大容量图像分层方法研究  

Research on layering large-data image

作　　者：刘晓慧 席志红[1] 肖春丽[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2009年第6期17-20,共4页Applied Science and Technology

基　　金：哈尔滨市基金资助项目(2004AFLXJ009)

摘　　要：为了解决大容量图像处理速度慢的问题,总结了3种图像分层方法:按频率分层、小波变换方法分层、二维经验模式多尺度方法分层,并对二维经验模式多尺度分层方法进行了改进.实验结果表明小波变换方法分层更有适用于大容量图像的分层,为大容量图像处理提供了预处理.To speed up the large-data image processing, the authors summarized three methods of image layering, i.e. layering based on frequency, wavelet transform and 2D empirical mode multi-dimensional methods. Besides, the 2D empirical mode multi-dimensional method was improved. The simulation results show that wavelet transform method was most suitable for layering large-data images. The authors also provided the pretreatment before large-data image processing.

关 键 词：大容量图像 全景图像 图像分层 分辨率 

分 类 号：TN911.73[电子电信—通信与信息系统]