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Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement
Ren, Long1,2,3; Pan, Zhibin2,5,6; Cao, Jianzhong1; Liao, Jiawen1,2,3; Wang, Yang4,5
作者部门飞行器光学成像与测量技术研究室
2021-05
发表期刊Infrared Physics and Technology
ISSN13504495
卷号114
产权排序1
摘要

With extraordinary advances in sensor technology, infrared and visible image fusion has been widely used in both military and civilian applications. In this paper, we propose a novel image fusion method based on decomposition and division based strategy. The proposed method improves the guided filter to better decompose images and restrict artifacts around image boundaries. Furthermore, because the quality of visible images is easily affected by low light conditions and noises, it is necessary to enhance the contrast of visible images to improve the visual quality before applying image fusion. Subsequently, we divide the infrared and visible image into several sub-images in vertical direction, because there is more similar image content in this direction such as the sky and land. Additionally, each sub-image is decomposed into a base layer and a detail layer. Different from previous methods, the fusion in our proposed method is executed by two different strategies, one takes the sub infrared base layer as the main image to get the fusion result, while the other one takes the sub visible base layer as the main image, and two different sub-fusion results are obtained. We also propose a new fusion strategy called gradient-brightness criterion to adaptively output the final fused image. As a result, the fused image preserves more details of visible image and clearer infrared objects at the same time, which is well suited for human visual perception. Experimental results indicate that our proposed method achieves a superior performance compared with previous fusion methods in both subjective and objective assessments. © 2021 Elsevier B.V.

关键词Improved guided filter Two-scale image decomposition Contrast enhancementImage fusion
DOI10.1016/j.infrared.2021.103662
收录类别SCI ; EI
语种英语
WOS记录号WOS:000634644700001
出版者Elsevier B.V.
EI入藏号20210809943896
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/94509
专题飞行器光学成像与测量技术研究室
通讯作者Ren, Long
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.Faculty of Electronics and Communications, Xi'an Jiaotong University, Xi'an; 710049, China;
3.University of Chinese Academy of Sciences, Beijing; 100049, China;
4.Department of Information Science, Xi'an University of Technology, Xi'an; 710048, China;
5.Research Institute of Xi'an Jiaotong University, Zhejiang; 311215, China;
6.State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China
推荐引用方式
GB/T 7714
Ren, Long,Pan, Zhibin,Cao, Jianzhong,et al. Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement[J]. Infrared Physics and Technology,2021,114.
APA Ren, Long,Pan, Zhibin,Cao, Jianzhong,Liao, Jiawen,&Wang, Yang.(2021).Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement.Infrared Physics and Technology,114.
MLA Ren, Long,et al."Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement".Infrared Physics and Technology 114(2021).
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