A survey on traditional and deep learning copy move forgery detection (CMFD) techniques

Digital image forgeries become one of the most challenges faced by technology users today. A copy-move forgery is one of the most common types of these forgeries. This type is not only common, but it is also very simple to execute to create deceptive images. Many algorithms use various technologies...

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Veröffentlicht in:	Multimedia tools and applications 2023-09, Vol.82 (22), p.34409-34435
Hauptverfasser:	Elaskily, Mohamed A., Dessouky, Mohamed M., Faragallah, Osama S., Sedik, Ahmed
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Deep learning Digital imaging Discrete cosine transform Feature extraction Forgery Invariants Machine learning Matching Multimedia Information Systems Performance evaluation Principal components analysis Singular value decomposition Special Purpose and Application-Based Systems
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