An Adaptive Two-Scale Image Fusion of visible and Infrared Images

doi:10.1109/access.2019.2913289

CIOMP OpenIR

	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
	2019
发表期刊	Ieee Access
ISSN	2169-3536
卷号	7 页码:56341-56352
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.
关键词	Fusion global-local-topology particle swarm optimization (FGLT-PSO),guided filter,image fusion
DOI	10.1109/access.2019.2913289
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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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