A noise-filtering method using a local information measure

被引：49

作者：

Beghdadi, A ^{[1
]}

Khellaf, A ^{[1
]}

机构：

[1] UNIV PARIS 05, CNAM, GRP ANAL IMAGES BIOL, F-75015 PARIS, FRANCE

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1997年 / 6卷 / 06期

关键词：

D O I：

10.1109/83.585237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A nonlinear-noise filtering method based on the entropy concept is developed and compared to the well-known median filter and to the center weighted median filter (CWM). The performance of the proposed method is evaluated through subjective and objective criteria. It is shown that this method performs better than the classical median for different types of noise and can perform better than the CWM filter in some cases.

引用

页码：879 / 882

页数：4

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