Matlab：盲反卷积还原失焦图像

Matlab：盲反卷积还原失焦图像

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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:\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)