Publication details

A simple multispectral multiresolution Markov texture model

Conference Paper (international conference)

Haindl Michal, Havlíček Vojtěch


serial: Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 63-66 , Eds: Chantler M.

publisher: HeriotWatt University, (Glasgow 2002)

action: Texture 2002, (Copenhagen, DK, 01.06.2002)

research: CEZ:AV0Z1075907

project(s): IST-2001-34744, Commission EC, GA102/00/0030, GA ČR

keywords: multispectral texture synthesis, virtual reality, Markov random fields

abstract (eng):

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.

Cosati: 09K

RIV: BD