Multiresolution Image Fusion

Multiresolution Image Fusion is an image fusion methodology that integrates multiple input images by decomposing them into different spatial frequency bands through a multiresolution representation, thereby enabling the extraction and combination of salient features at varying scales to produce a single, more informative output image.

165

Publications

12.8K

Citations

451

Authors

218

Institutions

Publications per year

2017–2026

36

Authors

451

  1. AG
    Andrea Garzelli

    University of Siena, Italy

    5 publications · 1.1K citations

    5

    h-index

  2. SB
    Stefano Baronti

    University of Florence, Italy

    3 publications · 942 citations

    3

    h-index

  3. OS
    Osama S. Faragallah

    Menoufia University, Egypt

    3 publications · 93 citations

    3

    h-index

  4. EM
    El‐Sayed M. El‐Rabaie

    Menoufia University, Egypt

    3 publications · 93 citations

    3

    h-index

  5. WE
    Walid El‐Shafai

    Menoufia University, Egypt

    3 publications · 93 citations

    3

    h-index

1–5 of 451

Venues

  1. 12

    h-index

  2. 7

    h-index

  3. Optical Engineering

    4 publications · 755 citations

    4

    h-index

  4. IET Image Processing

    3 publications · 205 citations

    3

    h-index

  5. Information Fusion

    3 publications · 969 citations

    3

    h-index

1–5