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Blind Method for Image Forgery Detection: A tool for Digital Image Forensics

Author(s): Anil Dada Warbhe | R. V. Dharaskar

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: ncipet;
Issue: 11;
Date: 2012;
Original page

Keywords: Digital forensics | Image processing | BSS | ICA | Image tempering

Undoubtedly, we are living in era of digital information and technology. In this revolutionized world of digital information, we are exposed to a remarkable array of visual imagery. With sophisticated image editing tools and software?s, it is very easy to manipulate and temper the digital images, thereby questioning the trustworthiness of it. This paper presents a method based on a statistical technique, Independent Component Analysis (ICA), also known as a Blind Source Separation (BSS), to detect the copy-move kind of forgery in digital images. Results of this method prove that ICA can be effectively used for image forgery detection in digital image as a tool to digital image forensics.
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