Looking for a (Super)resolution to an Image Processing Problem.

In recent years sparse coding has been employed to efficiently process images. Since recovering sharp images from images corrupted with noise is a well-known ill-posed problem, small perturbations in the image lead to large deviations in the reconstructed image. We look to combine research in superresolution with that of sparse coding for elucidation.