A simple multispectral multiresolution Markov texture model

0410814 - UTIA-B 20020028 RIV GB eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GA102/00/0030
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : multispectral texture synthesis * virtual reality * Markov random fields
Subject RIV: BD - Theory of Information

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.
Permanent Link: http://hdl.handle.net/11104/0130901