regu_modelo_ar4

PURPOSE ^

function [rest]=regu_modelo_ar4(Imobservada,b,lambdas,N,M,criterio_lambda,pinta);

SYNOPSIS ^

function [restaurada]=regu_modelo_ar4(Imobservada,b,lambdas,N,M,criterio_lambda,pinta);

DESCRIPTION ^

 function [rest]=regu_modelo_ar4(Imobservada,b,lambdas,N,M,criterio_lambda,pinta);

   Given an observed degraded image (given by a PSF and additive noise)
   it regularizes the using Wiener, from the spectrum estimation
   modeling the signal using an autorregresive model.

      EXAMPLE

      [Irest_AR4]=regu_modelo_ar4(BlurredNoisy,PSF,lambdas,N,M,criterio_lambda,pinta);

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 % function [rest]=regu_modelo_ar4(Imobservada,b,lambdas,N,M,criterio_lambda,pinta);
0002 %
0003 %   Given an observed degraded image (given by a PSF and additive noise)
0004 %   it regularizes the using Wiener, from the spectrum estimation
0005 %   modeling the signal using an autorregresive model.
0006 %
0007 %      EXAMPLE
0008 %
0009 %      [Irest_AR4]=regu_modelo_ar4(BlurredNoisy,PSF,lambdas,N,M,criterio_lambda,pinta);
0010 %
0011 
0012 function [restaurada]=regu_modelo_ar4(Imobservada,b,lambdas,N,M,criterio_lambda,pinta);
0013 
0014 [dummy,noiseest]=wiener2(Imobservada,[3 3]);
0015 
0016 [fil,col]=size(Imobservada);
0017 
0018 nver = fil/N;
0019 nhor = col/N;
0020 
0021 objetoparaoverlapping = rand(nver*M,nhor*M);
0022 
0023 restaurada=rand([fil,col]);
0024 
0025 a=(M-N)/2;
0026 
0027 Im2 = ampliaconborde(Imobservada,a);
0028 
0029 nlamb=length(lambdas);
0030 
0031 %lambdasoptimas=restaurada;
0032 
0033 % Blurring operator in the Fourier domain
0034 
0035 B=freqz2(b,M,M);
0036 
0037 B=ifftshift(B);
0038 
0039 contadorfilas=0;
0040 
0041 for i=N/2:N:fil
0042    %fprintf('\nFila %d : ',i)
0043    contadorfilas = contadorfilas+1;
0044    contadorcolumnas = 0;
0045 
0046    for j=N/2:N:col
0047       %fprintf('%d, ',j)
0048       contadorcolumnas = contadorcolumnas + 1;
0049 
0050       observado=Im2(i+a-M/2+1:i+a+M/2,j+a-M/2+1:j+a+M/2);
0051 
0052       % bloqueor=Im3(i+a-M/2+1:i+a+M/2,j+a-M/2+1:j+a+M/2);
0053 
0054       [PSD,operador,coef_ar] = fit_it_block_ar4(observado);
0055 
0056       % Restore the block
0057 
0058       [sol]=restaura_block(observado,B,operador,M,N,lambdas,criterio_lambda);
0059 
0060       restaurada(i-N/2+1:i+N/2,j-N/2+1:j+N/2)=sol(a+1:a+N,a+1:a+N);
0061 
0062       if (pinta==1)
0063          imshow(restaurada,[0 256],'notruesize'),pause(0.2);
0064       end
0065 
0066       objetoparaoverlapping((contadorfilas-1)*M+1:contadorfilas*M,(contadorcolumnas-1)*M+1:contadorcolumnas*M) = sol;
0067 
0068    end
0069 end
0070 
0071 restaurada = do_overlap(objetoparaoverlapping,M,N,8);
0072

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