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
ISSN2169-3536
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
DOI10.1109/access.2019.2913289
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收录类别SCI ; EI
语种英语
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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
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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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