DocumentCode :
2286686
Title :
An improved fuzzy image enhancement by adaptive parameter selection
Author :
Kam, Yvonne ; Hanmandlu, M.
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
Volume :
2
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
2001
Abstract :
An effective method for contrast enhancement in an image was presented by Russo, which was controlled by the trial-and-error tuning of one parameter. The same parameter was used for the entire image resulting in over blurring or sharpening of features in some parts of the image. In this paper, we apply Russo´s algorithm on impulse noise and propose an efficient method for obtaining the parameter value adaptively. Each pixel location is adaptively assigned a different parameter value by evaluating the local features. Results of the proposed method are compared with those of Russo´s original method and with results of other methods for sharpening of image features. Experimental results have shown that the proposed approach has improved Russo´s work and performs better than other techniques for the enhancement of images corrupted with impulse noise.
Keywords :
adaptive estimation; fuzzy logic; image denoising; image enhancement; impulse noise; smoothing methods; Russo´s algorithm; adaptive parameter selection; fuzzy image enhancement; impulse noise; pixel location; trial-and-error tuning; Data mining; Feature extraction; Fuzzy logic; Fuzzy reasoning; Image edge detection; Image enhancement; Image recognition; Nonlinear filters; Object recognition; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244706
Filename :
1244706
Link To Document :
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