International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 99

Review Papers | Electronics & Communication Engineering | India | Volume 3 Issue 10, October 2014


A Review on Digital Image Forgeries

Hemin Jose | Lekshmy S [2]


Abstract: With the mushroom growth of state of the art digital image and video manipulations tools, establishing the authenticity of multimedia content has become a challenging issue. This undermines our trust in images and, in particular, questions pictures as evidence for real-world events. In this context, here we analyze different forms of photograph manipulations to create a new, fake photograph. Digital image forensics is an increasingly growing research field that symbolizes a never ending struggle against forgery and tampering. This review attempts to cover different techniques that have been proposed for exposing digital image forgeries.


Keywords: Digital image forgery, Spliced image, Forgery detection, Illuminant Inconsistencies


Edition: Volume 3 Issue 10, October 2014,


Pages: 2212 - 2217


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Hemin Jose, Lekshmy S, "A Review on Digital Image Forgeries", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 2212-2217, https://www.ijsr.net/get_abstract.php?paper_id=OCT14330

Similar Articles with Keyword 'Forgery detection'

Downloads: 111

Case Studies, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1104 - 1106

A Novel Approach for Image Authentication by Robust Hashing Using Zernike Moments and Local Features

Arunkumar Geddalamari | D Basavalingappa

Share this Article

Downloads: 129

Survey Paper, Electronics & Communication Engineering, India, Volume 4 Issue 3, March 2015

Pages: 876 - 878

A Survey on Copy Move Image Forgery Detection Using Wavelet Transform

Akanksha Namdeo [2] | Anish Vishwakarma [4]

Share this Article
Top