通过有效估计CCALF滤波失真而无需进行滤波操作的单通道CCALF方案。与VTM-8.0相比，该方法可将图像缓冲区访问从152次减少到1次，并在RA配置下实现ALF模块约25%的时间节省，编码性能变化可忽略不计。部分提出的方法已被VVC参考软件采用。
英文摘要
In the Versatile Video Coding~(VVC) standard, adaptive loop filter~(ALF), including Geometry transformation-based Adaptive Loop Filter~(GALF) and Cross Component Adaptive Loop Filter~(CCALF), plays an essential role in reducing compression artifacts. However, it also has high coding complexity and requires many picture buffer accesses in the encoder that will increase external memory access and is unfriendly to the software and hardware design. Therefore, we propose an optimized ALF framework, including the parallel design of GALF and CCALF, the adaptive parameter decision of GALF, and one-pass CCALF scheme by effectively estimating the CCALF filtering distortion without conducting filter operation. Compared to VTM-8.0, the proposed method can reduce the picture buffer access from 152 to 1 and achieve roughly 25\% time-savings of the ALF module with negligible coding performance change under RA configuration. Some of the proposed methods have been adopted in the VVC reference software.
发表机构
- Institute of Digital Media（数字媒体研究所）
- Institute of Computing Technology（计算技术研究所）
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