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An Improved Full-Search Scheme for the Vector Quantization Algorithm Based on Triangle Inequality

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題名: An Improved Full-Search Scheme for the Vector Quantization Algorithm Based on Triangle Inequality

作者: Lu, T. C.;Chang, C. C.

關鍵詞: Vector quantization;Euclidean distance;Triangle inequality;Full search

日期: 2008-07

上傳時間: 2009-12-17T06:57:44Z

出版者: Asia University

摘要: In order to speed up the computation time of searching the closest codeword in VQ compression algorithm, Mielikainen proposed an efficient full-search scheme

based upon the law of cosines. However, some computational redundancies still exist in

Mielikainen?s scheme. Hence, Pan et al. developed a scheme based upon triangle projection

to improve Mielikainen?s scheme. In this paper, we introduce a scheme based upon

triangle inequality to speed up the encoding time of the VQ algorithm. The experimental

results show that the proposed method can significantly decrease the computation time

and maintain the same coding quality as the full-search VQ algorithm.

Furthermore, the

memory storage used in the proposed scheme is less than those in Mielikainen?

s and Pan

et al.?s schemes.

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