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Noniterative Interpolation-Based Super-Resolution. Minimizing Aliasing in the Reconstructed Image. Alfonso Sánchez-Beato and Gonzalo Pajares, Member, ...
transform (SIFT) descriptors in both building an exemplar dataset adaptively and producing the HF details with respect to the features of an input low resolution image. Given a large image database, we propose using the highly correlated images retri
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http://www.sites.google.com/site/baretemples/uploads/research/npsr2012. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TMM.2012.2225037 recognition. For
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Super-resolution via superset selection and pruning. Laurent Demanet. Department of Mathematics. Massachusetts Institute of Technology. Cambridge ... does not suffer from slow convergence in situations of high coherence. We also show that the algorit
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