By Topic

Detection of Copy-Move Forgery in Digital Images Using SIFT Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hailing Huang ; Res. Instn. of Comput. Applic., South China Univ. of Technol., Guangzhou ; Weiqiang Guo ; Yu Zhang

As result of powerful image processing tools, digital image forgeries have already become a serious social problem. In this paper we describe an effective method to detect copy-move forgery in digital images. This method works by first extracting SIFT descriptors of an image, which are invariant to changes in illumination, rotation, scaling etc. Owing to the similarity between pasted region and copied region, descriptors are then matched between each other to seek for any possible forgery in images. Experiments have been performed to demonstrate the efficiency of this method on different forgeries and quantify its robustness and sensitivity to post image processing, such as additive noise and lossy JPEG compression etc, or even compound processing.

Published in:

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on  (Volume:2 )

Date of Conference:

19-20 Dec. 2008