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High-Order Statistics for Point Prediction in Natural Images

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Results are presented for a simple conditional-moments method that directly measures high-order statistics of natural images. In four estimation tasks significant increases in performance are obtained in comparison to traditional methods.

© 2011 Optical Society of America

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