Share Email Print

Proceedings Paper

On detection of median filtering in digital images
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 27 January 2010
PDF: 12 pages
Proc. SPIE 7541, Media Forensics and Security II, 754110 (27 January 2010); doi: 10.1117/12.839100
Show Author Affiliations
Matthias Kirchner, Technische Univ. Dresden (Germany)
Jessica Fridrich, Binghamton Univ. (United States)

Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp III, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?