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• W2103232506 abstract "In this paper, we present a perceptual distortion measure that predicts image integrity far better than mean-squared error. This perceptual distortion measure is based an a model of human visual processing that fits empirical measurements of the psychophysics of spatial pattern detection. The model of human visual processing proposed involves two major components: a steerable pyramid transform and contrast normalization. We also illustrate the usefulness of the model in predicting perceptual distortion in real images.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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• W2103232506 date "2002-12-17" @default.
• W2103232506 modified "2023-10-18" @default.
• W2103232506 title "Perceptual image distortion" @default.
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• W2103232506 doi "https://doi.org/10.1109/icip.1994.413502" @default.
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