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Recursive model-based colour image restoration
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SYSNO ASEP 0410847 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Recursive model-based colour image restoration Author(s) Haindl, Michal (UTIA-B) RID, ORCID Issue data Berlin: Springer, 2002 ISBN 3-540-44011-9 Source Title Structural, Syntactic, and Statistical Pattern Recognition. Proceedings / Caelli T. ; Amin A. ; Duin R. P. W. Pages s. 617-626 Series Lecture Notes in Computer Science. Series number 2396 Number of pages 10 s. Action Joint IAPR International Workshops SSPR 2002 and SPR 2002 Event date 06.08.2002-09.08.2002 VEvent location Windsor Country CA - Canada Event type WRD Language eng - English Country DE - Germany Keywords random fields ; image restoration 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 AV0Z1075907 - UTIA-B Annotation This paper presents a derivation of a fast recursive filter for colour image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous point-spread function. Pixels in the vicinity of steep discontinuities are left unrestored to minimize restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional 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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