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Proceedings Paper

Subsampled vector quantization with nonlinear estimation using neural network approach
Author(s): Huifang Sun; Constantine N. Manikopoulos; Hwei P. Hsu
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Paper Abstract

An intraframe block coding scheme which is devoted to using interblock redundancy and reducing the block effect is proposed. The scheme is based upon a combination of a nonlinear interpolation with transform and vector quantization techniques. Interblock redundancy is removed by extracting a pixel from each block as a common seed to interpolate the rest of the pixels of the neighboring blocks. The estimation error signals are reduced by nonlinear interpolation, which often results in no further processing requirements for some blocks. This saving compensates for the cost of transmitting the overhead of the estimation parameters.

Paper Details

Date Published: 1 November 1991
PDF: 7 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50292
Show Author Affiliations
Huifang Sun, New Jersey Institute of Technology (United States)
Constantine N. Manikopoulos, New Jersey Institute of Technology (United States)
Hwei P. Hsu, Fairleigh Dickinson Univ. (United States)


Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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