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Impulse Noise Removal by Spectral Clustering and Regularization on Graphs

Olivier Lezoray 1 Vinh Thong Ta 1 Abderrahim Elmoataz 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
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.
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Submitted on : Monday, October 20, 2008 - 7:27:22 PM
Last modification on : Tuesday, October 19, 2021 - 11:34:58 PM
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  • HAL Id : hal-00332401, version 1


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. ⟨hal-00332401⟩



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