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
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Region-Level Image Authentication Using Bayesian Structural Content Abstraction
IEEE Transactions on Image Processing
A bibliography on blind methods for identifying image forgery
Image Communication
Anti-forensics of contrast enhancement in digital images
Proceedings of the 12th ACM workshop on Multimedia and security
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With the wide use of sophisticated photo manipulation, capability of digital images for recording authentic scene information has been addressed with public suspicion. So it is urgent to develop forensics techniques for verifying photographs' originality and authenticity. In this paper, a blind forensic algorithm is proposed to detect sharpening manipulation in digital images. Gradient aberration of the gray histogram generated from unsaturated luminance regions of an image, is measured and employed to capture trails of sharpening operation. Ringing artifacts around step edges are exploited to provide another complementary clue, especially useful when the histogram-based features are not available. Tests on plenty of photo images show the effecttiveness of our proposed sharpening detection scheme.