Hybrid approach for structural texture synthesis

Structural textures are characterized by repeating pattern called `Texton´ and placement rule - that determines the nature of periodicity. Based on periodicity, textures are classified as homogeneous - perfectly periodic and weakly homogeneous - quasi-perioidic. Both of these textures are assumed to be combination of Structural information, Illumination i.e. average brightness at different sites of the texture and Stochasticity to allow local variations. This paper deals with a top-down approach to extract structural information i.e. the grid, representative texton and illumination component from the original texture patch. Introduction of stochasticity makes the texture more natural and similar to original one. This technique does not produce verbatim copies in the synthesized texture. Since the representative texton generation, texton filling and stochasticity introduction are computationally heavier, the work presented in this paper claims the algorithmic development towards improvement in overall synthesis time.