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	An Adaptive Two-Scale Image Fusion of visible and Infrared Images
	X.Y.Han; T.Lv; X.Y.Song; T.Nie; H.D.Liang; B.He; A.Kuijper
刊名	Ieee Access
	2019
卷号	7页码:56341-56352
关键词	Fusion global-local-topology particle swarm optimization (FGLT-PSO),guided filter,image fusion
ISSN号	2169-3536
DOI	10.1109/access.2019.2913289
英文摘要	In this paper, we proposed an adaptive two-scale image fusion method using latent low-rank representation (LatLRR). First, both IR and VI images are decomposed into a two-scale representation using LatLRR to generate low-rank parts (the global structure) and saliency parts (the local structure). The algorithm denoises at the same time. Then, the guided filter is used in the saliency parts to make full use of the spatial consistency, which reduces artifacts effectively. With respect to the fusion rule of the low-rank parts, we construct adaptive weights by adopting fusion global-local-topology particle swarm optimization (FGLT-PSO) to obtain more useful information from the source images. Finally, the resulting image is reconstructed by adding the fused low-rank part and the fused saliency part. The experimental results validate that the proposed method outperforms several representative image fusion algorithms on publicly available datasets for infrared and visible image fusion in terms of subjective visual effect and objective assessment.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/63341]
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	X.Y.Han,T.Lv,X.Y.Song,et al. An Adaptive Two-Scale Image Fusion of visible and Infrared Images[J]. Ieee Access,2019,7:56341-56352.
APA	X.Y.Han.,T.Lv.,X.Y.Song.,T.Nie.,H.D.Liang.,...&A.Kuijper.(2019).An Adaptive Two-Scale Image Fusion of visible and Infrared Images.Ieee Access,7,56341-56352.
MLA	X.Y.Han,et al."An Adaptive Two-Scale Image Fusion of visible and Infrared Images".Ieee Access 7(2019):56341-56352.

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