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- W201101826 abstract "In this chapter an overview of super-resolution (SR) methods used in processing of multidimensional signals is given. The emphasis is laid on presentation of possibly wide range of SR algorithms rather than on detailed description of few ones. The term super resolution is used for naming any technique that exploits the knowledge contained in several low-resolution signals to form a high-resolution one. For example, few frames from a cell-phone video containing hazy shots of some text can be transformed into its clearly readable image. There are many applications of super-resolution, it is used successfully for improving medical imaging systems, satellite imaging, in surveillance, astronomical imaging; new ideas are emerging all the time. The chapter begins with some introductory remarks, and with a description of the general model of imaging systems (observation model). Then, an extensive overview of super-resolution techniques is given, firstly multi-frame, and then single-frame ones are described. The following section contains examples illustrating some problems and solutions encompassed by the domain of super-resolution. At the end a table summarizing properties of the most important super-resolution algorithms is provided." @default.
- W201101826 created "2016-06-24" @default.
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- W201101826 date "2009-01-01" @default.
- W201101826 modified "2023-09-26" @default.
- W201101826 title "Super Resolution for Multimedia, Image, and Video Processing Applications" @default.
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- W201101826 doi "https://doi.org/10.1007/978-3-642-02900-4_8" @default.
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