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Super-Resolution: A Short Review, A New Method Based on Hidden Markov Modeling of HR Image and Future Challenges
Super-resolution (SR) is the area of research and development which produces one or a set of high-resolution images from one or a set of low-resolution frames. In this paper, first, a short review of a variety of SR problems is presented. Then, starting by a single input single output case, we present different forward modeling of 1D or 2D SR problems. We focus then on the multi input single output and multi input multi output SR problems and provide a summary of recent contributions to them.doi:10.1093/comjnl/bxn005 fatcat:ojella76zraorlezkowfc5tcuu