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Journal of Electronic Imaging

Fast filtering image fusion
Author(s): Kun Zhan; Yuange Xie; Haibo Wang; Yufang Min
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Paper Abstract

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.

Paper Details

Date Published: 7 November 2017
PDF: 18 pages
J. Electron. Imag. 26(6) 063004 doi: 10.1117/1.JEI.26.6.063004
Published in: Journal of Electronic Imaging Volume 26, Issue 6
Show Author Affiliations
Kun Zhan, Lanzhou Univ. (China)
Yuange Xie, Lanzhou Univ. (China)
Haibo Wang, Lanzhou Univ. (China)
Yufang Min, Chinese Academy of Sciences (China)


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