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0007 function IMM=restoring_image_SVM(Im2,epsilon,Csvm,sigma,perfil_eps)
0008
0009 load C_profile
0010 perfil_sigma=[1 1 1 1];
0011
0012 sigma_2 = sigma;
0013 sigma_1 = sigma_2/2;
0014 AAlfa=linspace(-90,90,9);
0015
0016 for n=1:8
0017 Kernel_M(:,:,n) = kernelgauss2Dsteerable(16,sigma_2,sigma_1,AAlfa(n));
0018 end
0019
0020 perfil_eps_M = perfil_eps*epsilon;
0021 perfil_C_M = perfil_C*Csvm;
0022
0023 ESCALAS=4;
0024 ORIENTACIONES=7;
0025 [pyrR,ind]=buildSFpyr(Im2,ESCALAS,ORIENTACIONES);
0026
0027 L=(1:256)';
0028 UNOS=ones(1,256)';
0029 pyr2=pyrR;
0030 for esc=1:ESCALAS
0031 for or=1:ORIENTACIONES+1
0032 fprintf('.')
0033 BAND_NUM=1+or+(esc-1)*(ORIENTACIONES+1);
0034 INDD=pyrBandIndices(ind,BAND_NUM);
0035
0036 RES = pyrBand(pyrR, ind, BAND_NUM);
0037 KB=Kernel_M(:,:,or).^(perfil_sigma(esc));
0038
0039 P_C = perfil_C_M(INDD(1));
0040 P_E = perfil_eps_M(INDD(1));
0041
0042 R=blkproc(RES,[16 16],'SVRegression(x,P1,P2,P3,P4,P5)',L,KB,P_C,P_E,UNOS);
0043
0044 pyr2(INDD)=R(:);
0045
0046 end
0047 end
0048 pyr2(1:256*256)=zeros;
0049 IMM=reconSFpyr(pyr2,ind);
0050
0051 fprintf('\n')