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%function_2
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function C = recover(B, psf)
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% function C = recover(B, psf)
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% In input:
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% B, matrice dell’immagine sfocata
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% psf, matrice della PSF
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% In output:
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% C, matrice con l’immagine restaurata
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%RECOVER_GRADIENT
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[m,n,~]=size(B);
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% PSF "flippata", corrispondente alla moltiplicazione per % la matrice trasposta.
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psfr = psf(end:-1:1,end:-1:1);
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% Right hand side
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b = B;
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for j = 1 : size(b, 3)
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b(:,:,j) = conv2(B(:,:,j), psfr, 'same');
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end
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% Operatore lineare PSF * PSF come funzione inline
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function y = Op(x)
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V=reshape(x,m,n,3);
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for jj=1:3
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V(:,:,jj) = conv2(conv2(V(:,:,jj), psf, 'same'), psfr, 'same' );
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end
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y=reshape(V,m*n*3,1);
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end
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% Risolvo il sistema
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v=reshape(b,m*n*3,1);
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v=pcg(@Op, v, 1.e-10, 500);
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C=reshape(v,m,n,3);
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end
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