With rapid technological advancements in the last few decades, our
information and communication systems are progressively moving towards being
completely digitized. Simultaneously, as a consequence of modern networking
technologies, a plethora of digital information is being stored and transmitted in a
couple of seconds. Highly appreciated multimedia enabled handheld devices are
empowering even the common man to communicate on the go. Today, our
understanding of events is highly dependent on visual information. Consequently,
digital images have become a prominent carrier of information. Dependence of our
lifestyles on digital images leads to the critical importance of their security and
reliability. In parallel to the technological advancement, availability of software
tools capable of easily manipulating digital images in a user-friendly manner is not
so rare. With this, the trust we keep on digital image as proof of an event is at risk.
This chapter presents an introduction to the emerging field of digital image
forensics, which aims to provide authenticity and security to digital images. This
introduction is followed by detailed analysis of one class of image forensic methods,
methods based on color filter array interpolation. An experimental comparison of
some prominent works and recent developments in this field on a common dataset
has been discussed in this chapter.
Keywords: Bayer pattern, Camera classification, CFA de-mosaicking, CFA
forensics, CFA pattern, Color filter array (CFA), De-mosaicking artifacts, Digital
camera, Digital color imaging, Digital image forensics, Digital image forgery,
Image authenticity, Image forgery detection, Image source classification, Image
tampering, Information processing and management, Information technology and
security, Intelligent systems, Multimedia forensics, Multimedia security, Nonintrusive
image forensics, Tampering detection.
