Image separation of mixed and overlapped images is a frequent problem in computer vision (image processing). The following Matlab source code is a demonstration of image separation using FastICA algorithm based on kurtosis.

```
clc;clear all;close all;
original_image1=imread ('input1.jpg');
original_image2=imread ('input2.jpg');
figure()
subplot(3,3,1),imshow(original_image1),title('Original Source 1'),
subplot(3,3,2),imshow(original_image2),title('Original Source 2'),
[x1,y1,z1]=size(original_image1);
[x2,y2,z2]=size(original_image2);
s1=[reshape(original_image1,[1,x1*y1*z1])];
s2=[reshape(original_image2,[1,x2*y2*z2])];
mixtures=((0.99-0.4).*rand(2,2) + 0.4 )*double([s1;s2]);
mixture_1=uint8(round(reshape(mixtures(1,:),[x1,y1,z1])));
mixture_2=uint8(round(reshape(mixtures(2,:),[x2,y2,z2])));
subplot(3,3,4),imshow(mixture_1),title('Mixture 1'),
subplot(3,3,5),imshow(mixture_2),title('Mixture 2'),
mixtures_origin=mixtures;
mixtures_mean=zeros(2,1);
for i=1:2
mixtures_mean(i)=mean(mixtures(i,:));
end
for i=1:2
for j=1:size(mixtures,2)
mixtures(i,j)=mixtures(i,j)-mixtures_mean(i);
end
end
mixtures_cov=cov(mixtures');
[E,D]=eig(mixtures_cov);
Q=inv(sqrt(D))*(E)';
mixtures_white=Q*mixtures;
IsI=cov(mixtures_white');
[VariableNum,SampleNum]=size(mixtures_white);
numofIC=VariableNum;
B=zeros(numofIC,VariableNum);
for r=1:numofIC
i=1;maxIterationsNum=250;
b=2*(rand(numofIC,1)-.5);
b=b/norm(b);
while i < maxIterationsNum
if i == maxIterationsNum
fprintf('No convergence - %d - %d', r,maxIterationsNum);
break;
end
b_prev=b;
t=mixtures_white'*b;
G = 4 * t.^3;
Gp = 12 * t.^2;
b=(t'*G*b+mixtures_white*G)/SampleNum-mean(Gp)*b;
b=b-B*B'*b;
b=b/norm(b);
if abs(abs(b'*b_prev)-1) < 1e-10
B(:,r)=b;
break;
end
fprintf(1,'%d | %d - %d\n',r,i,abs(abs(b'*b_prev)-1));
i=i+1;
end
end
ICAedS=abs(55*(B'*Q*mixtures_origin));
original_image1_icaed =uint8 (round(reshape(ICAedS(1,:),[x1,y1,z1])));
original_image2_icaed =uint8 (round(reshape(ICAedS(2,:),[x2,y2,z2])));
subplot(3,3,7),imshow(original_image1_icaed),title('Restored Image 1');
subplot(3,3,8),imshow(original_image2_icaed),title('Restored Image 2');
```

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