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Proceedings Paper

Parallel Image Sequence Coding By Adaptive Vector Quantization
Author(s): H. D. Cheng; H. Sun; J. Y. Zhang
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Paper Abstract

Vector quantizer is used to map a sequence of co to map a sequence of continuous or discrete vectors into a digital sequence for storing or communicating with the advantage of data compression. It has been paid a lot of attention by many researchers. However in image sequence case, the computation complexity is very high, and it has to be solved in order to have practical applications. In this paper, a new codebook updating algorithm is proposed and its VLSI implementation is discussed. The VLSI architecture has several processing arrays which can reduce the time complexity from 0(M x N x K) to 0(M -1- N -1- K) where N is the number of vectors per frame, M is the dimension of the vector and K is the size of the codebook. It will be very useful for real-time information processing.

Paper Details

Date Published: 25 October 1988
PDF: 7 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.969012
Show Author Affiliations
H. D. Cheng, Technical University of Nova Scotia (Canada)
H. Sun, Fairleigh Dickinson University (Canada)
J. Y. Zhang, University of Ottawa (Canada)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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