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Adaptive image denoising using anisotropic diffusion and nonlocal means filter
Fu Shujun 1 * #,Zhang Caiming 2
1.School of Mathematics, Shandong University
2.Key Lab of Digital Media Technology of Shandong Province, Shandong Economics University, Jinan 250061
*Correspondence author
#Submitted by
Subject:
Funding: the National Natural Science Foundation of China (No.60933008, 61070094, 61020106001), the China Postdoctoral Science Foundation(No.20090460089), the Natural Science Foundation of Shandong province of China(No.ZR2011FM020)
Opened online: 9 September 2011
Accepted by: none
Citation: Fu Shujun,Zhang Caiming.Adaptive image denoising using anisotropic diffusion and nonlocal means filter[OL]. [ 9 September 2011] http://en.paper.edu.cn/en_releasepaper/content/4441910
 
 
Adaptive processing integrating the anisotropic diffusion for image edge and detail, and the nonlocal means filter for texture is present in image denoising. Meanwhile, image sharpening is emphasized even if in a single denoising task. The two strategies of feature-dependent adaptive processing and image sharpening give better results compared with some related methods in experiments.
Keywords:Computer image processing; image denoising; image decomposition; anisotropic diffusion; nonlocal filter; adaptive method
 
 
 

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