期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：11
页码：54-61
出版社：International Journal of Computer Science and Network Security
摘要：Vector Quantization (VQ) is successfully applied to data compression. In image compression, Multiple-VQ with Index Inference (MVQII) can provide a much better restored image quality than conventional VQ methods. However, the index inference increases the computational complexity of the decoding process in proportion to the number of weights. In this paper, in order to accelerate the decoding process of MVQII, we present three types of digital circuit design for the decoder. The presented designs are implemented on FPGAs and are evaluated in terms of operating speed, processing time. The results show that two versions achieve good improvement in processing speed at reasonable expenses of circuit size and that the fastest version is nearly ten times faster than a software implementation on a modern standard computer.
关键词：Vector quantization; decoder; multiple vector quantization; digital circuit; FPGAs
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