Fast superresolution for image sequences using motion adaptive relaxation parameters

This paper presents a novel fast superresolution algorithm using motion adaptive relaxation parameters. By adopting the fast iterative algorithm based on pre-conditioner, the proposed algorithm can rapidly restore high resolution details in the original high resolution image. Moreover, the proposed algorithm provides a better interpolated images by using the motion adaptive relaxation parameter which controls the convergence rate. Finally, it can be applied to the general image sequence with differently moving objects. As a result, we can obtain high resolution frames from image sequences in almost real-time