📄 im2cp.m
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function [Sr,meanr,Sg,meang,Sb,meanb]=im2cp(Imi,bckm,bckn)
%Copyright murillo 2001
%Please cite:
%F.J. Gonz醠ez-Serrano, H.Y. Molina-Bulla, J.J. Murillo-Fuentes "Independent component analysis applied to digital image watermarking". IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'2001). IEEE. Salt Lake City (EEUU).
% and/or
%JJ Murillo-Fuentes "Independent component analisis in the blind
%watermarking of digital images" Neurocomputing Volume 70 , Issue 16-18
%(October 2007) Pages 2881-2890
[m,n,dim]=size(Imi);
sm=floor(m/bckm);
sn=floor(n/bckn);
if dim==3
%Se obtienen las se馻les para cada elemento bckmXbckn
for k1=1:bckm
for k2=1:bckn
S=Imi(k1:bckm:m,k2:bckn:n,1);
Sr((k2-1)*bckm+k1,:)=reshape(S(1:sm,1:sn),1,sm*sn);
S=Imi(k1:bckm:m,k2:bckn:n,2);
Sg((k2-1)*bckm+k1,:)=reshape(S(1:sm,1:sn),1,sm*sn);
S=Imi(k1:bckm:m,k2:bckn:n,3);
Sb((k2-1)*bckm+k1,:)=reshape(S(1:sm,1:sn),1,sm*sn);
end
end
%Se normalizan las entradas: eliminamos las medias
vaux=ones(1,length(Sr));
meanr=mean(Sr');
Sr = Sr - meanr'*vaux;
%varr=var(Srn');
%Srn=Srn./(sqrt(varr)'*vaux);
meang=mean(Sg');
Sg = Sg - meang'*vaux;
%varg=var(Sgn');
%Sgn=Sgn./(sqrt(varg)'*vaux);
meanb=mean(Sb');
Sb = Sb - meanb'*vaux;
%varb=var(Sbn');
%Sbn=Sbn./(sqrt(varb)'*vaux);
else
for k1=1:bckm
for k2=1:bckn
S=Imi(k1:bckm:m,k2:bckn:n);
Sr((k2-1)*bckm+k1,:)=reshape(S(1:sm,1:sn),1,sm*sn);
end
end
%Se normalizan las entradas: eliminamos las medias
vaux=ones(1,length(Sr));
meanr=mean(Sr');
Sr = Sr - meanr'*vaux;
%varr=var(Srn');
%Srn=Srn./(sqrt(varr)'*vaux);
end
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