A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

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Summary

A universal statistical model for texture images in the context of an overcomplete complex wavelet transform is presented, demonstrating the necessity of subgroups of the parameter set by showing examples of texture synthesis that fail when those parameters are removed from the set.

Type
article
Published
2000-10-01
Cited by
2,089
References
76

Keywords

Pattern recognition (psychology), Parameterized complexity, Artificial intelligence, Constraint (computer-aided design), Set (abstract data type)

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