首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波变换的改进影像金字塔模型
引用本文:袁昱纬,全吉成,吴婧文,刘宇,赵秀影.基于小波变换的改进影像金字塔模型[J].电子设计工程,2012,20(11):183-186.
作者姓名:袁昱纬  全吉成  吴婧文  刘宇  赵秀影
作者单位:空军航空大学特种专业系,吉林长春,130022
摘    要:随着遥感影像数据量不断增长,为了更加高效地组织与管理海量的遥感影像,研究并提出了改进的基于小波分解的影像金字塔构建方法。利用多分辨率分析和图像的小波分解与重构算法,参考影像金字塔构建的一般方法,将图像小波分解的不同级系数量化、编码后,分别存储于金字塔的不同层中。该构建方法可以有效地降低金字塔各层之间的数据冗余,减少总数据量和浏览时的数据流量,并能更好地支持嵌入式码流和渐进式传输。

关 键 词:多分辨率分析  小波分解与重构  影像金字塔  海量遥感影像管理

Improved image pyramid model based on wavelet transform
YUAN Yu-wei,QUAN Ji-cheng,WU Jing-wen,LIU Yu,ZHAO Xiu-ying.Improved image pyramid model based on wavelet transform[J].Electronic Design Engineering,2012,20(11):183-186.
Authors:YUAN Yu-wei  QUAN Ji-cheng  WU Jing-wen  LIU Yu  ZHAO Xiu-ying
Affiliation:(Department of Special Service,Aviation University of Air Force,Changchun 130022,China)
Abstract:With the growing volume of the remote sensing image data,in order to more efficiently organize and manage the massive amounts of remote sensing images,a improved image pyramid construction method based on wavelet decomposition has been researched and proposed.Using the multi-resolution analysis,the decomposition and reconstruction algorithm of wavelet,referencing the general way to construct an image pyramid,quantifying and coding the different levels of wavelet decomposition coefficient,respectively stored in different layers of the pyramid.The construction method can effectively reduce the data redundancy in the pyramid between the layers,reducing the total amount of data and browsing data traffic,and having a better support to the embedded code stream and progressive transmission.
Keywords:Multi-resolution analysis  Wavelet decomposition and reconstruction  Image pyramid  massive Remote sensing image management
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号