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In this paper, a new method for reconstructing a video of higher spatial and temporal resolutions from multiple low-resolution video sequences is introduced. The proposed cost function includes a new space-time regularization term based upon Huber-Markov random field (HMRF) model which is convex but non-quadratic. However, this prior can be efficiently and accurately approximated by a quadratic form through an iterative process. This regularization form is a type of variational integral thatdoi:10.1109/isspa.2012.6310553 dblp:conf/isspa/FaramarziRC12 fatcat:tpkps6wsnvgzjdd6tz5otlk2ly