IMAGE FUSION BASED ON PRINCIPAL COMPONENT ANALYSIS IN DUAL-TREE COMPLEX WAVELET TRANSFORM DOMAIN

被引：0
|
作者：
Yan, Yue-Hao [1 ]
Linping-Li [2 ]
Fubo [2 ]
Yang, Ya-Zhi [1 ]
机构：
[1] Chengdu Technol Univ China, Dept Comp Engn, Chengdu 611730, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (LCWAMTIP) | 2012年
基金：
美国国家科学基金会;
关键词：
Image Fusion; Dual-Tree Complex Wavelet Transform; Principal Component Analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper propose an new image fusion method based on principal component analysis and dual-tree complex wavelet transform(DWCWT), which uses DTCWT to decompose the source images in a multi-scale and multi-direction way and then fuse the related information together according some fusion rules. This approach combines principal component analysis based image fusion rule and dual-tree complex wavelet transform, we named the new method combining the dual-tree complex wavelet transform and PCA as DTCWT-PCA image fusion algorithm. The experimental results demonstrate that our method is effective and competitive.
引用
收藏
页码：70 / 73
页数：4
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