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A multiresolution causal colour texture model
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SYSNO ASEP 0410383 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A multiresolution causal colour texture model Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Havlíček, Vojtěch (UTIA-B) RIDIssue data Berlin: Springer, 2000 ISBN 3-540-67946-4 Source Title Advances in Pattern Recognition. Proceedings / Ferri F. J. ; Inesta J. M. ; Amin A. ; Pudil P. Pages s. 114-122 Series Lecture Notes in Computer Science. Series number 1876 Number of pages 9 s. Action Joint IAPR International Workshops SSPR 2000 and SPR 2000 Event date 30.08.2000-01.09.2000 VEvent location Alicante Country ES - Spain Language eng - English Country DE - Germany Subject RIV BD - Theory of Information R&D Projects GA102/00/0030 GA ČR - Czech Science Foundation (CSF) GA106/00/1715 GA ČR - Czech Science Foundation (CSF) CEZ 1075907 Annotation An efficient recursive algorithm for realistic colour texture synthesis is proposed. The algorithm starts with spectral factorization of an input colour texture image using the Karhunen-Loeve decorrelation. Single orthogonal monospectral components are further decomposed into a multi-resolution grid and each resolution data are independently modeled by their dedicated simultaneous causal autoregressive random field model (CAR). We estimate an optimal contextual neighbourhood and model parameters. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
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