# Overview of Cross-Component In-loop Filters in Video Coding Standards

arXiv: https://arxiv.org/abs/2607.12186 · HTML: https://mlsanity.com/paper/2607.12186/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 61 references that are in the map.
- First posted on arXiv 13 Jul 2026.

## Builds on (most cited first, 5 of 5)

- [Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising](https://mlsanity.com/paper/1608.03981/) (2016)
- [An Efficient QP Variable Convolutional Neural Network Based In-loop Filter for Intra Coding](https://mlsanity.com/paper/2012.15003/) (2020)
- [Sub-sampled Cross-component Prediction for Emerging Video Coding Standards](https://mlsanity.com/paper/2012.15067/) (2020)
- [Optimized Adaptive Loop Filter in Versatile Video Coding](https://mlsanity.com/paper/2607.05737/) (2026)
- [Deformable Wiener Filter for Future Video Coding](https://mlsanity.com/paper/2606.01576/) (2026)

## Abstract (arXiv)

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.