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This paper deals with the single image scale-up problem using sparse-representation modeling. The goal is to recover an original image from its blurred and down-scaled noisy version. Since this problem is highly ill-posed, a prior is needed in order to regularize it. The literature offers various ways to address this problem, ranging from simple linear(More)
In this paper we use sparse-representation modeling for the single image scale-up problem. The goal is to recover an original image from its blurred and down-scaled noisy version. Since this problem is highly ill-posed, a prior is needed in order to solve it in a robust fashion. The literature offers various ways to address this problem, ranging from simple(More)
Acknowledgment I would like to thank my adviser, Prof. Irad Yavneh for his outstanding guidance, helpful discussions and valuable advice. I am deeply grateful to my family, and especially to my wife, Galit, for their love and support. Abstract 1 Abbreviations and Notations 2
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