Wavelet-based Image Fusion

Wavelet-Based Image Fusion is a multisensor image integration technique that employs wavelet transforms to decompose source images into spatial-frequency subbands, subsequently merging them according to predefined rules to produce a composite image with enhanced information content and spatial resolution.

429

Publications

25.2K

Citations

1.1K

Authors

406

Institutions

Publications per year

2017–2026

92

Authors

1.1K

  1. DB
    David Bull

    University of Bristol, United Kingdom

    9 publications · 1.5K citations

    9

    h-index

  2. YY
    Yong Yang

    Jiangxi University of Finance and Economics, China

    8 publications · 466 citations

    8

    h-index

  3. SH
    Shuying Huang

    Jiangxi University of Finance and Economics, China

    5 publications · 339 citations

    5

    h-index

  4. AK
    Ashish Khare

    University of Allahabad, India

    5 publications · 495 citations

    5

    h-index

  5. XO
    Xavier Otazu

    Universitat Autònoma de Barcelona, Spain

    5 publications · 2.2K citations

    5

    h-index

1–5 of 1.1K

Venues

  1. 14

    h-index

  2. Multimedia Tools and Applications

    8 publications · 205 citations

    8

    h-index

  3. International Journal of Remote Sensing

    6 publications · 512 citations

    6

    h-index

  4. Information Fusion

    6 publications · 1.9K citations

    6

    h-index

  5. Journal of the Optical Society of America A

    5 publications · 378 citations

    5

    h-index

1–5