EFFICIENT CODEBOOKS FOR VECTOR QUANTIZATION IMAGE COMPRESSION WITH AN ADAPTIVE TREE-SEARCH ALGORITHM

被引：7

作者：

SITARAM, VS ^{[1
]}

HUANG, CM ^{[1
]}

ISRAELSEN, PD ^{[1
]}

机构：

[1] UTAH STATE UNIV, DEPT ELECT ENGN, LOGAN, UT 84322 USA

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 1994年 / 42卷 / 11期

关键词：

D O I：

10.1109/26.328984

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper discusses some algorithms to be used for the generation of an efficient and robust codebook for vector quantization (VQ). Some of the algorithms reduce the required codebook size by 4 or even 8 b to achieve the same level of performance as some of the popular techniques. This helps in greatly reducing the complexity of codebook generation and encoding. We also present a new adaptive tree search algorithm which improves the performance of any product VQ structure. Our results show an improvement of nearly 3 dB over the fixed rate search algorithm at a bit rate of 0.75 b/pixel.

引用

页码：3027 / 3033

页数：7

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