0410383 20240103182210.320060210235959.9 3-540-67946-4 Berlin Springer 2000 9 s. Lecture Notes in Computer Science. 1876 114-122FerriF. J.InestaJ. M.AminA.PudilP. 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 GA102/00/0030 GA ČR cav_un_auth*0004016 ISE-86L8-13 Hewlett Packard US GA106/00/1715 GA ČR cav_un_auth*0005263 AV0Z1075907 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. cav_un_auth*0212672 Joint IAPR International Workshops SSPR 2000 and SPR 2000 Alicante ES 30.08.2000-01.09.2000 BD RO http://hdl.handle.net/11104/0130472 UTIA-B 20000099 2000 2000 Berlin Springer 3-540-67946-4 Advances in Pattern Recognition. Proceedings 114 122 Ferri F. J. 340 Inesta J. M. 340 Amin A. 340 Pudil P. 340