Abstract: This paper describes a new method to reconstruct high-resolution video sequences from several observed low-resolution images based on an adaptive Mumford-shah model which is extended by using nonlocal information and low-rank representation. In our regularization framework, joint image restoration and motion estimation are first implemented and then detailed information can be recovered by incorporating new model as a prior term.
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