DocumentCode :
2779970
Title :
Fuzzy approach to contrast enhancement
Author :
Cheng, H.D. ; Xu, H.J.
Author_Institution :
Dept. of Comput. Sci., Utah State Univ., Logan, UT, USA
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1549
Abstract :
Commonly used techniques for contrast enhancement fall into two categories: (1) indirect methods and (2) direct methods. In this paper, we propose a novel, fuzzy, adaptive, direct contrast enhancement method based on the fuzzy entropy principle and fuzzy set theory. The proposed approach has much better adaptability and can determine the enhancement parameters automatically according to the nature of the image. The experimental results demonstrate that the proposed algorithm is very effective in contrast enhancement as well as in preventing over-enhancement
Keywords :
entropy; fuzzy set theory; image enhancement; enhancement parameters; fuzzy adaptive direct contrast enhancement method; fuzzy entropy principle; fuzzy set theory; Algorithm design and analysis; Brightness; Computer science; Entropy; Fuzzy set theory; Fuzzy sets; Image analysis; Image edge detection; Image processing; Optimized production technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.712004
Filename :
712004
Link To Document :
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