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
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;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119654