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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A new vector quantization image coding algorithm based on the extension of the bound for Minkowski metric
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A new vector quantization image coding algorithm based on the extension of the bound for Minkowski metric

机译:基于Minkowski度量界扩展的矢量量化图像编码新算法。

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摘要

A new inequality is derived from the bound for the Minkowski metric. This new inequality can be interpreted as the generalized form of the basic inequality used in the mean-distance-ordered partial codebook search (MPS) algorithm. An improved codebook search algorithm based on this new inequality for image vector quantization is proposed. This novel approach provides superior performance compared with the mean-distance-ordered partial codebook search algorithm. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 14]
机译:从Minkowski度量的边界导出了一个新的不等式。这个新的不等式可以解释为均值距离排序部分码本搜索(MPS)算法中使用的基本不等式的广义形式。提出了一种基于这种新的不等式的改进的码本搜索算法,用于图像矢量量化。与均值距离排序的部分码本搜索算法相比,这种新颖的方法提供了卓越的性能。 (C)1998模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:14]

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