By Topic

Detection of digital forgeries using an image interpolation from digital images

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

5 Author(s)
Yong-In Yun ; Grad. Sch. of Adv. Imaging Sci., Multimedia & Film, Chung-Ang Unversity, Seoul ; Jung-Beom Lee ; Da-Un Jung ; Dong-Hwan Har
more authors

Most of digital forgeries are created by Adobe Photoshopreg. Detecting digital forgery is one of most important emerging technology to solve digital forgery of digital images taken by a digital camera. This paper proposes a new method for detecting digital forgery using an image interpolation technique from digital images. When digital forgery is produced from digital images, it always includes the interpolated image between the images. Our approach is to compute the interpolated coefficient for the images using expectation-maximization (EM) algorithm. We demonstrate detecting the forgery images used to each filter for the tool of Adobe Photoshopreg and show a ratio of detecting the forgery images.

Published in:

Consumer Electronics, 2008. ISCE 2008. IEEE International Symposium on

Date of Conference:

14-16 April 2008