An image enhancement technique combining sharpening and noise reduction

Author

Russo, Fabrizio

Author_Institution

Dipt. di Elettrotecnica Elettronica Informatica, Trieste Univ., Italy

Volume

51

Issue

4

fYear

2002

fDate

8/1/2002 12:00:00 AM

Firstpage

824

Lastpage

828

Abstract

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.

Keywords

Gaussian noise; fuzzy neural nets; image enhancement; nonlinear filters; smoothing methods; Gaussian noise; contrast enhancement; fast algorithms; fuzzy models; fuzzy neural networks; image enhancement technique; image sharpening; multiple output system; noise reduction; nonlinear filters; weighted median unsharp masking; Control systems; Fuzzy sets; Fuzzy systems; Gaussian noise; Image enhancement; Image processing; Neural networks; Noise reduction; Nonlinear control systems; Nonlinear filters;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2002.803394

Filename

1044761