Paper
4 March 2015 Anti-forensics of chromatic aberration
Owen Mayer, Matthew C. Stamm
Author Affiliations +
Proceedings Volume 9409, Media Watermarking, Security, and Forensics 2015; 94090M (2015) https://doi.org/10.1117/12.2182457
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Owen Mayer and Matthew C. Stamm "Anti-forensics of chromatic aberration", Proc. SPIE 9409, Media Watermarking, Security, and Forensics 2015, 94090M (4 March 2015); https://doi.org/10.1117/12.2182457
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Chromatic aberrations

Forensic science

Error analysis

Cameras

Sensors

Digital imaging

Databases

RELATED CONTENT


Back to Top