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