I have two sets of images, {H} and {L}. {H} consists of 512x512 images. {L} consists of all of the images in {H}, but scaled down to 32x32-128x128 and with compression artif
Well its an open issue to some extent. If you need to match the images based of the fact there will be no affine, perspective transformations, rotational transformations, then what you do is simple make a consistent scale for both sets and perform a one to one match by doing, say a correlation match. If you know a thing or two on image processing or computer vision, you could try using advance things like SURF,SIFT, or Gist etc to match the images. Really depends on what you is your need. And this would become a more difficult task by the way.