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Iterative Super-Resolution Reconstruction Using Modified Subgradient Method

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Book cover Multimedia Content Representation, Classification and Security (MRCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4105))

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Abstract

Modified subgradient method has been employed to solve super-resolution restoration problem. The technique uses augmented Lagrangians for nonconvex minimization problems with equality constraints. The subgradient of the constructed dual function is used for a measure. Initial results on comparative studies have shown that the technique is very promising.

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© 2006 Springer-Verlag Berlin Heidelberg

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Özkan, K., Seke, E., Adar, N., Canbek, S. (2006). Iterative Super-Resolution Reconstruction Using Modified Subgradient Method. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_94

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  • DOI: https://doi.org/10.1007/11848035_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39392-4

  • Online ISBN: 978-3-540-39393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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