Lifting Scheme的Haar小波在医学图像压缩中的应用研究  

The application of Haar wavelet based on Lifting Scheme in medical image compression

作　　者：杨强[1,2] 王华军[2] 罗学刚[2] 

机构地区：[1]宜宾学院计算机与信息工程学院,四川宜宾644000 [2]成都理工大学地球物理学院,四川成都610059

出　　处：《苏州科技学院学报（工程技术版）》2013年第2期72-75,共4页Journal of Suzhou University of Science and Technology （Engineering and Technology）

基　　金：国家自然科学基金青年科学基金项目(61202195/F020502);四川省教育厅科研基金项目(13ZB0212);四川省宜宾市重点科技项目(2012SF016);宜宾学院校级科研项目(2012S09)

摘　　要：针对医学图像进行实时传输和大量存储时需要进行压缩处理的需求,论述了Lifting Scheme的Haar小波在医学图像压缩中的应用方法。首先,分析了Haar小波的变换原理,然后阐述了基于提升Haar小波的医学图像压缩算法。实验表明,在压缩比和峰值信噪比等评价参数方面,基于Lifting Scheme的Haar小波算法在医学图像压缩中取得了较好效果。Abstract： According to the compression in the real-time transmission and a large amount of storage for medical image, the application of Haar wavelet based on the Liffing Scheme in the medical image compression has been discussed. The principle of Haar wavelet change is firstly analyzed, and then the medical image compression al- gorithm of Haar wavelet based on the Lifting Scheme is discussed. Experiments show that the algorithm of Haar wavelet based on the Lifting Scheme have obtained good results in evaluation parameters such as the medical im- age compression ratio and the ratio of the peak signal to noise.

关 键 词：提升格式 HAAR小波 医学图像压缩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]