Robust region-based high-resolution image reconstruction from low-resolution video

We propose a region-based approach to high-resolution image reconstruction from video using the projections onto convex sets framework. The region-based formalism allows the use of a validity map and/or a segmentation map. The validity map disables projections based on observations with inaccurate motion information, for robust reconstruction in the presence of motion estimation errors; while the segmentation map enables object-based processing where more accurate motion models can be utilized to improve the reconstruction quality of image object. A procedure for the computation of the validity map is presented. Experimental results demonstrate the quality improvement that can be achieved by the proposed region-based approach