AI 中文总结
本文概述视频编码标准中跨分量环路滤波器，介绍其起源、发展与现状，包括跨分量自适应环路滤波器和跨分量样本自适应偏移，旨在利用分量相关性减少压缩伪像，提供准确像素重建值，并对其未来发展进行讨论。
AI 中文摘要
在视频编码标准的发展过程中，由于环路滤波器具有显著的降噪能力，因此得到了广泛的研究。在视频编码的早期阶段，去块滤波器、样本自适应偏移和自适应环路滤波器等环路滤波器是针对每个分量单独执行的。最近，为了通过利用亮度和色度通道之间的相关性来提高色度保真度，人们对跨分量滤波器进行了研究。本文总结了最新视频编码标准中使用的跨分量滤波器。具体来说，它包括跨分量自适应环路滤波器和跨分量样本自适应偏移。跨分量滤波器旨在基于不同分量之间的相关性来减少压缩伪像，并提供更准确的像素重建值。在本文中，我们介绍了跨分量滤波器在当前视频编码标准中的起源、发展和现状。最后，我们对跨分量滤波器的进一步发展进行了一些讨论。
英文摘要
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.
CommentsThis paper was submitted and accepted by ZTE Communications
