Saurabh Shinde, Neeraj Bansod, Akshay Pawar, Abhijeet Waghmare Marathwada Mitra Mandal’s College of Engineering, Pune, India.
DOI : 01.0401/ijaict.2015.11.11
International Journal of Advanced Information and Communication Technology
Received On : February 09, 2018
Revised On : March 15, 2018
Accepted On : April 08, 2018
Published On : May 05, 2018
Volume 05, Issue 05
Pages : 859-861
Abstract
The digital images play important role in the field of information forensics and security, also there uses are increased. So it was needed to create forensic techniques capable of detecting image frame alteration operations and forgery image. A number of image processing operations including Contrast Enhancement, histogram equalization are equivalent to pixel value mappings. In this paper, results show that pixel value mappings leave behind statistical traces, which we will refer to as a mapping’s intrinsic fingerprint, in an image’s pixel value mapping histogram. We also represent the forensics methods for detecting applied contrast enhancement and method for detecting histogram equivalence in image by identifying the features of each operations intrinsic fingerprint. In the end, by performing a number of simulations, so we get the efficiency of each proposed forensic technique.
Keywords
Histogram Equalization, Contrast Enhancement, Image, Processing, Additive Noise, Digital Forensics, Intrinsic Fingerprints.
Cite this article
Saurabh Shinde, Neeraj Bansod, Akshay Pawar, Abhijeet Waghmare, “Forgery Image Detection” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.859-861, May 05, 2018.
Copyright
© 2018 Saurabh Shinde, Neeraj Bansod, Akshay Pawar, Abhijeet Waghmare. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.