An image enhancement technique combining sharpening and noise reduction

被引：122

作者：

Russo, F ^{[1
]}

机构：

[1] Univ Trieste, Dipartimento Elettrotecn Elettron Informat, I-34127 Trieste, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2002年 / 51卷 / 04期

关键词：

fuzzy neural networks; image enhancement; image processing; nonlinear filters;

D O I：

10.1109/TIM.2002.803394

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new approach to contrast enhancement of image data is presented. The proposed method is based on a multiple-output system that adopts fuzzy models in order to prevent the noise increase during the sharpening of the image details. Key features of the proposed technique are better performance than available methods in the enhancement of images corrupted by Gaussian noise and no complicated tuning of fuzzy set parameters. In fact, the overall nonlinear behavior of the enhancement system is very easily controlled by one parameter only.

引用

页码：824 / 828

页数：5

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