A NEW VECTOR QUANTIZATION IMAGE CODING ALGORITHM BASED ON THE EXTENSION OF THE BOUND FOR MINKOWSKI METRIC

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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.

论文关键词:VQ,Bound for Minkowski metric,Partial distortion search,MPS,Improved absolute error inequality criterion

论文评审过程:Received 26 June 1997, Revised 5 March 1998, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(98)00044-2