Identifying image forgeries using change points detection

Babak Mahdian; Stanislav Saic

doi:10.1117/12.872510

10 February 2011 Identifying image forgeries using change points detection

Babak Mahdian, Stanislav Saic

Proceedings Volume 7880, Media Watermarking, Security, and Forensics III; 788008 (2011) https://doi.org/10.1117/12.872510
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In this paper, we show that methods detecting multiple change points in a discrete distribution of variables can play an effective role in identifying image tampering. Methods analyzing change points deal with detecting abrupt changes in the characteristics of signals. Methods dealing with detecting image tampering isolate a subset of the given image that is significantly different from the rest. Apparently, both groups of methods have similar goals and thus there might be an interesting synergy between these two research fields. Change points detection algorithms can help in automatically detecting altered parts of digital images without any previous training or complicated threshold settings.

Citation Download Citation

Babak Mahdian and Stanislav Saic "Identifying image forgeries using change points detection", Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 788008 (10 February 2011); https://doi.org/10.1117/12.872510

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