  We propose a curvelet-based model for the generation of Anisotropic
Fractional Brownian Fields, that are suited to model systems with
orientation-dependent self-similar properties. The synthesis procedure consists
of generating coefficients in the curvelet space with zero-mean Gaussian
distribution. This approach allows the representation of natural systems having
stochastic behavior in some degree and also obeying to a given angular
distribution of correlations. Examples of such systems are found in
heterogeneous geological structures, in anisotropic materials and in complex
disordered media.
