Printing from an NTSC source and conversion of NTSC source material to high-definition TV format are some of the recent applications that motivate super-resolution (SR) image and video reconstruction from low-resolution (LR) and possibly blurred sources. Existing methods for SR image reconstruction are limited by the assumptions that the input LR images are sampled progressively, and that the aperture time of the camera is zero, thus ignoring the motion blur occurring during the aperture time. Because of the observed adverse effects of these assumptions for many common video sources, this paper proposes: (i) a complete model of video acquisition with an arbitrary input sampling lattice and a nonzero aperture time, and (ii) an algorithm based on this model using the theory of projections onto convex sets to reconstruct SR still images or video from a LR time sequence of images. Experimental results with real video are provided which clearly demonstrate that a significant increase in the..
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.