Abstract : In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral analysis is performed to identify noisy and noise free pixels. On the set of noise free pixels, a topology adapted graph regularization is performed. Experimental results show the benefits of the proposed approach regarding the standard VMF when noise proportion is high.
Type de document :
Communication dans un congrès
International Conference on Pattern Recognition, 2008, Tampa, United States. 2008
https://hal.archives-ouvertes.fr/hal-00332401
Contributeur : Olivier Lezoray
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Soumis le : lundi 20 octobre 2008 - 19:27:22
Dernière modification le : jeudi 8 novembre 2018 - 15:26:02
Document(s) archivé(s) le : lundi 7 juin 2010 - 20:56:07
Olivier Lezoray, Vinh Thong Ta, Abderrahim Elmoataz. Impulse Noise Removal by Spectral Clustering and Regularization on Graphs. International Conference on Pattern Recognition, 2008, Tampa, United States. 2008. 〈hal-00332401〉
