Copy-Move Forgery Detection is a digital image forensic technique that identifies regions within an image that have been duplicated and pasted from one area to another to conceal or fabricate content, distinguished by its focus on detecting geometrically transformed or altered copied regions indicative of malicious editing.
440
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27.5K
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983
Authors
403
Institutions
Publications per year
2017–2026
251
Parents
Publications
440
1–5 of 440
Authors
983
- GM
11
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11
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10
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10
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1–5 of 983
Institutions
403
University of Macau
Macao, Macao
15 h-index
38 publications
3.2K citations
Sun Yat-sen University
Guangzhou, China
13 h-index
45 publications
4.2K citations
King Saud University
Riyadh, Saudi Arabia
13 h-index
38 publications
1.7K citations
Liaoning Normal University
Dalian, China
11 h-index
54 publications
1.7K citations
Menoufia University
Shibīn al Kawm, Egypt
11 h-index
29 publications
1.3K citations
Nanjing University of Information Science and Technology
Nanjing, China
10 h-index
21 publications
3K citations
Karadeniz Technical University
Trabzon, Türkiye
10 h-index
32 publications
851 citations
University of Nevada, Reno
Reno, United States
9 h-index
11 publications
587 citations
1–8 of 403
Venues
- Multimedia Tools and Applications
62 publications · 2.7K citations
31
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- IEEE Transactions on Information Forensics and Security
16 publications · 4.5K citations
15
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- IEEE Access
14 publications · 812 citations
14
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- Forensic Science International
11 publications · 1.7K citations
11
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- IET Image Processing
11 publications · 499 citations
11
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