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Impulse Noise Removal by Spectral Clustering and Regularization on Graphs
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.
Cited literature [8 references]
https://hal.archives-ouvertes.fr/hal-00332401
Contributor : Olivier Lezoray Connect in order to contact the contributor
Submitted on : Monday, October 20, 2008 - 7:27:22 PM
Last modification on : Tuesday, October 19, 2021 - 11:34:58 PM
Long-term archiving on: : Monday, June 7, 2010 - 8:56:07 PM
Contributor : Olivier Lezoray Connect in order to contact the contributor
Submitted on : Monday, October 20, 2008 - 7:27:22 PM
Last modification on : Tuesday, October 19, 2021 - 11:34:58 PM
Long-term archiving on: : Monday, June 7, 2010 - 8:56:07 PM
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lezorayICPR2008_1_VF.pdf
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