# Deformable Wiener Filter for Future Video Coding

arXiv: https://arxiv.org/abs/2606.01576 · HTML: https://mlsanity.com/paper/2606.01576/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 60 references that are in the map.
- First posted on arXiv 1 Jun 2026.

## Builds on (most cited first, 1 of 1)

- [A Technical Overview of AV1](https://mlsanity.com/paper/2008.06091/) (2020)

## Built on by (most cited first, 1 of 1)

- [Overview of Cross-Component In-loop Filters in Video Coding Standards](https://mlsanity.com/paper/2607.12186/) (2026)

## Abstract (arXiv)

In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in Versatile Video Coding (VVC) mainly take advantage of the image local similarity. Although some non-local based in-loop filters can make up for this shortcoming, the widely-used unsupervised parameter estimation method by non-local filters limits the performance. In view of this, we propose a deformable Wiener Filter (DWF). It combines the local and non-local characteristics and supervisedly trains the filter coefficients based on the Wiener Filter theory. In the filtering process, local adjacent samples and non-local similar samples are first derived for each sample of interest. Then the to-be-filtered samples are classified into specific groups based on the patch level noise and sample-level characteristics. Samples in each group share the same filter coefficients. After that, the local and non-local reference samples are adaptively fused based on the classification results. Finally, the filtering operation with outlier data constraints is conducted for each to-be-filtered sample. Moreover, the performance of the proposed DWF is analyzed with different reference sample derivation schemes in detail. Simulation results show that the proposed approach achieves 1.16%, 1.92%, and 2.67% bit-rate savings on average compared to the VTM-11.0 for All Intra, Random Access, and Low-Delay B configurations, respectively.