Fast adaptive similarity based impulsive noise reduction filter

被引：92

作者：

Smolka, B

Lukac, R

Chydzinski, A

Plataniotis, KN

Wojciechowski, W

机构：

[1] Silesian Tech Univ, Dept Automat Control Elect & Comp Sci, PL-44101 Gliwice, Poland

[2] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

[3] Polish Acad Sci, Inst Theoret & Appl Informat, PL-44100 Gliwice, Poland

来源：

REAL-TIME IMAGING | 2003年 / 9卷 / 04期

关键词：

Color image processing - Computational complexity - Computer simulation - Image enhancement - Spurious signal noise - Vectors;

D O I：

10.1016/j.rti.2003.09.015

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 address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：261 / 276

页数：16

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