Super-resolution refers to the process of creating a higher-resolution image with finer details, by utilizing the information of a single low-resolution image or multiple low-resolution ones taken from almost the same scene. Single-frame super-resolution is essentially a task of interpolating between the pixels in the original single-frame image. After a comprehensive bibliographic study of the existing super-resolution techniques, several of the most efficient of these techniques are selected. Also a new implementation, based on a tree data structure is presented.
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Dr. Shima Izadpanahi received her M.S. and Ph.D from Computer Engineering Department of Eastern Mediterranean University, North Cyprus. She was then employed as a full-time instructor in Computer Engineering Department of Middle East Technical University. Her current research interests include Super Resolution and Face Image Classification.
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock. Artikel-Nr. zk613868110X
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Taschenbuch. Zustand: Neu. Single-Frame Image Super-Resolution | Shima Izadpanahi | Taschenbuch | 60 S. | Englisch | 2019 | Scholars' Press | EAN 9786138681106 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 115845722
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