A fast recursive model-based algorithm for realistic colour texture synthesis is proposed. The algorithm starts with a colour texture image decomposition into a multiresolution grid. Each band pass colour factors are independently modelled by their dedicated 3D causal autoregressive random field models (CAR). We estimate an optimal contextual neighbourhood and parameters for each of the CAR submodel. Finally the synthesized multiresolution colour texture pyramid is collapsed into the required fine resolution colour texture. The benefit of the multigrid approach is the replacement of a large neighbourhood CAR model with a set of several simpler CAR models which are easy to synthesize and wider application area of these multi-grid models capable of reproducing realistic textures for enhancing realism in various texture application areas.