Edge-enhancing super-resolution using anisotropic diffusion

This paper presents an edge-enhancing super-resolution algorithm using anisotropic diffusion technique. Because we solve the super-resolution problem by incorporating anisotropic diffusion, our technique does more than merely reconstruct a high-resolution image from several overlapping noisy low-resolution images and preserve them. In addition to reducing image noise during the restoration process, our method also enhances edges. We apply this technique to a video stream which can be aligned by 3/spl times/3 projective transformations.