DocumentCode :
3188517
Title :
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
Link To Document :
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