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

页码：1183 / 1186

页数：4