I have a set of images taken from a video which all have a regular noise pattern which I wish to remove.
You can see this pattern clearly in pattern.jpg which I attached. This is a small segment cropped from the background of image_pattern.jpg. I used imadjust on it to make the pattern visible. If you look closely at image_pattern you can see the pattern I wish to remove without losing details/sharpness in the image.
I've also attached the log of the magnitude of the fft as it seems this may be helpful in solving this problem. I obtained this with the following code:
% Compute the 2D fft. (I is image_pattern)
frequencyImage = fftshift(fft2(I));
% Take log magnitude so we can see it better in the display.
amplitudeImage = log(abs(frequencyImage));
minValue = min(min(amplitudeImage))
maxValue = max(max(amplitudeImage))
figure(3), imshow(amplitudeImage, );
Please let me know if there are any easy solutions to this problem, thanks.