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Proceedings Paper

Pseudorandom numbers: evolutionary models in image processing, biology, and nonlinear dynamic systems
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Paper Abstract

We show that one can treat pseudo-random generators, evolutionary models of texture images, iterative local adaptive filters for image restoration and enhancement and growth models in biology and material sciences in a unified way as special cases of dynamic systems with a nonlinear feedback.

Paper Details

Date Published: 11 November 1996
PDF: 10 pages
Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); doi: 10.1117/12.258138
Show Author Affiliations
Leonid P. Yaroslavsky, Tel-Aviv Univ. (Israel)


Published in SPIE Proceedings Vol. 2824:
Adaptive Computing: Mathematical and Physical Methods for Complex Environments
H. John Caulfield; Su-Shing Chen, Editor(s)

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