Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Physics-motivated features for distinguishing photographic images and computer graphics
Proceedings of the 13th annual ACM international conference on Multimedia
Robust Detection of Region-Duplication Forgery in Digital Image
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Fast and reliable resampling detection by spectral analysis of fixed linear predictor residue
Proceedings of the 10th ACM workshop on Multimedia and security
Blur Detection of Digital Forgery Using Mathematical Morphology
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Digital camera identification from sensor pattern noise
IEEE Transactions on Information Forensics and Security
Rotation Moment Invariants for Recognition of Symmetric Objects
IEEE Transactions on Image Processing
On the reliability of forensic schemes using resampling for image copy-move forgery
International Journal of Electronic Security and Digital Forensics
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Region-duplication forgery is one of most common tampering artifices. Several methods have been developed to detect and locate the tampered region, while most methods do fail when the copied region is rotated before being pasted because of the de-synchronization in the searching procedure. To solve the problem, the paper proposes an efficient and robust passive authentication method that uses the circle block and the Hu moments to detect and locate the duplicate regions with rotation. Experimental results show that our method is robust not only to noise contamination, blurring and JPEG compression, but also to the rotation. Meanwhile, the proposed method has better time performance compared with exiting methods because of the lower feature dimension.