基于提升小波变换和SPIHT的医学图像编码算法  

Medical Image Coding Based on Lifting Wavelets Transform and SPIHT

作　　者：徐效文[1] 王伟[1] 

机构地区：[1]中南大学信息物理工程学院,湖南长沙410083

出　　处：《中国医学物理学杂志》2010年第2期1755-1757,1780,共4页Chinese Journal of Medical Physics

基　　金：中国博士后科学基金(No.20060390067)

摘　　要：目的:探讨一种基于提升小波变换和多级树集合分裂算法(set partitioning in hierarchical trees,SPIHT)的医学图像编码算法。方法:针对传统小波浮点数运算,计算量大的缺点,采用提升格式小波,结合多级树集合分裂算法和算术编码,实现对医学图像的编码。结果:在获得较高压缩比的情况下,能保证医学图像的重建质量,满足医学图像数据的存储和传输的需要。结论:仿真结果表明在相同压缩比的情况下,重建图像的峰值信噪比有明显提高,获得了较好的压缩效果。Objective：It proposed a new arithmetic of medical image coding based on the lifting scheme wavelets and the set partitioning in hierarchical trees. Methods： Due to the computational complexity of the traditional wavelet, the lifting scheme, which could speed up the fast wavelet transform, was adopted instead of the traditional wavelet transform. With the comprehensive utilization of SP^IT and arithmetic coding, it could achieve to code medical images. Results： At a range of compression ratio, the peak signal to noise ratio was markedly improved, and it could ensure the quality of the reconstruction of medical image to meet the medical image data storage and transmission needs. Conclusions： The simulation experiments show that at the same bit rate, the peak signal to noise ratio is markedly improved.

关 键 词：提升小波变换 多级树集合分裂算法 医学图像编码 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]