Fast copy-move forgery detection
WSEAS Transactions on Signal Processing
A bibliography on blind methods for identifying image forgery
Image Communication
IEEE Transactions on Information Forensics and Security
Copy-move forgery detection via texture description
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
Detection of copy-rotate-move forgery using Zernike moments
IH'10 Proceedings of the 12th international conference on Information hiding
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
Detection of copy-move forgery using multiresolution characteristic of discrete wavelet transform
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
A passive image authentication scheme for detecting region-duplication forgery with rotation
Journal of Network and Computer Applications
Blind copy-paste detection using improved SIFT ring descriptor
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Duplication forgery detection using improved DAISY descriptor
Expert Systems with Applications: An International Journal
Robust evidence detection of copy-rotate-move forgery in image based on singular value decomposition
ICICS'12 Proceedings of the 14th international conference on Information and Communications Security
Region duplication detection based on Harris corner points and step sector statistics
Journal of Visual Communication and Image Representation
An efficient expanding block algorithm for image copy-move forgery detection
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
On the reliability of forensic schemes using resampling for image copy-move forgery
International Journal of Electronic Security and Digital Forensics
Accurate and robust localization of duplicated region in copy---move image forgery
Machine Vision and Applications
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Region duplication forgery, in which a part of a digital image is copied and then pasted to another portion of the same image in order to conceal an important object in the scene, is one of the common image forgery techniques. In this paper, we describe an efficient and robust algorithm for detecting and localizing this type of malicious tampering. We present experimental results which show that our method is robust and can successfully detect this type of tampering for images that have been subjected to various forms of post region duplication image processing, including blurring, noise contamination, severe lossy compression, and a mixture of these processing operations.