Image Authenticity Verification

Image Authenticity Verification is a forensic methodology that determines the integrity and origin of a digital image by identifying whether it has been artificially altered or synthetically generated, distinguishing it from general image analysis techniques through its specific focus on detecting manipulations that compromise evidential trustworthiness.

193

Publications

10.6K

Citations

513

Authors

229

Institutions

Publications per year

2017–2026

77

Authors

513

  1. YH
    Yu‐Chen Hu

    Providence University, Taiwan

    6 publications · 197 citations

    6

    h-index

  2. EJ
    Edward J. Delp

    Purdue University West Lafayette, United States

    5 publications · 223 citations

    5

    h-index

  3. QS
    Qibin Sun

    University of Science and Technology of China, China

    4 publications · 196 citations

    4

    h-index

  4. PB
    Paolo Bestagini

    Politecnico di Milano, Italy

    4 publications · 132 citations

    4

    h-index

  5. GM
    Ghulam Muhammad

    King Saud University, Saudi Arabia

    4 publications · 109 citations

    4

    h-index

1–5 of 513

Venues

  1. Multimedia Tools and Applications

    15 publications · 943 citations

    12

    h-index

  2. 7

    h-index

  3. 5

    h-index

  4. Signal Processing Image Communication

    3 publications · 105 citations

    3

    h-index

  5. Sensors

    3 publications · 92 citations

    3

    h-index

1–5