Robust and effective multiple copy-move forgeries detection and localization

• Published in: Pattern analysis and applications : PAA Vol. 24; no. 3; pp. 1025 - 1046
• Main Authors: Wang, Xiang-yang, Wang, Chao, Wang, Li, Yang, Hong-ying, Niu, Pan-pan
• Format: Journal Article
• Language: English
• Published: London Springer London 01.08.2021; Springer Nature B.V
• Subjects: Accelerated tests; Algorithms; Cloning; Clustering; Computer Science; Feature extraction; Forgery; Localization; Localization method; Offsets; Pattern Recognition; Performance evaluation; Post-production processing; Quaternions; Reproduction (copying); Retouching; Robustness; Splicing; Theoretical Advances; Offsets clustering; GFAST; FQPCET; Copy-move forgery detection

Copy-move (or copy-paste or cloning) is one of the most common image forgeries, wherein one or more region are copied and pasted within the same image. The motivations of such forgery include hiding an element in the image or emphasizing a particular object. Copy-move image forgery is more challengi...