Technique for image fusion based on non-subsampled contourlet transform domain improved NMF

作     者：KONG WeiWei1,LEI YingJie1,LEI Yang1 & ZHANG Jie2 1Department of Computer Engineering,Missile Institute,Air Force Engineering University,Xi'an 713800,China 2Department of Computer,Qinghai University,Xining 810016,China 

作者机构：Department of Computer Engineering Missile Institute Air Force Engineering University Xi’an China Department of Computer Qinghai University Xining China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2010年第53卷第12期

页      面：2429-2440页

核心收录：

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：supported by the National Natural Science Foundation of China (Grant No. 60773209) 

主　　题：image fusion non-subsampled contourlet transform nonnegative matrix factorization singular value decomposition 

摘      要：To overcome the problem of multi-sensor image fusion,a technique for image fusion based on non-subsampled contourlet transform(NSCT) domain improved nonnegative matrix factorization(NMF) is ***,by using NSCT,multi-scale and multi-direction sparse decompositions of source images are ***,an improved NMF technique is utilized to complete the fusion of low-frequency *** low-frequency fused image can be produced fast by the process which does not involve the randomization of the vectors W and H at all,in addition,the fusion course of high-frequency sub-images can be dealt with by use of the model of adaptive unit-fast-linking pulse coupled neural network(AUFLPCNN).Finally,the ultimate fused image can be obtained by synthesizing all sub-images with inverse *** simulated experiments show that the technique is effective.