Matlab:盲反卷积还原失焦图像
【摘要】 Matlab:盲反卷积还原失焦图像
目录
输出结果
实现代码
输出结果
实现代码
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% 盲反卷积还原失焦图像 %
% %
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I = imread('G:...
Matlab:盲反卷积还原失焦图像
目录
输出结果
实现代码
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 盲反卷积还原失焦图像 %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
I = imread('G:\BaiduNetdiskDownload\5.jpg');
I=rgb2gray(I)
PSF=fspecial('gaussian',7,30);
Blurred=imfilter(I,PSF,'symmetric','conv');
figure;imshow(Blurred);title('失焦图像'); UNDERPSF = ones(size(PSF)-4);
[J1 P1] = deconvblind(Blurred,UNDERPSF);
figure;imshow(J1);title('Deblurring with Undersized PSF'); OVERPSF = padarray(UNDERPSF,[4 4],'replicate','both');
[J2 P2] = deconvblind(Blurred,OVERPSF);
figure;imshow(J2);title('Deblurring with Oversized PSF'); INITPSF = padarray(UNDERPSF,[2 2],'replicate','both');
[J3 P3] = deconvblind(Blurred,INITPSF);
figure;imshow(J3);title('Deblurring with INITPSF'); figure;
subplot(221);imshow(P1,[],'InitialMagnification','fit');
title('重建 Undersized PSF');
subplot(222);imshow(P2,[],'InitialMagnification','fit');
title('重建 Oversized PSF');
subplot(223);imshow(P3,[],'InitialMagnification','fit');
title('重建 init PSF'); WEIGHT = edge(I,'sobel',.3);
se = strel('disk',2);
WEIGHT = 1-double(imdilate(WEIGHT,se)); WEIGHT([1:3 end-[0:2]],:) = 0;
WEIGHT(:,[1:3 end-[0:2]]) = 0;
figure;imshow(WEIGHT);title('Weight array');
[J P] = deconvblind(Blurred,INITPSF,30,[],WEIGHT);
figure;imshow(J);title('复原图像'); P1 = 2;
P2 = 2;
FUN = @(PSF) padarray(PSF(P1+1:end-P1,P2+1:end-P2),[P1 P2]); [JF PF] = deconvblind(Blurred,OVERPSF,30,[],WEIGHT,FUN);
figure;imshow(JF);title('复原图像'); displayEndOfDemoMessage(mfilename)
文章来源: yunyaniu.blog.csdn.net,作者:一个处女座的程序猿,版权归原作者所有,如需转载,请联系作者。
原文链接:yunyaniu.blog.csdn.net/article/details/80345551
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