总结视频编码中跨分量环内滤波技术的发展与应用
Overview of Cross-Component In-loop Filters in Video Coding Standards
- 利用亮度与色度通道的相关性，实现跨分量滤波
- 提升色度保真度，有效减少压缩伪影
- 适合视频编解码研究者与标准开发者参考
环内滤波在视频编码标准发展中受到广泛关注，因其显著的降噪能力。早期视频编码中，去块滤波、样本自适应偏移和自适应环路滤波等操作分别对各分量独立执行。近年来，为提升色度保真度，研究者开始探索跨分量滤波，利用亮度与色度通道间的相关性。本文系统梳理了当前主流视频编码标准中的跨分量滤波技术，主要包括跨分量自适应环路滤波（Cross-Component Adaptive Loop Filter）与跨分量样本自适应偏移（Cross-Component Sample Adaptive Offset）。这些滤波器基于不同分量间的相关性，降低压缩伪影，提供更精确的像素重建值。本文还回顾了跨分量滤波的起源、发展与现状，并对其未来演进方向进行了探讨。
原文摘要 · Abstract (English)
In-loop filters have been comprehensively explored during the development of video coding standards due to their remarkable noise-reduction capability. In the early stage of video coding, in-loop filters, such as Deblocking Filter, Sample Adaptive Offset, and Adaptive Loop Filter, were performed separately for each component. Recently, cross-component filters were studied to improve the chroma fidelity by exploiting correlations between the luma and chroma channels. This paper summarizes the cross-component filters used in the state-of-the-art video coding standard. Specifically, it includes the Cross-Component Adaptive Loop Filter and Cross-Component Sample Adaptive Offset. Cross-component filters aim to reduce compression artifacts based on the correlation between different components and provide more accurate pixel reconstruction values. In this paper, we introduce the origin, development, and status of cross-component filters in the current video coding standards. Finally, we had some discussions on the further evolutions of cross-component filters.
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