The other path to SuperResolution is to take multiple images, keeping track of camera orientation and rotation to stabilize and then merge the multiple exposures into a single image with much more real image information than the native resolution of the imager. The only physical requirements are that the camera not be absolutely stable, and the subject not be moving.
You can get on the order of sqrt(N) improvement in resolution from N images with an optimized system. I've done it in the past, with a hand held DSLR and Hugin (the panorama stitching program, in this case used to align the stack of almost identical pictures with subpixel accuracy)
You can get on the order of sqrt(N) improvement in resolution from N images with an optimized system. I've done it in the past, with a hand held DSLR and Hugin (the panorama stitching program, in this case used to align the stack of almost identical pictures with subpixel accuracy)