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function [img_cleaned,imfourier]=stripeeraser(img,radius,threshold_power)
% Cleans an image from the stripes produced by interference fringes.
% Such parallel fringes appears like a strong peak in the Fourier transformed image.
% so it easy to clean them, especially if their spatial frequency is high.
%
% We will clean strong frequency components higher them max*10^(-threshold_power)
% by suppressing them with exponential factor which is increases with distance
% from the center i.e. zero spatial frequencies.
immask=fftshift(fft2(img)); % move to Fourier space
max1=max(immask(:));
for x=1:640
for y=1:480
d=sqrt((x-320)^2+(y-240)^2);
if d>radius
% for high enough frequency components
%The filter works like a neutral density filter.
if abs(immask(y,x))>max1*(10^(-threshold_power));
% Suppress this frequency components which are mostly stripes
% but leave untouched small sharp features of the beam
% since they are spectrally weak
immask(y,x)=immask(y,x)*exp(-(d/radius)^2);
end;
end;
end;
end;
imfourier=immask;
img_cleaned=ifft2(ifftshift(immask));
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