Impulse Noise Removal by Spectral Clustering and Regularization on Graphs

被引：0
|
作者：
Lezoray, Olivier [1 ]
Ta, Vinh Thong [1 ]
Elmoataz, Abderrahim [1 ]
机构：
[1] Univ Caen Basse Normandie, GREYC, CNRS, UMR 6072, F-14050 Caen, France
来源：
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1183 / 1186
页数：4
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