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

Authors

639

  1. YC
    Yi Chai

    Chongqing University, China

    6 publications · 352 citations

    6

    h-index

  2. HL
    Huafeng Li

    Kunming University of Science and Technology, China

    5 publications · 241 citations

    5

    h-index

  3. AD
    Ayush Dogra

    Chandigarh University, India

    4 publications · 132 citations

    4

    h-index

  4. XQ
    Xiaobo Qu

    Xiamen University, China

    4 publications · 480 citations

    4

    h-index

  5. WK
    Weiwei Kong

    Chinese People's Armed Police Force Engineering University, China

    4 publications · 306 citations

    4

    h-index

1–5 of 639

Venues

  1. Multimedia Tools and Applications

    12 publications · 333 citations

    12

    h-index

  2. Infrared Physics & Technology

    9 publications · 708 citations

    9

    h-index

  3. Optik

    9 publications · 393 citations

    9

    h-index

  4. Information Fusion

    9 publications · 3.1K citations

    9

    h-index

  5. Signal Processing

    6 publications · 1.1K citations

    6

    h-index

1–5