Share Email Print
cover

Proceedings Paper

ASIC chip for real-time vector quantization of video signals
Author(s): Calvin C.K. Chan; Chi-Kit Ma; Anthony Fong
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The demanding computational requirement of a vector quantization (VQ) encoder has hindered the application to real-time video coding. The complexity of the VQ encoder can be greatly reduced by using a multiplicationless image vector quantization (MLIVQ) technique. A real- time vector quantizer architecture implementing this novel algorithm on a single ASIC chip is presented in this paper. Running at a clock rate of 33 MHz and through the use of a three- stage pipeline architecture, the proposed hardware implementation is capable of real-time compression of motion video with 512 X 512 pixels per frame at a refreshing rate of 30 frames per second. As compared with traditional full-search VQ, the MLIVQ technique shows a big reduction in hardware complexity while introducing an insignificant degradation in picture quality.

Paper Details

Date Published: 1 November 1992
PDF: 8 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131429
Show Author Affiliations
Calvin C.K. Chan, City Polytechnic of Hong Kong (Hong Kong)
Chi-Kit Ma, City Polytechnic of Hong Kong (Hong Kong)
Anthony Fong, City Polytechnic of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

© SPIE. Terms of Use
Back to Top