A Novel Image Denoising Algorithm Based on Dual-tree Complex Wavelets and Ridgelet Transform
These Our goal in this paper is to proposet a novel image denoising algorithm by incorporating the dual-tree complex wavelets into the ordinary ridgelet transform. The approximate shift invariant property of the dual-tree complex wavelet and the high directional sensitivity of the ridgelet transform make the new method a very good choice for image denoising. We apply the digital complex ridgelet transform to the denoising of some standard images embedded in white noise. A simple hard thresholding of the complex ridgelet coefficients is used. Experimental results show that the new algorithm is better than VisuShrink, the ordinary ridgelet image denoising, and wiener2 filter that is available in the Matlab Image Processing Toolbox. Complex ridgelets could be applied to curvelet image denoising as well.
Chen Bo Geng Zexun Yang Yang Wang Maolin
Institute of Surveying and Mapping, Information Engineering University of PLA No.66 Longhaizhong Roa Institute of Surveying and Mapping, Information Engineering University of PLA No.66 Longhaizhong Roa Guilin Air Force Academy
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）