中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast filtering image fusion

文献类型:期刊论文

作者Zhan, Kun1; Xie, Yuange1; Wang, Haibo1; Min, Yufang2
刊名JOURNAL OF ELECTRONIC IMAGING
出版日期2017-11-01
卷号26期号:6页码:18
ISSN号1017-9909
关键词structure-preserving filter image fusion multimodal information fusion
DOI10.1117/1.JEI.26.6.063004
通讯作者Zhan, Kun(kzhan@lzu.edu.cn)
英文摘要Image fusion aims at exploiting complementary information in multimodal images to create a single composite image with extended information content. An image fusion framework is proposed for different types of multimodal images with fast filtering in the spatial domain. First, image gradient magnitude is used to detect contrast and image sharpness. Second, a fast morphological closing operation is performed on image gradient magnitude to bridge gaps and fill holes. Third, the weight map is obtained from the multimodal image gradient magnitude and is filtered by a fast structure-preserving filter. Finally, the fused image is composed by using a weighed-sum rule. Experimental results on several groups of images show that the proposed fast fusion method has a better performance than the state-of-the-art methods, running up to four times faster than the fastest baseline algorithm. (C) 2017 SPIE and IS&T
收录类别SCI
WOS关键词MULTISCALE-DECOMPOSITION ; PERFORMANCE ; TRANSFORM ; REPRESENTATION ; REGISTRATION
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
WOS类目Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
语种英语
出版者IS&T & SPIE
WOS记录号WOS:000419961800017
URI标识http://www.irgrid.ac.cn/handle/1471x/2558065
专题寒区旱区环境与工程研究所
通讯作者Zhan, Kun
作者单位1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Zhan, Kun,Xie, Yuange,Wang, Haibo,et al. Fast filtering image fusion[J]. JOURNAL OF ELECTRONIC IMAGING,2017,26(6):18.
APA Zhan, Kun,Xie, Yuange,Wang, Haibo,&Min, Yufang.(2017).Fast filtering image fusion.JOURNAL OF ELECTRONIC IMAGING,26(6),18.
MLA Zhan, Kun,et al."Fast filtering image fusion".JOURNAL OF ELECTRONIC IMAGING 26.6(2017):18.

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来源:寒区旱区环境与工程研究所

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