INCO Copernicus project no. 960174
 
 
Texture Synthesis Using Single-Scale / Multiple-Scale Markov Random Field Models
 
Michal Haindl     Vojtech Havlicek




This fast multigrid colour texture synthesis algorithm starts with spectral factorization of an input colour texture image using the Karhunen-Loeve expansion. Single orthogonal monospectral components are further decomposed into a multi-resolution grid and each resolution factors are independently modeled by their dedicated Markov random field model. Finally single synthesized monospectral single-resolution texture factorss are collapsed into the fine resolution images and using the inverse Karhunen-Loeve transformation we obtain the required colour texture.

The multiresolution algorithm.

Examples

Natural textures (upper row) and their synthetic counterparts.
    Distributed texture synthesis using a single-scale / multiple-scale MRF models (requires enabled Java applets).
Animated version of the web distributed modification of the algorithm.
Further information can be found in the paper:
RAAD'98
Haindl, M. Havlicek, V.
Multiresolution Colour Texture Synthesis
In: Proceedings 7th Int. Workshop RAAD'98, K. Dobrovodsky Ed., ISBN: 80-967962-7-5, ASCO Art & Science, pp. 297 - 302, 1998.
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