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

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.

Domaines: Traitement des images [eess.IV]

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⟩