计算机工程与应用Issue(14)：147-151,5.DOI:10.3778/j.issn.1002-8331.1202-0028
均值与矢量量化复合快速图像编码算法
Mean-value and vector quantization hybrid algorithm for high speed image cod-ing
摘要
Abstract
As an effective technology for data compression, Vector Quantization(VQ)is widely used in the field of data coding because of its simple algorithm and high compression rate. According to analyzing the character of image block, a hybrid algo-rithm combining mean-value and VQ is presented in this paper, which encodes smooth image block and nonsmooth block by mean-value and VQ algorithm respectively. The presented algorithm can save the storage space by removing the smooth code-words in the codebook and speed up encoding process. In order to improve the storage efficiency, the algorithm which can com-press original codebook to 1/8 by rotating and reversing codewords is adopted. At the same time, the search algorithm is opti-mized using Extend Block Nearest Neighbor(EBNNS)method. The whole system encoding speed can achieve about 7.7 times faster than full search VQ algorithm.关键词
图像编码/矢量量化/均值编码Key words
image coding/vector quantization/mean-value coding分类
信息技术与安全科学引用本文复制引用
王冬芳,李佳,余宁梅..均值与矢量量化复合快速图像编码算法[J].计算机工程与应用,2013,(14):147-151,5.基金项目
陕西省自然科学研究计划（No.2011JQ8032）；西安理工大学自然科学研究计划（No.105-210907）。 （）
