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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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Izadpanahi, Shima
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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