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