Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.510
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.
Image denoising, Contourlet transform, CHMT
HongJun Li, ZhiMin Zhao, "Image Denoising Algorithm Based on Improved Filter in Contourlet Domain", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 499-503, doi:10.1109/CSIE.2009.510