Parallel Image Sequence Coding By Adaptive Vector Quantization

H. D. Cheng; H. Sun; J. Y. Zhang

doi:10.1117/12.969012

25 October 1988 Parallel Image Sequence Coding By Adaptive Vector Quantization¹

H. D. Cheng, H. Sun, J. Y. Zhang

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.969012
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

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.

Citation Download Citation

H. D. Cheng, H. Sun, and J. Y. Zhang "Parallel Image Sequence Coding By Adaptive Vector Quantization¹", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.969012

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