An image enhancement technique combining sharpening and noise reduction

Author

Russo, Fabrizio

Author_Institution

Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy

Volume

3

fYear

2001

fDate

2001

Firstpage

1921

Abstract

A new approach to contrast enhancement of image data is presented. The proposed method is based on a multiple-output recursive 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 classical 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; recursive filters; Gaussian noise corrupted images; Lena picture; MSE; contrast enhancement; fuzzy models; fuzzy neural nets; fuzzy set parameters; image enhancement technique; multiple-output recursive system; noise reduction; nonlinear filters; overall nonlinear behavior; sharpening; Control systems; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Gaussian noise; Image enhancement; Image processing; Noise reduction; Nonlinear control systems; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE

Conference_Location

Budapest

ISSN

1091-5281

Print_ISBN

0-7803-6646-8

Type

conf

DOI

10.1109/IMTC.2001.929535

Filename

929535