Image Forgery Detection

Image Forgery Detection is a computational technique in multimedia forensics that identifies unauthorized alterations in digital images by analyzing intrinsic statistical patterns and artifacts distinctive to specific manipulation methods.

1.2K

Publications

78.4K

Citations

2.6K

Authors

824

Institutions

Publications per year

2017–2026

661

Authors

2.6K

  1. LV
    Luisa Verdoliva

    University of Naples Federico II, Italy

    25 publications · 3.9K citations

    18

    h-index

  2. MH
    Muhammad Hussain

    King Saud University, Saudi Arabia

    16 publications · 1.1K citations

    16

    h-index

  3. GM
    Ghulam Muhammad

    King Saud University, Saudi Arabia

    17 publications · 1.2K citations

    15

    h-index

  4. CP
    Chi‐Man Pun

    University of Macau, Macao SAR China

    15 publications · 952 citations

    15

    h-index

  5. DC
    Davide Cozzolino

    University of Naples Federico II, Italy

    18 publications · 3.5K citations

    15

    h-index

1–5 of 2.6K

Venues

  1. 49

    h-index

  2. Multimedia Tools and Applications

    102 publications · 4.4K citations

    39

    h-index

  3. IEEE Access

    31 publications · 1.2K citations

    23

    h-index

  4. IET Image Processing

    22 publications · 818 citations

    17

    h-index

  5. arXiv (Cornell University)

    Repository · 28 publications · 1.2K citations

    17

    h-index

1–5