By Topic

Image forensics of digital cameras by analysing image variations using Statistical Process Control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Philip Bateman ; Department of Computing, University of Surrey Guildford, GU2 7XH UK ; Anthony T. S. Ho ; Alan Woodward

In this paper, we propose the novel use of Statistical Process Control (SPC) as a tool for identifying anomalies in digital cameras, by analysing image variations. We apply SPC on six low-end cameras, and one mid-range camera. By plotting the mean distribution of image pixel data through control charts, we have been able to identify a clear distinction between images captured from low-end cameras (where the variation is approximately 21%), and mid-range cameras (where the variation is approximately 1%). Control charts are used to highlight out-of-control values within the image data. By examining the data of any out-of-control images, it is possible to deduce the cause of inconsistency in the device's image acquisition process. This could ultimately lead to the identification of a stochastic feature for images taken by certain types of digital cameras, to benefit research for camera identification. In this paper, the SPC model is described in relation to its potential use in the field of image forensics for aiding camera identification, and some experimental results are shown from the six test cameras to demonstrate the effectiveness of the model.

Published in:

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Date of Conference:

8-10 Dec. 2009