Cart (Loading....) | Create Account
Close category search window

Detecting digital tampering by blur estimation

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)
Dun-Yu Hsiao ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Soo-Chang Pei

With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most of the time, digital tampering is not perceptible by human: however, some traces of digital tampering may be left in the media during the process. Based on this idea, we present a method in this paper that could reveal blurred regions that indicate possible tampering without any embedded information such as watermarking technique. Effectiveness and results are presented, robustness is also discussed.

Published in:

Systematic Approaches to Digital Forensic Engineering, 2005. First International Workshop on

Date of Conference:

7-9 Nov. 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.