DocumentCode
2481378
Title
Impulse noise removal by spectral clustering and regularization on graphs
Author
Lezoray, Olivier ; Ta, Vinh Thong ; Elmoataz, Abderrahim
Author_Institution
GREYC UMR CNRS 6072, Univ. de Caen Basse-Normandie, Caen
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
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.
Keywords
graph theory; image denoising; impulse noise; pattern clustering; spectral analysis; image impulse noise removal; noise free pixel; spectral graph clustering; topology adapted graph regularization; Computational efficiency; Filtering; Filters; Graph theory; Image restoration; Image sensors; Noise reduction; Pixel; Spectral analysis; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761401
Filename
4761401
Link To Document