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Proceedings Paper

Bilevel quantization using dithering and Hopfield theory
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Paper Abstract

Bilevel quantization using dither is useful with coarse quantizers. So we study it from a statistical viewpoint, furthermore, physical energy theory known as Hopfield neural network or Ising spin system. These are equivalent internally and they should be related to the optimum convergence or minimum quantization error of dithering. In this paper, we show this relationship and theoretical improvements.

Paper Details

Date Published: 1 September 1990
PDF: 5 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24103
Show Author Affiliations
Jae-Jeong Hwang, Chonbuk National Univ. (South Korea)
Moon-Ho Lee, Chonbuk National Univ. (South Korea)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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