Multimodal Image Fusion
Multimodal Image Fusion is an image fusion technique that integrates complementary information from multiple images acquired by different sensing modalities to produce a single, more informative and reliable representation.
1.1K
Publications
79K
Citations
3.3K
Authors
1K
Institutions
Publications per year
2017–2026
686
Parents
1.1K
Image Fusion With Guided Filtering
Shutao Li, Xudong Kang, Jianwen Hu · IEEE Transactions on Image Processing · 2013 · 1.8K citations
Information measure for performance of image fusion
Qu Guihong, Dali Zhang, Yan Pingfan · Electronics Letters · 2002 · 1.4K citations · Full text
Multi-focus image fusion with a deep convolutional neural network
Yü Liu, Xun Chen, Hu Peng et al. · Information Fusion · 2016 · 1.3K citations
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Chongqing University of Posts and Telecommunications, China
18 publications · 1.7K citations
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Wuhan University
Wuhan, China
33 h-index
127 publications
36.5K citations

Xidian University
Xi'an, China
22 h-index
85 publications
7.5K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
22 h-index
76 publications
7.5K citations
Yunnan University
Kunming, China
21 h-index
131 publications
8K citations

Hefei University of Technology
Hefei, China
20 h-index
56 publications
13.7K citations
University of Science and Technology of China
Hefei, China
18 h-index
26 publications
4.7K citations

Beihang University
Beijing, China
18 h-index
56 publications
2.9K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
81 publications
2.5K citations
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52 publications · 9.8K citations
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33 publications · 1.7K citations
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30 publications · 3.5K citations
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21 publications · 5.8K citations
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22 publications · 1.3K citations
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