Transform-domain Image Fusion
Transform-Domain Image Fusion is a method of image fusion that operates by transforming source images into a mathematical domain (such as wavelet, Fourier, or contourlet) to facilitate the integration of complementary information through coefficient manipulation, distinguishing it from spatial-domain approaches by leveraging frequency and multi-scale representations for enhanced feature preservation.
225
Publications
13.3K
Citations
639
Authors
254
Institutions
Publications per year
2017–2026
84
Parents
225
1–5 of 225
639
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h-index
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Chinese People's Armed Police Force Engineering University, China
4 publications · 306 citations
4
h-index
1–5 of 639
254

Chinese Academy of Sciences
Beijing, China
10 h-index
20 publications
1.9K citations

Chongqing University
Chongqing, China
8 h-index
23 publications
1.2K citations

Xidian University
Xi'an, China
6 h-index
20 publications
2.4K citations
Sri Sivasubramaniya Nadar College of Engineering
Chennai, India
5 h-index
12 publications
394 citations
Jiangxi University of Finance and Economics
Nanchang, China
4 h-index
12 publications
794 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
7 publications
1.1K citations
National University of Sciences and Technology
Islamabad, Pakistan
4 h-index
10 publications
208 citations

Beijing Institute of Technology
Beijing, China
4 h-index
11 publications
266 citations
1–8 of 254
12 publications · 333 citations
12
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9 publications · 708 citations
9
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9 publications · 393 citations
9
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9 publications · 3.1K citations
9
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6 publications · 1.1K citations
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1–5