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Fast image synthesis using an extended self-similar (ESS) model

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2 Author(s)
Kaplan, L.M. ; Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA ; Kuo, C.-C.J.

Proposes a method called incremental Fourier synthesis to generate images based upon the 2-D extended self-similar (ESS) model. This algorithm creates the stationary increments of ESS processes by Fourier synthesis. Then, the increments are added up to generate the nonstationary 2-D ESS process. Because the new method can take advantage of the FFT, its computational complexity is only O(N2 log2(N)), and its memory requirement is O(N2) for an image of size N×N

Published in:

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on  (Volume:4 )

Date of Conference:

9-12 May 1995