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25 October 1988 Parallel Image Sequence Coding By Adaptive Vector Quantization1
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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