A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images

被引：22

作者：

Ma, ZH ^{[1
]}

Feng, DG

Wu, HR

机构：

[1] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia

[2] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Hong Kong, Peoples R China

[3] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia

来源：

REAL-TIME IMAGING | 2005年 / 11卷 / 5-6期

关键词：

D O I：

10.1016/j.rti.2005.07.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new adaptive vector filter is proposed for impulse noise suppression and its relationship with the recent impulse reduction filters is investigated. The new filter detects outliers presented in the image through a novel neighborhood evaluation process, which significantly improves the accuracy of noise detection and detail preservation. The computational complexity of the new filter is very competitive. Its two parameters can be configured efficiently using online/offiine optimization processes. Extensive simulations indicated that the new filter outperforms other prior-art methods in suppressing impulse noise in natural color images. (c) 2005 Elsevier Ltd. All rights reserved.

引用

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页码：403 / 416

页数：14

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