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文件名称: TVDENOISE.m
  所属分类: 其它
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  文件大小: 3kb
  下载次数: 0
  上传时间: 2009-03-22
  提 供 者: biaog******
 详细说明: % u = TVDENOISE(f,lambda) denoises the input image f. The smaller % the parameter lambda, the stronger the denoising. % % The output u approximately minimizes the Rudin-Osher-Fatemi (ROF) % denoising model % % Min TV(u) + lambda/2 || f - u ||^2_2, % u % % where TV(u) is the total variation of u. If f is a color image (or any % array where size(f,3) > 1), the vectorial TV model is used, % % Min VTV(u) + lambda/2 || f - u ||^2_2. % u % % TVDENOISE(...,Tol) specifies the stopping toler ance (default 1e-2). % % The minimization is solved using Chambolle's method, % A. Chambolle, "An Algorithm for Total Variation Minimization and % Applications," J. Math. Imaging and Vision 20 (1-2): 89-97, 2004. % When f is a color image, the minimization is solved by a generalization % of Chambolle's method, % X. Bresson and T.F. Chan, "Fast Minimization of the Vectorial Total % Variation Norm and Applications to Color Image Processing", UCLA CAM % Report 07-25. % % Example: % f = double(imread('barbara-color.png'))/255; % f = f + randn(size(f))*16/255; % u = tvdenoise(f,12); % subplot(1,2,1); imshow(f); title Input % subplot(1,2,2); imshow(u); title Denoised % Pascal Getreuer 2007-2008 ...展开收缩
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