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Recursive model-based image restoration
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SYSNO ASEP 0410386 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Recursive model-based image restoration Author(s) Haindl, Michal (UTIA-B) RID, ORCID Issue data Los Alamitos: IEEE Computer Society, 2000 ISBN 0-7695-0750-6 Source Title Proceedings of the 15th IAPR International Conference on Pattern Recognition / Sanfeliu A. ; Villanueva J. J. ; Vanrell M. ; T. Huang Pages s. 346-349 Number of pages 4 s. Action IAPR International Conference on Pattern Recognition /15./ Event date 03.09.2000-07.09.2000 VEvent location Barcelona Country ES - Spain Language eng - English Country US - United States Subject RIV BD - Theory of Information R&D Projects GA106/00/1715 GA ČR - Czech Science Foundation (CSF) GA102/00/0030 GA ČR - Czech Science Foundation (CSF) CEZ 1075907 Annotation This paper presents a derivation of a fast recursive filter for image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous non-causal point-spread function. The degraded image is assumed to follow a causal simultaneous regressive model and the point-spread function is estimated using the local least-square estimate. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
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