# Noisy image decomposition: a new structure, texture and noise model based on local adaptivity

arXiv: https://arxiv.org/abs/2411.08292 · HTML: https://mlsanity.com/paper/2411.08292/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 21 references that are in the map.
- First posted on arXiv 13 Nov 2024.

## Abstract (arXiv)

These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the case of noisy images because the textures are corrupted by noise. In this paper, we propose a new model which decomposes an image into three parts (structures, textures and noise) based on a local regularization scheme. We compare our results with the recent work of Aujol and Chambolle. We finish by giving another model which combines the advantages of the two previous ones.