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Super-resolution reconstruction (SRR) deals with construction of a high-resolution image from a set of blurred, degraded and shifted low-resolution images of a scene. A variety of methods have been proposed to address the SRR problem, nevertheless they are usually based on a simple cost function thus are very sensitive to their assumed model of data and noise, which limits their utility. This paper...
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