计算机工程与应用2011，Vol.47Issue(23)：185-187,3.DOI:10.3778/j.issn.1002-8331.2011.23.052
基于BEMD和PCA的数字图像压缩
Digital image compression based on BEMD and PCA
摘要
Abstract
Binary Empirical Mode Decomposition (BEMD) is a kind of adaptive method of data-driven, which -is primary function dependent.Principle Component Analysis algorithm has an excellent performance in decorrelation and high compression ratio.Therefore.in this paper,a new method for compressing is proposed,which is implemented by first decomposing the original image through BEMD and then using the PCA algorithm to compress the decomposed subimages.By simulating on the Matlab.the validity and the superiority of this method are proved, and basically achieve the goal of a high signal to noise ratio under a high compression ratio.关键词
二维经验模式分解/主成分分析/峰值信噪比/数字图像压缩Key words
Binary Empirical Mode Decomposition (BEMD)/ Principle Component Analysis (PCA)/ Peak Signal to Noice Ratio (PSNR)/ digital image compression分类
信息技术与安全科学引用本文复制引用
蔡碧野,向军..基于BEMD和PCA的数字图像压缩[J].计算机工程与应用,2011,47(23):185-187,3.基金项目
湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.09JJ3120) （the Natural Science Foundation of Hunan Province of China under Grant No.09JJ3120）
长沙市科技计划重点项目(No.k0904028-11):湖南省教育厅科学研究项目(No.07C083.No.08C 103). （No.k0904028-11）
