Variation音效

TV正则化对图像去噪。 matlab代码，导入图片直接可以运行。TV正则化对图像去噪。 matlab代码，导入图片直接可以运行

% 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 tolerance (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

ISSC2021_Session_35V_Adaptive Digital Techniques for Variation Tolerant Systems

参考了：https://github.com/jxgu1016/Total_Variation_Loss.pytorch 在此基础上增加了Conv操作版的。

3、如何创建variation.pdf

4、绑定variation.pdf

Barrier-free Affective Communication in MOOC Study by Analyzing Pupil Diameter Variation