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2009 WRI World Congress on Computer Science and Information Engineering
Image Denoising Algorithm Based on Improved Filter in Contourlet Domain
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
In this paper we analyzed directional filter and pyramid filter in Contourlet transform, confirmed the different choices of filters directly affect the image denoising result, so we constructed a kind of compactly supported biorthogonal filter based on human visual Characteristics and applied it to image denoising. The new Contourlet transform algorithm can improve the result of image denoising, and the most important improvement is the great superiority shown by new Contourlet domain hidden markov tree (CHMT) algorithm in image denoising. The denoised images by using new CHMT algorithm have been improved on PSNR.
Index Terms:
Image denoising, Contourlet transform, CHMT
Citation:
HongJun Li, ZhiMin Zhao, "Image Denoising Algorithm Based on Improved Filter in Contourlet Domain," csie, vol. 6, pp.499-503, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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