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A simple multispectral multiresolution Markov texture model
- 1.0410814 - UTIA-B 20020028 RIV GB eng C - Konferenční příspěvek (zahraniční konf.)
Haindl, Michal - Havlíček, Vojtěch
A simple multispectral multiresolution Markov texture model.
Glasgow: HeriotWatt University, 2002. ISBN 0-901658-99-5. In: Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis. - (Chantler, M.), s. 63-66
[Texture 2002. Copenhagen (DK), 01.06.2002]
Grant CEP: GA ČR GA102/00/0030
Grant ostatní: Commission EC(XE) IST-2001-34744
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: multispectral texture synthesis * virtual reality * Markov random fields
Kód oboru RIV: BD - Teorie informace
A fast algorithm for realistic multispectral texture modelling is introduced. The algorithm starts with spectral and spatial factorization of an input multispectral texture image. Single orthogonal monospectral components are decomposed into a multi-resolution grid and each resolution data are independently modelled by their dedicated Gaussian Markov random field model (GMRF). We estimate an optimal contextual neighbourhood and parameters for each GMRF.
Trvalý link: http://hdl.handle.net/11104/0130901
Počet záznamů: 1