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Proceedings Paper

Two improved forensic methods of detecting contrast enhancement in digital images
Author(s): Xufeng Lin; Xingjie Wei; Chang-Tsun Li
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Paper 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.

Paper Details

Date Published: 19 February 2014
PDF: 10 pages
Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280X (19 February 2014); doi: 10.1117/12.2038644
Show Author Affiliations
Xufeng Lin, The Univ. of Warwick (United Kingdom)
Xingjie Wei, The Univ. of Warwick (United Kingdom)
Chang-Tsun Li, The Univ. of Warwick (United Kingdom)


Published in SPIE Proceedings Vol. 9028:
Media Watermarking, Security, and Forensics 2014
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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