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.
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78.4K
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2.6K
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824
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Publications per year
2017–2026
661
Parents
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MesoNet: a Compact Facial Video Forgery Detection Network
Darius Afchar, Vincent Nozick, Junichi Yamagishi et al. · 2018 · 1.7K citations · Full text
Face X-Ray for More General Face Forgery Detection
Lingzhi Li, Jianmin Bao, Ting Zhang et al. · 2020 · 1.1K citations
Detection of Copy-Move Forgery in Digital Images
Jessica Fridrich · 2004 · 992 citations
Hany Farid · IEEE Signal Processing Magazine · 2009 · 909 citations
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University of Macau
Macao, Macao
22 h-index
59 publications
4.4K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
54 publications
4.1K citations

Sun Yat-sen University
Guangzhou, China
19 h-index
73 publications
7.3K citations

King Saud University
Riyadh, Saudi Arabia
18 h-index
62 publications
3.9K citations

Thapar Institute of Engineering & Technology
Patiāla, India
18 h-index
41 publications
1.5K citations
University of Science and Technology of China
Hefei, China
17 h-index
57 publications
5.8K citations
Nanyang Technological University
Singapore, Singapore
17 h-index
36 publications
4K citations
University of Malaya
Kuala Lumpur, Malaysia
16 h-index
65 publications
3.3K citations
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61 publications · 11.4K citations
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102 publications · 4.4K citations
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31 publications · 1.2K citations
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22 publications · 818 citations
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Repository · 28 publications · 1.2K citations
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