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Abstract:
Recent work establishes that static and dynamic natural images have fractal-like 1/f spatiotemporal spectra. Artifical textures, with randomized phase spectra, and 1/f amplitude spectra are also used in studies of texture and noise perception. Influenced by colorimetric principles and motivated by the ubiquity of 1/f 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).
