Detection of digital forgeries using an image interpolation from digital images

Author

Yun, Yong-In ; Lee, Jung-Beom ; Jung, Da-Un ; Har, Dong-Hwan ; Choi, Jong-Soo

Author_Institution

Grad. Sch. of Adv. Imaging Sci., Multimedia & Film, Chung-Ang Unversity, Seoul

fYear

2008

fDate

14-16 April 2008

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

copy protection; desktop publishing; expectation-maximisation algorithm; image processing; Adobe Photoshop; digital forgeries; digital images; expectation-maximization algorithm; image interpolation; Digital cameras; Digital filters; Digital images; Digital multimedia broadcasting; Educational institutions; Forgery; Image analysis; Interpolation; Lighting; Multimedia communication; digital forgery; expectationmaximization; image filter; interpolation;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Vilamoura

Print_ISBN

978-1-4244-2422-1

Electronic_ISBN

978-1-4244-2422-1

Type

conf

DOI

10.1109/ISCE.2008.4559532

Filename

4559532