POCS-embedded MAP method for image super-resolution restoration

Super-resolution image restoration produces a high-resolution image from a set of shifted, blurred, and decimated versions thereof. The quality of super-resolution depends on the accuracy and the amount of a priori information that could be utilized in the processing. In this paper, a POCS-embedded MAP based super-resolution image restoration algorithm is proposed, which incorporates POCS constraints and MAP algorithm. Experiments demonstrate that POCS-embedded MAP algorithm can achieve a better restoration result than traditional MAP and POCS approach.