Super-resolution reconstruction of video sequences based on back-projection and motion estimation

Bandwidth limitation and service costs are important factors when dealing with mobile multimedia contents' fruition. Super-resolution reconstruction might be a relevant solution, since it allows for restoring the original spatial resolution from low-resolution compressed data. In this way, both content and service providers, not to tell the final users, are relieved from the burden of providing and supporting large multimedia data transfer. In the proposed work, the high-resolution video sequence is reconstructed through iterative processing of inter-frame information and interpolative techniques. Resolution enhancement is based on iterative update of the high-resolution image estimate through motion and scene change detection. The devised technique is derived from the work of Irani and Peleg [8]. The main contribution of the proposed approach consists in the generalization of the transformation model through the exploitation of local change. Results are encouraging and prove that the devised scheme outperforms alternative techniques.