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Proceedings Paper

Detection and description of geometrically transformed digital images
Author(s): Babak Mahdian; Stanislav Saic
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Paper Abstract

Geometric transformations such as scaling or rotation are common tools employed by forgery creators. These procedures are typically based on a resampling and interpolation step. The interpolation process brings specific periodic properties into the image. In this paper, we show how to detect these properties. Our aim is to detect all possible geometric transformations in the image being investigated. Furthermore, as the proposed method, as well as other existing detectors, is sensitive to noise, we also briefly show a simple method capable of detecting image noise inconsistencies. Noise is a common tool used to conceal the traces of tampering.

Paper Details

Date Published: 4 February 2009
PDF: 9 pages
Proc. SPIE 7254, Media Forensics and Security, 72540J (4 February 2009); doi: 10.1117/12.805898
Show Author Affiliations
Babak Mahdian, Institute of Information Theory and Automation (Czech Republic)
Stanislav Saic, Institute of Information Theory and Automation (Czech Republic)


Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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