Two-step fuzzy logic-based method for impulse noise detection in colour images

被引：43

作者：

Camarena, Joan-Gerard ^{[1
]}

Gregori, Valentin ^{[1
]}

Morillas, Samuel ^{[1
]}

Sapena, Almanzor ^{[1
]}

机构：

[1] Univ Politecn Valencia, Inst Univ Matemat Pura & Aplicada, Valencia 46022, Spain

来源：

PATTERN RECOGNITION LETTERS | 2010年 / 31卷 / 13期

关键词：

Colour image filter; Fuzzy logic; Fuzzy metric; Impulse noise; PEER GROUPS; REMOVAL; FILTER; SUPPRESSION; REDUCTION; ALGORITHM;

D O I：

10.1016/j.patrec.2010.01.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a novel fuzzy noise detector based on a fuzzy metric specifically designed to detect impulses. The fuzzy detector is inspired on the recent rank-ordered differences (ROD) statistic. We propose a noise detection process performed in two steps followed by noise filtering using the vector median filter. Experimental results show that the method is among the best-performing methods for impulse noise reduction and computational analysis indicates that the method is pretty efficient. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1842 / 1849

页数：8

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