Detecting Digital Tampering by Blur Estimation
SADFE '05 Proceedings of the First International Workshop on Systematic Approaches to Digital Forensic Engineering on Systematic Approaches to Digital Forensic Engineering
An efficient and robust method for detecting copy-move forgery
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Tampering identification using Empirical Frequency Response
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Detection of image sharpening based on histogram aberration and ringing artifacts
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Blind Authentication Using Periodic Properties of Interpolation
IEEE Transactions on Information Forensics and Security
Hiding Traces of Resampling in Digital Images
IEEE Transactions on Information Forensics and Security
Identification of bitmap compression history: JPEG detection and quantizer estimation
IEEE Transactions on Image Processing
A universal technique to hide traces of histogram-based image manipulations
Proceedings of the on Multimedia and security
Alternative anti-forensics method for contrast enhancement
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Countering universal image tampering detection with histogram restoration
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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The blind detection of contrast enhancement in digital images has attracted much attention of the forensic analyzers. In this paper, we propose new variants of contrast enhancement operators which are undetectable by the existing contrast enhancement detectors based on the peak-gap artifacts of the pixel graylevel histogram. Local random dithering is introduced into the design of contrast enhancement mapping for removing such artifacts. Effectiveness of the proposed anti-forensic scheme is validated by experimental results on a large image database for various parameter settings. Both detectability and the resulting image quality are evaluated via comparison with the traditional contrast enhancement. The developed anti-forensic techniques could verify the reliability of existing contrast enhancement forensic tools against sophisticated attackers and serve as the targets for developing more reliable and secure forensic techniques.