81 lines
1.4 KiB
Matlab
81 lines
1.4 KiB
Matlab
close all;
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clear; clc;
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addpath /Users/maggicl/Git/matlab2tikz/src/;
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%% Load Default Img Data
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load('blur_data/B.mat');
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B=double(B);
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load('blur_data/A.mat');
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A=double(A);
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ciao = A;
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% Show Image
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figure
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im_l=min(min(B));
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im_u=max(max(B));
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imshow(B,[im_l,im_u])
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title('Blured Image')
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% Vectorize the image (row by row)
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b=B';
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b=b(:);
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AT = A * A';
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bt = A' * b;
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IL = ichol(AT, struct('type', 'nofill', 'diagcomp', 0.01));
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y = IL \ b;
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x0 = IL' \ y;
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[x, rvec] = myCG(AT, bt, x0, 200, 1e-6);
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[x2, ~, ~, ~, rvec2] = pcg(AT, bt, 1e-6, 200, IL, IL');
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figure;
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semilogy(rvec);
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hold on;
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semilogy(rvec2);
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hold off;
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title('Residual norms over iteration (y is log)')
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matlab2tikz('showInfo', false, '../res_log.tex');
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X = zeros(250, 250);
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for i = 0:249
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for j = 1:250
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X(i + 1, j) = x(i * 250 + j);
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end
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end
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figure;
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im_l=min(min(X));
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im_u=max(max(X));
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imshow(X,[im_l,im_u])
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title('Sharp Image (myCG)')
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matlab2tikz('showInfo', false, '../img_my.tex');
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X2 = zeros(250, 250);
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for i = 0:249
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for j = 1:250
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X2(i + 1, j) = x2(i * 250 + j);
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end
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end
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figure;
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im_l=min(min(X2));
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im_u=max(max(X2));
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imshow(X2,[im_l,im_u])
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title('Sharp Image (rcg)')
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matlab2tikz('showInfo', false, '../img_rcg.tex');
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%% Validate Test values
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load('test_data/A_test.mat');
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load('test_data/x_test_exact.mat');
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load('test_data/b_test.mat');
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%res=||x^*-A^{-1}b||
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res=x_test_exact-inv(A_test)*b_test;
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norm(res);
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%(Now do it with your CG and Matlab's PCG routine!!!)
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