小波变换在多光谱图象压缩中的应用  

Application of Wavelet Transform in Multi Spectral Image Compression

作　　者：王沛[1] 袁晓兵[1] 黄廉卿[1] 

机构地区：[1]中国科学院长春光学精密机械研究所五室,吉林长春130022

出　　处：《光电工程》2000年第3期43-46,共4页Opto-Electronic Engineering

基　　金：国家 8 63 -2高技术研究计划资助项目

摘　　要：机载高分辨率成象光谱仪所记录的数据量很大 ,而采用普通的压缩方法其精度满足不了事后处理的要求。因此利用小波变换 ,将图象分解成不同的频率区域 ,再根据多光谱图象的特点进行编码压缩 ,较好地完成了压缩编码的任务 ,与通用的压缩方法相比 ,不易产生细节模糊 ,具有更高的精度。The data recorded by airborne high resolution imaging spectrograph are large and the accuracy of common compression method cannot fulfil the requirements of the post processing.For this reason the image will be analyzed into different frequency domains and by means of wavelet transform,then they will be coded and compressed according to multi spectral image,thus the compression can be carried out in a better way.Compared with the common compression method,this method will not appear fuzzy case and has a higher accuracy.

关 键 词：数据压缩 图象压缩 多光谱图象 小波变换 

分 类 号：TN919.81[电子电信—通信与信息系统]