DocumentCode :
2876465
Title :
Image enhancement based on adaptive and fuzzy complex contourlet transform
Author :
Hou, Wen ; Zhan, Bichao ; Wu, Yiquan ; Zhang, Cishen
Author_Institution :
Fac. of Eng. & Ind. Sci., Swinburne Univ. of Technol., Melbourne, VIC, Australia
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
2222
Lastpage :
2226
Abstract :
An image enhancement method based on adaptive and fuzzy complex contourlet transform is presented in this paper. Firstly, an image is decomposed by complex contourlet transform. Then adaptive nonlinear enhancement and fuzzy enhancement are applied to high-frequency and low-frequency coefficients, respectively. Finally the image is synthesized. The experimental results are given. It is shown that the proposed image enhancement method can obtain superior results, which can remove noise and highlight the original edges and textural features more effectively.
Keywords :
fuzzy set theory; image enhancement; transforms; adaptive complex contourlet transform; adaptive nonlinear enhancement; fuzzy complex contourlet transform; high-frequency coefficients; image enhancement method; low-frequency coefficients; Filter banks; Image edge detection; Image enhancement; Manganese; Noise; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119654
Filename :
6119654
Link To Document :
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