Title :
A generalized image enhancement algorithm using fuzzy sets and its application
Author :
Peng, Dong-Liang ; Wu, Tie-Jun
Author_Institution :
Inst. of Intelligent Syst. & Decision Making, Zhejiang Univ., Hangzhou, China
Abstract :
The theory of fuzzy sets has been used to deal with image enhancement problems of some degraded images in which there are uncertainties and inaccuracies. For those kinds of images, good enhancement effect can be obtained using a fuzzy sets-based image enhancement method instead of the traditional image enhancement approaches. A generalized image enhancement algorithm using fuzzy sets is proposed based on the fuzzy enhancement algorithm. This new algorithm retains the advantages of the fuzzy enhancement and the gray level transformation, and therefore is suitable for handling the enhancement problems of images that have less gray levels and low contrast. Finally, a simulated example is given to demonstrate the validity of this enhancement method.
Keywords :
fuzzy set theory; image enhancement; iterative methods; degraded images; fuzzy sets; generalized image enhancement algorithm; gray level transformation; Cameras; Degradation; Filtration; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image enhancement; Optical distortion; Pixel; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174496