Pixel level image fusion scheme based on accumulated gradient and PCA transform

作     者：LI Bo L V Hai-lian 

作者机构：College of Software Engineering Pingdingshan University Pingdingshan 467002 China 

出 版 物：《通讯和计算机（中英文版）》 (Journal of Communication and Computer)

年 卷 期：2009年第6卷第2期

页      面：49-54页

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Acknowledgement: This work is supported by the National Science Foundation of China (No. 60873104) 

主　　题：图像融合方法 梯度 双树复小波变换 图像处理 

摘      要：A new image fusion scheme based on local accumulated gradient and PCA transform is presented. The image fusion process begins by taking the Dual tree complex wavelet transform of the source images. Then, the fused local detailed coefficients are chosen according to local accumulated gradient rule, and the fused approximate coefficients are acquired by selection or averaging rule based on PCA. Finally, the fused image can be obtained by taking the inverse dual tree complex wavelet transform of the fused composite coefficients. The experimental results show that the proposed method is an efficient approach to image fusion.