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Published on: September 11, 2018
Texture synthesis via a noncausal nonparametric multiscale Markov random field
1Department of Electrical and Computer Engineering, and the Cooperative Research Centre for Sensor, Signal, and Information Processing, University of Queensland, Brisbane, QLD 4072, Australia. paget@elec.uq.edu.au
Abstract:
Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesizing and capturing the characteristics of a wide variety of textures, from the highly structured to the stochastic. We use a multiscale synthesis algorithm incorporating local annealing to obtain larger realizations of texture visually indistinguishable from the training texture.
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