On Tradeoffs Between Deterministic Structure and Randomness in Texture Simulation

The paper discusses today's techniques of simulating realistic images of natural textures. These techniques account for deterministic spatial structures of signal relationships in a given training sample and allow for random deviations of signals in the simulated texture. When simulation is based on random permutations of image tiles, these latter can be found for some periodic regular textures by using characteristic pixel neighbourhoods. The neighbourhoods are estimated by using Gibbs random field models with multiple pairwise pixel interactions, and the tiles determined from the neighbourhoods, serve as basic structural texture elements, or texels. To exclude spurious borders between the permuted tiles and suppress visually undesirable repetition of specific singularities of individual tiles, simulated images are post-processed by maximising conditional probabilities of signals in accord with the Gibbs model. 1 Center for Image Technology and Robotics Tamaki Campus, The University of Auckland, Auckland, New Zealand. [email protected] You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the CITR Tamaki web site under terms that include this permission. All other rights are reserved by the author(s). On Tradeo s Between Deterministic Structure and Randomness in Texture Simulation