 |
Conference papers
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 <>
Submitted on : Monday, October 20, 2008 - 7:27:22 PM
Last modification on : Wednesday, November 13, 2019 - 3:42:06 PM
Document(s) archivé(s) le : Monday, June 7, 2010 - 8:56:07 PM
Contributor : Olivier Lezoray <>
Submitted on : Monday, October 20, 2008 - 7:27:22 PM
Last modification on : Wednesday, November 13, 2019 - 3:42:06 PM
Document(s) archivé(s) le : Monday, June 7, 2010 - 8:56:07 PM
File
lezorayICPR2008_1_VF.pdf
Files produced by the author(s)
