By Topic

Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics

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

2 Author(s)
Xiao Bing Kang ; Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xian ; Sheng Min Wei

Detecting tampered regions and proving the authenticity and integrity of a digital image becomes increasingly important in digital forensics and multimedia security. In this paper we propose a novel framework for identifying the location of copy-move image tampering by applying the singular value decomposition(SVD). In the proposed passive techniques, SVD served to produce algebraic and geometric invariant and feature vectors. Experimental results demonstrate the validity of the proposed approach to tampered images undergone some attacks like Gaussian blur filtering, Gaussian white noise contamination, lossy JPEG compression, etc.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:3 )

Date of Conference:

12-14 Dec. 2008