Bilevel quantization using dithering and Hopfield theory

Jae-Jeong Hwang; Moon-Ho Lee

doi:10.1117/12.24103

1 September 1990 Bilevel quantization using dithering and Hopfield theory

Jae-Jeong Hwang, Moon-Ho Lee

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24103
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

Citation Download Citation

Jae-Jeong Hwang and Moon-Ho Lee "Bilevel quantization using dithering and Hopfield theory", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24103

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