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《Journal of Circuits and Systems》 2012-06
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Image de-noising based on complex contourlet transform and nonlinear diffusion

WU Yi-quan1,2,HOU Wen1,WU Shi-hua1(1.College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;2.Science and Technology on Electro-optic Control Laboratory,Luoyang 471009,China)  
An image de-noising method combining complex contourlet transform with nonlinear diffusion is proposed in this paper.Firstly,an image is decomposed by complex contourlet transform.Then adaptive-contrast-factor diffusion and total variation diffusion are applied to high-frequency component and low-frequency component,respectively.Finally the image is synthesized.The experimental results are given.Subjective-visual-quality comparisons of the image de-noising results are made with those of the image de-noising methods based on the combination of wavelet/contourlet/nonsubsampled contourlet with nonlinear diffusion,while the experimental results are evaluated quantitatively according to the evaluation items such as mean square error(MSE),peak signal to noise ratio(PSNR) and so on.Running time of the above-mentioned algorithms is also contrasted.It is shown that the proposed image de-noising methods based on complex contourlet transform and nonlinear diffusion can obtain superior results,which can both remove noise and preserve the original edges and textural features more efficiently.
【Fund】: 国家自然科学基金资助项目(60872065);; 光电控制技术重点实验室和航空科学基金联合资助项目(20105152026);; 南京大学计算机软件新技术国家重点实验室开放基金资助项目(KFKT2010B17)
【CateGory Index】: TP391.41
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