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Volume: 30 | Article ID: art00006
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Blind Detection of Image Rotation and Angle Estimation
  DOI :  10.2352/ISSN.2470-1173.2018.07.MWSF-158  Published OnlineJanuary 2018
Abstract

The reliability of many digital forensic techniques can be negatively affected by geometrical transforms applied to the image under investigation because it breaks pixel-topixel synchronization needed for example for forensic methods that rely on sensor fingerprints. The geometrical transform typically needs to be detected and then its parameters estimated to allow subsequent successful and reliable forensic analysis. This paper focuses on blind detection of rotation and estimation of the angle by which the image was rotated. The proposed method utilizes the so-called Linear Pattern (LP) as a global template. In particular, no side information, such as watermark or the EXIF header, is required. The method is generally applicable whenever the image under investigation had a sufficiently strong LP before rotation. The performance of the method is assessed experimentally and by comparing to previous art. The main advantage of the proposed method is its accuracy for estimating small rotation angles (less than 3 degrees). It will also work after resizing.

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  Cite this article 

Miroslav Goljan, "Blind Detection of Image Rotation and Angle Estimationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2018,  pp 158-1 - 158-10,  https://doi.org/10.2352/ISSN.2470-1173.2018.07.MWSF-158

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