Detection and description of geometrically transformed digital images

Babak Mahdian; Stanislav Saic

doi:10.1117/12.805898

4 February 2009 Detection and description of geometrically transformed digital images

Babak Mahdian, Stanislav Saic

Proceedings Volume 7254, Media Forensics and Security; 72540J (2009) https://doi.org/10.1117/12.805898
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Babak Mahdian and Stanislav Saic "Detection and description of geometrically transformed digital images", Proc. SPIE 7254, Media Forensics and Security, 72540J (4 February 2009); https://doi.org/10.1117/12.805898

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