2012 JUN 25 (VerticalNews) -- By a News Reporter-Staff News Editor at Robotics & Machine Learning -- nResearchers detail new data in Pattern Analysis. According to news reporting from Xi'an, People's nRepublic of China, by VerticalNews journalists, researchers stated "Recent development on nCompressive Sampling (or compressive sensing, CS) theory suggests that High-Resolution (HR) images ncan be correctly recovered from their Low-Resolution (LR) version under mild conditions. Inspired by it, nwe proposed a CS based Single-Image Super-resolution Reconstruction (SISR) framework that exploits nthe dual-sparsity and non-local similarity constraints of images."
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