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Image Superresolution Based on Locally Adaptive Mixed-Norm

In a typical superresolution algorithm, fusion error modeling, including registration error and additive noise, has a great influence on the performance of the super-resolution algorithms. In this letter, we show that the quality of the reconstructed high-resolution image can be increased by exploit...

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Autors principals: Osama A. Omer, Toshihisa Tanaka
Format: Artigo
Idioma:Inglês
Publicat: Wiley 2010-01-01
Col·lecció:Journal of Electrical and Computer Engineering
Accés en línia:http://dx.doi.org/10.1155/2010/435194
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