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

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Abstract

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.

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  1. Centre d’Expertise Parisien, 16 bis, avenue Prieur de la Côte d’Or, 94114, Arcueil Cedex, France

    Jérôme Gilles

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  1. Jérôme Gilles
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Gilles, J. Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity. J Math Imaging Vis 28, 285–295 (2007). https://doi.org/10.1007/s10851-007-0020-y

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  • DOI: https://doi.org/10.1007/s10851-007-0020-y

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