Proceedings PaperEstimation of image statistics using generalized self-similar tilings
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The use of generalized self-similar tilings and nonseparable Haar wavelets for characterization of image statistics over irregularly shaped regions is detailed. Requirements for uniqueness of the image representation are presented and richness of the class of tiles is explored. New results include the uniqueness of the representation on the toroidal integer lattice. The resulting classification of a scalar valued image using the estimated statistics is presented over an irregular tiling.