Paper
1 November 1992 ASIC chip for real-time vector quantization of video signals
Calvin C.K. Chan, Chi-Kit Ma, Anthony Fong
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131429
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Calvin C.K. Chan, Chi-Kit Ma, and Anthony Fong "ASIC chip for real-time vector quantization of video signals", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131429
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Computer programming

Multiplexers

Quantization

Image compression

Video

Image processing

Visual communications

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