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Separability of spatiotemporal spectra of image sequences

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3 Author(s)
M. P. Eckert ; Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA ; G. Buchsbaum ; A. B. Watson

The authors calculate the spatiotemporal power spectrum of 14 image sequences in order to determine the degree to which the spectra are separable in space and time and to assess the validity of the commonly used exponential correlation model. They expand the spectrum by a singular value decomposition into a sum of separable terms and define an index of spatiotemporal separability. as the fraction of the signal energy that can be represented by the first (largest) separable term. All spectra were found to be highly separable with an index of separability above 0.98. The power spectra of the sequences were well fit by a separable model, which corresponds to a product of exponential autocorrelation functions separable in space and time

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:14 ,  Issue: 12 )