Similarity based impulsive noise removal in color images

被引：0

作者：

Smolka, B ^{[1
]}

Plataniotis, KN ^{[1
]}

Lukac, R ^{[1
]}

Venetsanopoulos, AN ^{[1
]}

机构：

[1] Silesian Tech Univ, Dept Automat Control, Gliwice, Poland

来源：

2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

In this paper a novel approach to the problem of impulsive noise reduction in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter (VMF) and preserves better edges and fine image details. Simulation results show that the proposed method outperforms standard algorithms of the reduction of impulsive noise in color images.

引用

页码：105 / 108

页数：4

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