Active Image Forgery Detection Using Cellular Automata - Cellular Automata in Image Processing and Geometry - page 122

Chapter 7
Active Image Forgery Detection Using Cellular
Automata

Ahmad Pahlavan Tafti and Hamid Hassannia

Abstract. The adequate potential of digital images and the ease in their storage and
distribution is such that they are more and more exploited to supply information in
this digital epoch. As a consequence, they indicate a public source of evidence in
our everyday life. Beside their benefits, the accessibility of them could bring a major
detriment as they can be modified easily by a media processing application.
Detection of tampering with digital images is still an open work in the image
processing domain. Over the past years there has been a swift expansion in the de-
signing and developing of image forgery detection algorithms plus related software
applications. All these algorithms are divided into two groups: active and passive. In
the active approaches, we create and embed invaluable data as a cipher key into the
original image to protect it against the forgery, while in the passive methods we only
investigate some features of the image such as statistical anomalies, correlations and
compressions to detect forgery.
This chapter presents an in-depth exploration of issues related to active digital
image forgery detection algorithms which are derived from cellular automata. The
aim of this chapter is to give a brief but comprehensive overview of the usage of cel-
lular automata to develop active image forgery detection techniques. We conclude
with experimental results in this topic and discuss future works in image forgery
detection using cellular automata.

7.1 Introduction

We are living in an age where security of digital information such as digital images
and videos are becoming more important than ever [5]. The expressive potential of

Ahmad Pahlavan Tafti
University of Wisconsin Milwaukee, USA
e-mail: [e-mail]
Hamid Hassannia
Department of Advanced Computing, Fan Pardaz Higher Education Institute, Iran
e-mail: [e-mail]