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We propose a novel high-quality image zooming technique using fuzzy rule based prediction framework. Our approach is based on the fundamental idea that a low-resolution (LR) image patch could be generated from any of the many possible high-resolution (HR) image patches. Therefore it would be natural to assign certain fuzzyness to each of the possibilities of HR patches. We develop a prediction system that learns the LR-HR patch correspondence and also the natural image patch prior from andoi:10.1109/fuzz-ieee.2013.6622394 dblp:conf/fuzzIEEE/PurkaitC13 fatcat:tw6zj4hrnbc3nnxew2ceuvpjdu