A simple multispectral multiresolution Markov texture model

0410814 20240103182241.120060210235959.9 0-901658-99-5 A simple multispectral multiresolution Markov texture model Glasgow HeriotWatt University 2002 4 s. Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis63-66ChantlerM. multispectral texture synthesis virtual reality Markov random fields cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101100 Havlíček Vojtěch UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K IST-2001-34744 Commission EC XE cav_un_auth*0200688 GA102/00/0030 GA ČR cav_un_auth*0004016 CEZ:AV0Z1075907 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. cav_un_auth*0212907 Texture 2002 Copenhagen DK 01.06.2002 BD RO http://hdl.handle.net/11104/0130901 UTIA-B 20020028 2002 2002 Glasgow HeriotWatt University 0-901658-99-5 Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis 63 66 Chantler M. 340