0410346 20240103182207.520060210235959.9 980-07-6693-6 Orlando International Institute of Informatics and Systemics 2000 6 s. Computer Science and Engineering. 7 634-639SanchezB.PinedaJ. M.WolfmannJ.BellahseneZ.FerriF. cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K GA102/00/0030 GA ČR cav_un_auth*0004016 AV0Z1075907 Two our fast algorithms for realistic multispectral texture modelling are compared. Both algorithms start with spectral factorization of an input multispectral texture image using the Karhunen-Loeve expansion. Single orthogonal monospectral components are further decomposed into a multi-resolution grid and each resolution data are independently modeled by their dedicated monospectral models which are either a Gaussian Markov random field model (GMRF) or a causal simultaneous autoregressive model (CAR). cav_un_auth*0212648 World Multiconference on Systemics, Cybernetics and Informatics Orlando US 23.07.2000-26.07.2000 BD RO http://hdl.handle.net/11104/0130436 UTIA-B 20000062 2000 2000 Orlando International Institute of Informatics and Systemics 980-07-6693-6 Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics 634 639 Sanchez B. 340 Pineda J. M. 340 Wolfmann J. 340 Bellahsene Z. 340 Ferri F. 340