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Proceedings Paper

DPCM with median predictors
Author(s): Yong-Hee Lee; Dong Hee Kang; Jin Ho Choi; Ki Dong Lee
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Paper Abstract

A DPCM system employing a median predictor, which is called the predictive median-DPCM (PM-DPCM), is proposed. An interesting property that in PM-DPCM transmission noise is often isolated and not propagated over the reconstructed signals is observed and analyzed deterministically as well as statistically. In order to examine the performance characteristics of the PM-DPCM, it is applied to real image signals. The experimental results indicate that the PM-DPCM outperforms the standard DPCM when transmission errors occur, and the former performs like the latter under noise-free conditions.

Paper Details

Date Published: 1 April 1992
PDF: 11 pages
Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); doi: 10.1117/12.58377
Show Author Affiliations
Yong-Hee Lee, Korea Advanced Institute of Science and Technology (South Korea)
Dong Hee Kang, Korea Advanced Institute of Science and Technology (South Korea)
Jin Ho Choi, Korea Advanced Institute of Science and Technology (South Korea)
Ki Dong Lee, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 1658:
Nonlinear Image Processing III
Edward R. Dougherty; Jaakko T. Astola; Charles G. Boncelet, Editor(s)

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