My friend came back from holidays, where he took lots of pictures. Unfortunately, the camera was set on manual focus and most pictures are blurry. It got me thinking that mathematica showed how to deblur the images ImageDeconvolve[] documentation and remembered how the original image can be reconstructed. In principle we only need to find the kernel for the lens.
So the challenge: can we find kernel guessing method that produces sharpest images? I am providing 3 images to play with.
1) Perfect image with GaussianMatrix[] blur (I'm not telling you the parameters) (high resolution link)
2) Perfect image with unknown kernel blur (high resolution link)
3) An actual picture from my friend's holidays (high resolution link, raw)
Also there was an old discussion on this thread that did not get anywhere.



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