整型提升小波变换的块编码在医学图像压缩中的应用  

Application of Integer Lifting Wavelet Transform and Subblock Coding to Medical Image Compression

作　　者：吕晓琪[1] 徐晓昭[1] 杨立东[1] 

机构地区：[1]内蒙古科技大学信息工程学院,包头014010

出　　处：《生物医学工程学杂志》2008年第2期241-245,共5页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(60361002)

摘　　要：提出一种基于整型提升小波变换的图像块压缩编码方法。整型提升小波变换具有计算快速、能实现任意图像尺寸的小波算法、能在当前位置完成小波变换、节省内存等特点,而且该提升算法能同时对图像进行有损或无损压缩,因而更适应于远程医疗系统和医学图像压缩系统。基于图像块压缩编码方法不仅可以实现比特率控制,还可以实现SNR(信噪比)可缩放性,支持图像的渐进传输。The method of subblock coding for medical image compression is presented by means of the integer lifting wavelet transform. The integer lifting wavelet transform has better effects on improving the processing speed; it can achieve wavelet transform for arbitrary size image and accomplish the transform at current position; furthermore, it can save memory space. The lifting algorithm can deal with the lossless compression and loss compression of image simultaneously, so it is adapted to telemedicine system and medical image compression system. The compression method based on image subblock coding can not only realize controlling BR（bit ratio）, but also realize SNR（signal noise ratio） and suit for progressive transform.

关 键 词：整型小波变换 提升方案 块编码 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]