Fast detection and removal of impulsive noise using peer groups and fuzzy metrics

被引：67

作者：

Camarena, Joan-Gerard ^{[1
]}

Gregori, Valentin ^{[1
]}

Morillas, Samuel ^{[1
]}

Sapena, Almanzor ^{[1
]}

机构：

[1] Univ Politecn Valencia, EPS Gandia, Valencia 46730, Spain

来源：

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2008年 / 19卷 / 01期

关键词：

color image filter; fuzzy metric; non-linear vector filter; peer group; vector median filter;

D O I：

10.1016/j.jvcir.2007.04.003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel approach to impulsive noise detection in color images is introduced. In the paper, the peer group concept is redefined by means of a certain fuzzy metric. This concept is employed for the fast detection of noisy pixels by taking advantage of the fuzzy metric properties. On the basis of the noisy pixel detection a switching filter between the arithmetic mean filter (AMF) and the identity operation is proposed. The proposed switching filter achieves a trade-off between noise suppression and signal-detail preservation and is faster than recently introduced switching filters based on the peer group concept. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：20 / 29

页数：10

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