General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform

doi:10.1016/j.infrared.2018.05.006

CIOMP OpenIR

	General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform
	Cheng, B. Y.; Jin, L. X.; Li, G. N.
	2018
发表期刊	Infrared Physics & Technology
ISSN	1350-4495
卷号	92 页码:68-77
摘要	This study establishes the general fusion method for infrared and visual images via latent low-rank representation (LatLRR) and local non-sampled shearlet transform (LNSST) to effectively combine the salient information of both images and solve problems on low-contrasting heterogeneous image fusion. First, LNSST is used as a multi-scale analysis tool to decompose the source images into low-pass and high-pass sub-images. Second, the LatLRR, which is an effective method for exploring multiple subspace structural data, is used to extract the salient information of image sources. Thus, the LatLRR can be adopted to guide the adaptive weighted fusion of low-pass sub-images. Simultaneously, the average gradient, which can reflect image edge details, is regarded as the fusion rule for high-pass sub-images. A series of images from diverse scenes are used for the fusion experiments, and the results are evaluated subjectively and objectively. The subjective and objective evaluations show that our algorithm exhibited superior visual performance, and the values of the objective evaluation parameters increase by about 5-10% compared with other typical fusion methods.
关键词	Latent low-rank representation Local non-subsampled shearlet transform Salient features Image fusion visible-light contourlet transform feature-extraction nsct domain algorithm pcnn nsst Instruments & Instrumentation Optics Physics
DOI	10.1016/j.infrared.2018.05.006
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61002
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Cheng, B. Y.,Jin, L. X.,Li, G. N.. General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform[J]. Infrared Physics & Technology,2018,92:68-77.
APA	Cheng, B. Y.,Jin, L. X.,&Li, G. N..(2018).General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform.Infrared Physics & Technology,92,68-77.
MLA	Cheng, B. Y.,et al."General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform".Infrared Physics & Technology 92(2018):68-77.

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