Long-correlation image models for textures with circular and elliptical correlation structures

A class of random field model having long-correlation characteristic is introduced. Unlike earlier approaches in long-correlation models, the correlation structure is isotropic or elliptical in this new class of random field model. A comprehensive three-step algorithm for parameter estimation is developed, and the validity of the model is demonstrated with real textures.