Take 50+ of Lena images, add gaussian noise to them to the point that you couldn't say it is Lena. I insist, gaussian noise, not gaussian blurring.
Now imagine a cropping window randomly moving around Lena's face (like a video camera focused on this part).
Now you have a handful of noisy pictures containing what used to be Lena's face somewhere in the image.
Now I want to get back the face without knowing it in advance :)
- First I have to identify overlapping parts (i.e. noisy faces here) from the set of images.
- Then I must superimpose the faces.
- And finally, add them to get back her beautiful face.
The problem is that I have no clue of how to do that (cross correlation, perhaps to identify the faces and the shift between them). I've never had courses in image processing. I just need a reference or an algorithm name.