A fast and high accurate image copy-move forgery detection approach

• Published in: Multidimensional systems and signal processing Vol. 31; no. 3; pp. 857 - 883
• Main Authors: Wang, Xiang-Yang, Wang, Chao, Wang, Li, Jiao, Li-Xian, Yang, Hong-Ying, Niu, Pan-Pan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2020; Springer Nature B.V
• Subjects: Adaptive filters; Algorithms; Artificial Intelligence; Circuits and Systems; Clustering; Electrical Engineering; Engineering; Feature extraction; Forgery; Image detection; Image segmentation; Invariants; Performance evaluation; Reproduction (copying); Retouching; Robustness; Signal,Image and Speech Processing; Splicing; Image keypoints; Fast approximated LoG detector; Fast robust invariant feature (FRIF); NNPROD; SLIC segmentation; Copy-move forgery detection

Copy-move 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 challenging to detect than other typ...