Prof. Matthew C. Stamm Profile

Prof. Matthew C. Stamm

at Drexel Univ

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Proceedings Article | 4 March 2015 Paper

Anti-forensics of chromatic aberration

Owen Mayer, Matthew Stamm

Proceedings Volume 9409, 94090M (2015) https://doi.org/10.1117/12.2182457

KEYWORDS: Chromatic aberrations, Forensic science, Error analysis, Cameras, Sensors, Digital imaging, Databases, Image processing, Algorithm development, Channel projecting optics

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Over the past decade, a number of information forensic techniques have been developed to identify digital image manipulation and falsification. Recent research has shown, however, that an intelligent forger can use anti-forensic countermeasures to disguise their forgeries. In this paper, an anti-forensic technique is proposed to falsify the lateral chromatic aberration present in a digital image. Lateral chromatic aberration corresponds to the relative contraction or expansion between an image's color channels that occurs due to a lens's inability to focus all wavelengths of light on the same point. Previous work has used localized inconsistencies in an image's chromatic aberration to expose cut-and-paste image forgeries. The anti-forensic technique presented in this paper operates by estimating the expected lateral chromatic aberration at an image location, then removing deviations from this estimate caused by tampering or falsification. Experimental results are presented that demonstrate that our anti-forensic technique can be used to effectively disguise evidence of an image forgery.

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