Abstract
Contrast 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.
Original language | English |
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Title of host publication | Proceedings of SPIE-IS and T Electronic Imaging - Media Watermarking, Security, and Forensics 2014 |
Place of Publication | Washington, USA |
Publisher | SPIE |
Pages | 1-10 |
Number of pages | 10 |
Volume | 9028 |
ISBN (Print) | 9780819499455 |
DOIs | |
Publication status | Published - 2014 |
Event | Media Watermarking, Security, and Forensics 2014 - Hilton Hotel, San Francisco, United States Duration: 02 Feb 2014 → 06 Feb 2014 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9028?SSO=1 |
Conference
Conference | Media Watermarking, Security, and Forensics 2014 |
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Country/Territory | United States |
City | San Francisco |
Period | 02/02/14 → 06/02/14 |
Internet address |