JPEG copy paste forgery detection using BAG optimized for complex images

Dessalegn Atnafu Ayalneh, Hyong Joong Kim, Yong Soo Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Image forgery detection is one of important activities of digital forensics. Forging an image has become very easy and visually confusing with the real one. Different features of an image can be used in passive forgery detection. Most of lossy compression methods demonstrate some distinct characteristics. JPEG images have a traceable zero valued DCT coefficients in the high frequency regions due to quantization. This appears as a square grid all over the image, known as Block Artifact Grid (BAG). In this paper the BAG based copy-paste forgery detection method is improved by changing the input DCT coefficients for Local Effect computation. The proposed method has shown a better performance especially for complex images.

Original languageEnglish
Title of host publicationInternational Conference on Advanced Communication Technology, ICACT
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-185
Number of pages5
ISBN (Print)9788996865032
DOIs
Publication statusPublished - 2014 Jan 1
Event16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - PyeongChang, Korea, Republic of
Duration: 2014 Feb 162014 Feb 19

Other

Other16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014
CountryKorea, Republic of
CityPyeongChang
Period14/2/1614/2/19

Fingerprint

Forging
Digital forensics

Keywords

  • Block Artifact Grid
  • Copy-paste forgery
  • JPEG
  • Local Effect

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Ayalneh, D. A., Kim, H. J., & Choi, Y. S. (2014). JPEG copy paste forgery detection using BAG optimized for complex images. In International Conference on Advanced Communication Technology, ICACT (pp. 181-185). [6778945] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACT.2014.6778945

JPEG copy paste forgery detection using BAG optimized for complex images. / Ayalneh, Dessalegn Atnafu; Kim, Hyong Joong; Choi, Yong Soo.

International Conference on Advanced Communication Technology, ICACT. Institute of Electrical and Electronics Engineers Inc., 2014. p. 181-185 6778945.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ayalneh, DA, Kim, HJ & Choi, YS 2014, JPEG copy paste forgery detection using BAG optimized for complex images. in International Conference on Advanced Communication Technology, ICACT., 6778945, Institute of Electrical and Electronics Engineers Inc., pp. 181-185, 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014, PyeongChang, Korea, Republic of, 14/2/16. https://doi.org/10.1109/ICACT.2014.6778945
Ayalneh DA, Kim HJ, Choi YS. JPEG copy paste forgery detection using BAG optimized for complex images. In International Conference on Advanced Communication Technology, ICACT. Institute of Electrical and Electronics Engineers Inc. 2014. p. 181-185. 6778945 https://doi.org/10.1109/ICACT.2014.6778945
Ayalneh, Dessalegn Atnafu ; Kim, Hyong Joong ; Choi, Yong Soo. / JPEG copy paste forgery detection using BAG optimized for complex images. International Conference on Advanced Communication Technology, ICACT. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 181-185
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