Title :
Fast image synthesis using an extended self-similar (ESS) model
Author :
Kaplan, Lance M. ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
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
Keywords :
Fourier analysis; computational complexity; computer graphics; fast Fourier transforms; image texture; random processes; signal synthesis; ESS model; FFT; Fourier synthesis; computational complexity; extended self-similar model; fast image synthesis; incremental Fourier synthesis; memory requirement; stationary increments; Application software; Brownian motion; Clouds; Computational complexity; Computer graphics; Electronic switching systems; Image generation; Size control; Statistics; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480075