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Communication Dans Un Congrès Année : 2007

Parameterless discrete regularization on graphs for color image filtering

Résumé

A discrete regularization framework on graphs is proposed and studied for color image filtering purposes when images are represented by grid graphs. Image filtering is considered as a variational problem which consists in minimizing an appropriate energy function. In this paper, we propose a general discrete regularization framework defined on weighted graphs which can be seen as a discrete analogue of classical regularization theory. With this formulation, we propose a family of fast and simple anisotropic linear and nonlinear filters. The parameters of the proposed discrete regularization are estimated to have a parameterless filtering.
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Dates et versions

hal-00333522 , version 1 (23-10-2008)

Identifiants

Citer

Olivier Lezoray, Sébastien Bougleux, Abderrahim Elmoataz. Parameterless discrete regularization on graphs for color image filtering. 4th International Conference on Image Analysis and Recognition (ICIAR 2007), Aug 2007, Montreal, Canada. pp.46-57, ⟨10.1007/978-3-540-74260-9_5⟩. ⟨hal-00333522⟩
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