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Two improved forensic methods of detecting contrast enhancement in digital images
conference contribution
posted on 2014-01-01, 00:00 authored by Xufeng Lin, X Wei, Chang-Tsun LiChang-Tsun LiContrast enhancements, such as histogram equalization or gamma correction, are widely used by malicious attackers to conceal the cut-and-paste trails in doctored images. Therefore, detecting the traces left by contrast enhancements can be an effective way of exposing cut-and-paste image forgery. In this work, two improved forensic methods of detecting contrast enhancement in digital images are put forward. More specifically, the first method uses a quadratic weighting function rather than a simple cut-off frequency to measure the histogram distortion introduced by contrast enhancements, meanwhile the averaged high-frequency energy measure of his- togram is replaced by the ratio taken up by the high-frequency components in the histogram spectrum. While the second improvement is achieved by applying a linear-Threshold strategy to get around the sensitivity of threshold selection. Compared with their original counterparts, these two methods both achieve better performance in terms of ROC curves and real-world cut-and-paste image forgeries. The effectiveness and improvement of the two proposed algorithms are experimentally validated on natural color images captured by commercial camera.
History
Event
Society for Imaging Science and Technology. Conference (2014 : San Fransisco, Calif.)Volume
9028Series
Society for Imaging Science and Technology ConferencePagination
90280X-1 - 90280X-10Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)Location
San Fransisco, Calif.Place of publication
Bellingham, Wash.Publisher DOI
Start date
2014-02-03End date
2014-02-05ISSN
0277-786XeISSN
1996-756XISBN-13
9780819499455Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, SPIE-IS&TEditor/Contributor(s)
A Alattar, N Memon, C HeitzenraterTitle of proceedings
Proceedings of the 2014 Media Watermarking, Security, and Forensics ConferenceUsage metrics
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