Variational multi-source image fusion based on the structure tensor

	Variational multi-source image fusion based on the structure tensor
	Zhao W. D.; Zhao J.; Xu Z. J.
	2013
发表期刊	Acta Physica Sinica
ISSN	ISBN/1000-3290
卷号	62 期号:21
摘要	This article describes the variational multi-source image fusion using the structure tensor algorithm, which can keep the image features and details very well. We first narrative the fusion gradient field based on structure tensor, then measure the characteristic graphs of each source image, and thus construct a weight value for the source image gradient according to the characteristic graph. Gradients with high image features are highlighted in the fusion gradient field, and thus image features in the sources are well preserved. By using variational partial differential equation, the fusion image is reconstructed from the target gradient field. From the actual experimental results, the average gradient value and entropy of the fused image are found to be higher than those obtained by using the wavelet transform algorithm, tower decomposition algorithm, and direct gradient fusion algorithm, and the visual effect of the fusion image is good enough to retain the feature of source images and details in it. Therefore, it can give qualified image information for target detection and identification.
收录类别	SCI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40926
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhao W. D.,Zhao J.,Xu Z. J.. Variational multi-source image fusion based on the structure tensor[J]. Acta Physica Sinica,2013,62(21).
APA	Zhao W. D.,Zhao J.,&Xu Z. J..(2013).Variational multi-source image fusion based on the structure tensor.Acta Physica Sinica,62(21).
MLA	Zhao W. D.,et al."Variational multi-source image fusion based on the structure tensor".Acta Physica Sinica 62.21(2013).

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