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

被引：0
作者：
WeiWei Kong
YingJie Lei
Yang Lei
Jie Zhang
机构：
[1] Air Force Engineering University,Department of Computer Engineering, Missile Institute
[2] Qinghai University,Department of Computer
来源：
Science China Information Sciences | 2010年 / 53卷
关键词：
image fusion; non-subsampled contourlet transform; nonnegative matrix factorization; singular value decomposition;
D O I：
暂无
中图分类号：
学科分类号：
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 presented. Firstly, by using NSCT, multi-scale and multi-direction sparse decompositions of source images are performed. Then, an improved NMF technique is utilized to complete the fusion of low-frequency sub-images. The 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 NSCT. The simulated experiments show that the technique is effective.
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页码：2429 / 2440
页数：11
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