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

Autor:	Gilles, Jerome
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing Mathematics - Functional Analysis
Zdroj:	Journal of Mathematical Imaging and Vision (JMIV), Vol.28, No.3, 285-295, 2007
Druh dokumentu:	Working Paper
DOI:	10.1007/s10851-007-0020-y
Popis:	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. Comment: arXiv admin note: text overlap with arXiv:2411.05265
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2411.08292 Zobrazit plný text záznamu View this record from Arxiv