Fusion image assessment based on local variance and singular value decomposition

	Fusion image assessment based on local variance and singular value decomposition
	Wang, Y.-Q.
	2015
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号	23 页码:516-522
摘要	Image fusion is not only relative to the transfer of quantized information, but also should take if the information transfer can be accepted by human vision into account. Therefore, this paper designs a fusion image objective assessment method based on local variance and singular value decomposition to combine various human visual system sensitive information into an image. In order to assess the improvement of information, the local variance was used to describe the structure information of the image. As the local variance was sensitive to image details greatly, the singular value decomposition was used to obtain a energy matrix to display the local variance distribution. Then the mutual information was taken to measure the structure difference of source image and fusion image. Finally, the comparison above mentioned was taken as the assessment results. Experiment results show that the proposed method gives the best performance for the wavelet and pyramid methods, and the assessment results are 2.8790, 1.9225 and 2.6298, 1.9103, respectively, which has better consistency as compared with those of traditional human visual systems. 2015, Chinese Academy of Sciences. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56102
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang, Y.-Q.. Fusion image assessment based on local variance and singular value decomposition[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2015,23:516-522.
APA	Wang, Y.-Q..(2015).Fusion image assessment based on local variance and singular value decomposition.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,23,516-522.
MLA	Wang, Y.-Q.."Fusion image assessment based on local variance and singular value decomposition".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 23(2015):516-522.

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基于局部方差和互信息的融合图像质量评价.（2356KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览请求全文