A detection statistic for random-valued impulse noise

被引：196

作者：

Dong, Yiqiu ^{[1
]}

Chan, Raymond H.

Xu, Shufang

机构：

[1] Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China

[2] Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2007年 / 16卷 / 04期

基金：

中国国家自然科学基金;

关键词：

edge-preserving regularization; image denoising; noise detector; random-valued impulse noise;

D O I：

10.1109/TIP.2006.891348

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an image statistic for detecting random-valued impulse noise. By this statistic, we can identify most of the noisy pixels in the corrupted images. Combining it with an edge-preserving regularization, we obtain a powerful two-stage method for denoising random-valued impulse noise, even for noise levels as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

引用

页码：1112 / 1120

页数：9

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