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We propose a curvelet-based model for the generation of AnisotropicFractional Brownian Fields, that are suited to model systems withorientation-dependent self-similar properties. The synthesis procedure consistsof generating coefficients in the curvelet space with zero-mean Gaussiandistribution. This approach allows the representation of natural systems havingstochastic behavior in some degree and also obeying to a given angulardistribution of correlations. Examples of such systems are found inheterogeneous geological structures, in anisotropic materials and in complexdisordered media.

Curvelet-based Model for the Generation of Anisotropic Fractional Brownian Fields