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大容量图像分层方法研究
引用本文:刘晓慧,席志红,肖春丽.大容量图像分层方法研究[J].应用科技,2009,36(6):17-20.
作者姓名:刘晓慧  席志红  肖春丽
作者单位:哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001
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.

关 键 词:大容量图像  全景图像  图像分层  分辨率

Research on layering large-data image
LIU Xiao-hui,XI Zhi-hong,XIAO Chun-li.Research on layering large-data image[J].Applied Science and Technology,2009,36(6):17-20.
Authors:LIU Xiao-hui  XI Zhi-hong  XIAO Chun-li
Institution:( College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract: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.
Keywords:large data images  panoramic image  image layering  resolution
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