基于多小波变换的医学图像分形压缩方法研究  

Medical Image Compression Based on Multi-wavelet Transform and Fractal Compression

作　　者：杨强[1,2] 王华军[1] 罗学刚[1] 

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

出　　处：《科学技术与工程》2013年第24期7230-7233,共4页Science Technology and Engineering

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)资助

摘　　要：针对医学图像分析与压缩的特殊要求,将多小波变换和分形压缩理论引入到医学图像压缩中。首先对医学图像进行多小波变换,较好地保持了医学图像的边缘和细节信息,再采用分形压缩方法对图像进行压缩。实验表明,算法在保持一定医学图像质量和较高压缩比的前提下,编码时间大大减少,结合多小波变换的医学图像分形压缩方法在临床应用取得较好效果。According to the special requirements of medical image analysis and compression, the multi-wavelet transform and fractal compression theory is introduced into the medical image compression. First , multi-wavelet transform for the medical image is maken, better to keep the image edges and details , then fractal compression method to compress medical images is used. Experiments show that, this algorithm in the premise of keeping the quality of medical image and high compression ratio, the encoding time is greatly reduced. Fractal on the compres- sion of medical image is very effective in clinical application.

关 键 词：医学图像 多小波变换 分形压缩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]