Title :
An image enhancement technique combining sharpening and noise reduction
Author_Institution :
Dipt. di Elettrotecnica Elettronica Informatica, Trieste Univ., Italy
fDate :
8/1/2002 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2002.803394