嵌入式小波编码算法的仿真研究  

Simulation with the embedded wavelet coding algorithm

作　　者：韩建伟[1] 房建东[1] 

机构地区：[1]内蒙古工业大学信息工程学院,呼和浩特010051

出　　处：《电子测量技术》2008年第12期142-146,共5页Electronic Measurement Technology

基　　金：国家电子信息产业发展基金项目(XBY2007329)

摘　　要：EZW嵌入式零树小波算法和SPIHT多级树集合分裂算法具有较好的性能,是嵌入式图像编码的代表算法。为了从多方面区分这两种算法的不同,对同一副灰度图像分别应用这两种算法进行了基于MATLAB的仿真,实现了压缩并重构。算例分析表明,SPIHT算法在基于EZW算法基础上并没有重大突破;然后分别基于视觉冗余,峰值信噪比和有效性三方面对比说明了各自的特点;最后就比较结果,应用领域和改进空间三方面进行了总结,得出在不同的背景需求下选取这两种算法的依据。EZW （Embedded Zerotree Wavelet） algorithm and SPIHT （Set Partitioning in Hierarchical Trees） algorithm have better performance, as on behalf of the embedded coding algorithm. In order to distinguish the two algorithms, the compression and reconstruction are completed by simulating a gray image based on MATLAB; SPIHT algorithm is based on EZW, but has no major breakthroughs. Then, their characteristics are respectively contrasted through visual redundant,peak-to-noise ratio and validity. Finally,there are three aspects,i, e~ ,the comparative results,applications and improving space are concluded, and the basis of the algorithm in a different background.

关 键 词：图像压缩 嵌入式编码 嵌入式零树小波算法 多级树集合分裂算法 

分 类 号：TP273-2[自动化与计算机技术—检测技术与自动化装置]