On detection of median filtering in digital images

Matthias Kirchner; Jessica Fridrich

doi:10.1117/12.839100

27 January 2010 On detection of median filtering in digital images

Matthias Kirchner, Jessica Fridrich

Proceedings Volume 7541, Media Forensics and Security II; 754110 (2010) https://doi.org/10.1117/12.839100
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

In digital image forensics, it is generally accepted that intentional manipulations of the image content are most critical and hence numerous forensic methods focus on the detection of such 'malicious' post-processing. However, it is also beneficial to know as much as possible about the general processing history of an image, including content-preserving operations, since they can affect the reliability of forensic methods in various ways. In this paper, we present a simple yet effective technique to detect median filtering in digital images-a widely used denoising and smoothing operator. As a great variety of forensic methods relies on some kind of a linearity assumption, a detection of non-linear median filtering is of particular interest. The effectiveness of our method is backed with experimental evidence on a large image database.

Citation Download Citation

Matthias Kirchner and Jessica Fridrich "On detection of median filtering in digital images", Proc. SPIE 7541, Media Forensics and Security II, 754110 (27 January 2010); https://doi.org/10.1117/12.839100

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