regu_operator

PURPOSE ^

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

SYNOPSIS ^

function [restaurada,objetoparaoverlapping]=regu_operator(Imobservada,b,lambdas,N,M,F,criterio_lambda,pinta,varargin);

DESCRIPTION ^

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

   Given an observed degraded image (given by 'K' and additive noise)
   it regularizes using the a penalization operator F and reguilarization parameters
   'lambdas'.
   N is the block size and M is the block size plus the boundary
   (in order to avoid boundary effects in the reconstruction.
   It gives back also the image blocks in order to perform the overlapping.

      i.e.
      N=16;
      M=44;
      Nlambdas=70;
      lambdas=logspace(-2,2,Nlambdas);
      operador=fft2(filt2dsegder,M,M);

      figure,[Irest]=regu_operator(BlurredNoisy,PSF,lambdas,N,M,operador,criterio_lambda,pinta);

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 % function [rest]=regu_operator(Imobservada,b,lambdas,N,M,F,criterio_lambda,pinta);
0002 %
0003 %   Given an observed degraded image (given by 'K' and additive noise)
0004 %   it regularizes using the a penalization operator F and reguilarization parameters
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 %   It gives back also the image blocks in order to perform the overlapping.
0009 %
0010 %      i.e.
0011 %      N=16;
0012 %      M=44;
0013 %      Nlambdas=70;
0014 %      lambdas=logspace(-2,2,Nlambdas);
0015 %      operador=fft2(filt2dsegder,M,M);
0016 %
0017 %      figure,[Irest]=regu_operator(BlurredNoisy,PSF,lambdas,N,M,operador,criterio_lambda,pinta);
0018 %
0019 
0020 function [restaurada,objetoparaoverlapping]=regu_operator(Imobservada,b,lambdas,N,M,F,criterio_lambda,pinta,varargin);
0021 
0022 sinruido=wiener2(Imobservada,[3 3]);
0023 
0024 noiseest = mean(var(sinruido-Imobservada));
0025 
0026 normaruido = sqrt(noiseest)*M;
0027 
0028 [fil,col]=size(Imobservada);
0029 
0030 restaurada=rand([fil,col]);
0031 
0032 nver = fil/N;
0033 nhor = col/N;
0034 
0035 objetoparaoverlapping = rand(nver*M,nhor*M);
0036 
0037 a=(M-N)/2;
0038 
0039 Im2=ampliaconborde(Imobservada,a);
0040 
0041 nlamb=length(lambdas);
0042 
0043 B=freqz2(b,M,M);
0044 
0045 B=ifftshift(B);
0046 
0047 contadorfilas=0;
0048 
0049 if (nargin==8)
0050 
0051    for i=N/2:N:fil
0052 
0053       contadorfilas = contadorfilas+1;
0054       contadorcolumnas = 0;
0055 
0056       for j=N/2:N:col
0057 
0058          contadorcolumnas = contadorcolumnas + 1;
0059 
0060          observado=Im2(i+a-M/2+1:i+a+M/2,j+a-M/2+1:j+a+M/2);
0061 
0062          [sol]=restaura_block(observado,B,F,M,N,lambdas,criterio_lambda);
0063 
0064          restaurada(i-N/2+1:i+N/2,j-N/2+1:j+N/2)=sol(a+1:a+N,a+1:a+N);
0065 
0066          if (pinta==1)
0067             imshow(restaurada,[0 256],'notruesize'),pause(0.2);
0068          end
0069 
0070          objetoparaoverlapping((contadorfilas-1)*M+1:contadorfilas*M,(contadorcolumnas-1)*M+1:contadorcolumnas*M) = sol;
0071 
0072       end
0073    end
0074 
0075    restaurada = do_overlap(objetoparaoverlapping,M,N,8);
0076 
0077 else
0078    centro = varargin{1};
0079 
0080    i = centro(1);
0081    j=centro(2);
0082 
0083    observado=Im2(i+a-M/2+1:i+a+M/2,j+a-M/2+1:j+a+M/2);
0084 
0085    [sol]=restaura_block(observado,B,F,M,N,lambdas,criterio_lambda);
0086 
0087    restaurada = sol;
0088 end
0089

Generated on Fri 07-Mar-2014 13:28:33 by m2html © 2005