Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity

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.

• Type: Journal
• Year: 2007
• Where: JMIV
• Authors: Jérôme Gilles
• Keywords: Image, Image Decomposition Algorithms, JMIV 2007, Textures