DocumentCode :
2093815
Title :
An Improved Algorithm of Adaptive Fuzzy Image Enhancement
Author :
Chen, Dawei ; Qian, Ying
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
594
Lastpage :
598
Abstract :
Aiming at the limitation of the fuzzy neural network method for image enhancement presented by Dr. Russo, whose parameter was fixed and not flexible, a novel method of adaptive parameter selection was proposed in this paper. By calculating the difference between the gray value of each pixel and the median of its neighborhood, select adaptively smooth and sharp parameters. Compared with the method of Russo and others, experimental results show that the performance of the novel method is much better and makes the enhancement more detailed, and the complexity of the algorithm is obviously lower.
Keywords :
adaptive systems; computational complexity; fuzzy neural nets; image enhancement; adaptive fuzzy image enhancement; adaptive parameter selection; algorithm complexity; fuzzy neural network method; Computer networks; Computer science; Educational institutions; Fuzzy neural networks; Gaussian noise; Image enhancement; Pixel; Smoothing methods; Telecommunication computing; Wiener filter; fuzzy image enhancement; fuzzy neural networks. adaptive; sharpening; smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.180
Filename :
4731499
Link To Document :
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