Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Guilin University of Technology》 2009-04
Add to Favorite Get Latest Update

Image Fusion Based on KPCA and Wavelet Transform

YU Sen1,2,CHEN Chun-xiang1(1.College of Information Science and Engineering,Guilin University of Technology,Guilin 541004,China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100049,China)  
A new image fusion method is found which is based on KPCA and wavelet transform.KPCA transform can retain the main premise of the information,reduce the band between redundant data and the amount of data processing,and improve the efficiency of fusion.By the KPCA transform statistical analysis,the best bands are chosen to composite new color image,with enhanced full color image fusion.The experimental results show that the new method based on KPCA and wavelet transform is better than other two methods.
【Fund】: 国家重点基础研究发展计划(973)基金资助项目(2001CD409809);; 科技部社会公益研究专项基金资助项目(国科发财字[2003]426)
【CateGory Index】: TP751
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved