regu_perceptual

PURPOSE ^

function [objetooverlapping,restaurada,lambdasoptimas]=regu_perceptual(Imobservada,b,lambdas,N,M,H,k1,k2,umbral,criterio_lambda,pinta);

SYNOPSIS ^

function [restaurada,lambdamedio]=regu_perceptual(Imobservada,b,lambdas,N,M,H,k1,k2,umbral,criterio_lambda,pinta);

DESCRIPTION ^

 function [objetooverlapping,restaurada,lambdasoptimas]=regu_perceptual(Imobservada,b,lambdas,N,M,H,k1,k2,umbral,criterio_lambda,pinta);

   Given an observed degraded image (given by 'K' and additive noise)
   it regularizes using the a penalization operator L and reguilarization parameter
   'lambdas'.
   N is the block size and M is the block size plus the boundary
   (in order to avoid boundary effects in the reconstruction.

     i.e.
     N=16;
     M=32;
     [H,k1,k2]=constantes2(fs,M);
     Nlambdas=70;
     lambdas=logspace(-2,2,Nlambdas);

     figure,[IrestPinv,lamboptPinv]=regu_perceptual(BlurredNoisy,PSF,lambdas ,N,M,H,k1,k2,umbral,2,1);

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 % function [objetooverlapping,restaurada,lambdasoptimas]=regu_perceptual(Imobservada,b,lambdas,N,M,H,k1,k2,umbral,criterio_lambda,pinta);
0002 %
0003 %   Given an observed degraded image (given by 'K' and additive noise)
0004 %   it regularizes using the a penalization operator L and reguilarization parameter
0005 %   'lambdas'.
0006 %   N is the block size and M is the block size plus the boundary
0007 %   (in order to avoid boundary effects in the reconstruction.
0008 %
0009 %     i.e.
0010 %     N=16;
0011 %     M=32;
0012 %     [H,k1,k2]=constantes2(fs,M);
0013 %     Nlambdas=70;
0014 %     lambdas=logspace(-2,2,Nlambdas);
0015 %
0016 %     figure,[IrestPinv,lamboptPinv]=regu_perceptual(BlurredNoisy,PSF,lambdas ,N,M,H,k1,k2,umbral,2,1);
0017 
0018 function [restaurada,lambdamedio]=regu_perceptual(Imobservada,b,lambdas,N,M,H,k1,k2,umbral,criterio_lambda,pinta);
0019 
0020 [fil,col]=size(Imobservada);
0021 
0022 nver = fil/N;
0023 nhor = col/N;
0024 
0025 objetoparaoverlapping = rand(nver*M,nhor*M);
0026 
0027 restaurada=rand([fil,col]);
0028 
0029 a=(M-N)/2;
0030 
0031 Im2=ampliaconborde(Imobservada,a);
0032 
0033 [fil2,col2]=size(Im2);
0034 
0035 nlamb=length(lambdas);
0036 
0037 B=freqz2(b,M,M);
0038 B=ifftshift(B);
0039 
0040 BB = abs(B).^2;
0041 Bconj = conj(B);
0042 
0043 energB = sum(sum(abs(B).^2));
0044 
0045 contadorfilas=0;
0046 
0047 valorlambda=0;
0048 
0049 lam=[];
0050 
0051 r=zeros(M);
0052 
0053 Nbloques = 30;
0054 
0055 rand('seed',1)
0056 filas = round(N/2 + rand(Nbloques,1)*(fil-N));
0057 rand('seed',1)
0058 columnas = round(N/2 + rand(Nbloques,1)*(col-N));
0059 
0060 lamb = 0;
0061 
0062 for i=1:Nbloques
0063 
0064    observado=Im2(filas(i)+a-M/2+1:filas(i)+a+M/2,columnas(i)+a-M/2+1:columnas(i)+a+M/2);
0065 
0066    r = r+ responsefourier(observado,M,H,k1,k2);
0067 
0068 end
0069 
0070 respuestamedia = r/Nbloques;
0071 
0072 maximo = max(max(respuestamedia));
0073 
0074 for i=N/2:N:fil
0075 
0076    contadorfilas = contadorfilas+1;
0077    contadorcolumnas = 0;
0078 
0079    for j=N/2:N:col
0080 
0081       contadorcolumnas = contadorcolumnas + 1;
0082 
0083       observado=Im2(i+a-M/2+1:i+a+M/2,j+a-M/2+1:j+a+M/2);
0084 
0085       F=costeinvrespfour(observado,M,H,k1,k2,maximo/umbral);
0086 
0087       [sol,lambd]=restaura_block(observado,B,F,M,N,lambdas,criterio_lambda);
0088 
0089       lam=[lam lambd];
0090 
0091       restaurada(i-N/2+1:i+N/2,j-N/2+1:j+N/2)=sol(a+1:a+N,a+1:a+N);
0092 
0093       if (pinta == true)
0094          figure(500),imshow(restaurada,[0 256],'notruesize'),pause(0.2);
0095       end
0096 
0097       objetoparaoverlapping((contadorfilas-1)*M+1:contadorfilas*M,(contadorcolumnas-1)*M+1:contadorcolumnas*M) = sol;
0098 
0099    end
0100 end
0101 
0102 lambdamedio = mean(lam);
0103 
0104 restaurada = do_overlap(objetoparaoverlapping,M,N,8);
0105

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