Fuzzy random impulse noise reduction method

被引：89

作者：

Schulte, Stefan ^{[1
]}

De Witte, Valerie ^{[1
]}

Nachtegael, Mike ^{[1
]}

Van der Weken, Dietrich ^{[1
]}

Kerre, Etienne E. ^{[1
]}

机构：

[1] Univ Ghent, Dept Appl Math & Comp Sci, Fuzziness & Uncertainty Modelling Res Unit, B-9000 Ghent, Belgium

来源：

FUZZY SETS AND SYSTEMS | 2007年 / 158卷 / 03期

关键词：

fuzzy filter; impulse noise; image restoration; alpha-stable noise;

D O I：

10.1016/j.fss.2006.10.010

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A new two-step fuzzy filter that adopts a fuzzy logic approach for the enhancement of images corrupted with impulse noise is presented in this paper. The filtering method (entitled as Fuzzy Random Impulse Noise Reduction method (FRINR)) consists of a fuzzy detection mechanism and a fuzzy filtering method to remove (random-valued) impulse noise from corrupted images. Based on the criteria of peak-signal-to-noise-ratio (PSNR) and subjective evaluations we have found experimentally, that the proposed method provides a significant improvement on other state-of-the-art methods. (c) 2006 Elsevier B.V All rights reserved.

引用

页码：270 / 283

页数：14

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