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Perception of spatiotemporal random fractals: an extension of colorimetric methods to the study of dynamic texture

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Abstract

Recent work establishes that static and dynamic natural images have fractal-like 1/fα spatiotemporal spectra. Artifical textures, with randomized phase spectra, and 1/fα amplitude spectra are also used in studies of texture and noise perception. Influenced by colorimetric principles and motivated by the ubiquity of 1/fα spatial and temporal image spectra, we treat the spatial and temporal frequency exponents as the dimensions characterizing a dynamic texture space, and we characterize two key attributes of this space, the spatiotemporal appearance map and the spatiotemporal discrimination function (a map of MacAdam-like just-noticeable-difference contours).

© 2001 Optical Society of America

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