📄 wmembed.m
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function [wm_image,keys,ix] = WMembed(image,L,M,var,powers)%% embed n watermarks using gaussian technique%% IN : image : given image% L, M, var: vectors of length n% watermark i is imbedded in ix(i,L(i)+1:L(i)+M(i)), i = 1:n% which are a Gaussian random variables with variance var(i)/2% n = min (length(L),length(M),length(var))% powers : powers used in the frft2d%% OUT: wm_image : the image with m watermarks% keys : the n watermarks or the seeds to generate them% this is decided by setting the switch 'noseeds' below% ix : location where watermarks are embedded%% EXAMPLE:% [wm_image,keys,ix] = WMembed(lena,[72000,100000],[8000,4000],[0.4,0.5],[0.8,0.8]);%% set noseeds = 1 if you want to pass on the random sequences% set noseeds = 0 if you want to pass only the seeds for the random sequencesnoseeds = 0;n = min([length(L),length(M),length(var)]);% compute 2D-frft of image% and sort coefficientsS = frft2d(image,powers);sizeS = size(S);[val, ix] = sort(abs(S(:)));S = S(:);% embed the n watermarksfor i = 1:n Swm = S(ix(L(i)+1:L(i)+M(i))); if ( noseeds ), % pass on the random sequences key1 = normrnd(0,sqrt(var(i)/2),M(i),1); key2 = normrnd(0,sqrt(var(i)/2),M(i),1); keys{i} = [key1 key2]; else % pass on the seeds seed1 = random('unif',0,1000000000); randn('seed',seed1); key1 = sqrt(var(i)/2)*randn(M(i),1); seed2 = random('unif',0,1000000000); randn('seed',seed2); key2 = sqrt(var(i)/2)*randn(M(i),1); keys{i}=[seed1 seed2]; end Swm = Swm + abs(real(Swm)).*key1 + j*abs(imag(Swm)).*key2; S(ix(L(i)+1:L(i)+M(i))) = Swm;endS = reshape(S,sizeS);wm_image = frft2d(S,-powers);
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