A Forensic Scheme for Revealing Post-processed Region Duplication Forgery in Suspected Images

Authors

  • Diaa Mohammed Uliyan Faculty of Information Technology, Department of Computer Science, Middle East University, Amman, Jordan
  • Mohammed A. Fadhil Al-Husainy Faculty of Information Technology, Department of Computer Science, Middle East University, Amman, Jordan
  • Ahmad Mousa Altamimi Faculty of Information Technology, Department of Computer Science, Applied Science Private University, Amman, Jordan
  • Hamid Abdullah Jalab Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia

Keywords:

Copy-Move Forgery, Image Forgery Detection, Image Forensics, Local Interest Points, Region Duplication, Segmented Regions?

Abstract

Recent researches have demonstrated that local interest points alone can be employed to detect region duplication forgery in image forensics. Authentic images may be abused by copy-move tool in Adobe Photoshop to fully contained duplicated regions such as objects with high primitives such as corners and edges. Corners and edges represent the internal structure of an object in the image which makes them have a discriminating property under geometric transformations such as scale and rotation operation. They can be localised using scale-invariant features transform (SIFT) algorithm. In this paper, we provide an image forgery detection technique by using local interest points. Local interest points can be exposed by extracting adaptive non-maximal suppression (ANMS) keypoints from dividing blocks in the segmented image to detect such corners of objects. We also demonstrate that ANMS keypoints can be effectively utilised to detect blurred and scaled forged regions. The ANMS features of the image are shown to exhibit the internal structure of copy moved region. We provide a new texture descriptor called local phase quantisation (LPQ) that is robust to image blurring and also to eliminate the false positives of duplicated regions. Experimental results show that our scheme has the ability to reveal region duplication forgeries under scaling, rotation and blur manipulation of JPEG images on MICC-F220 and CASIA v2 image datasets.

Author Biography

Diaa Mohammed Uliyan, Faculty of Information Technology, Department of Computer Science, Middle East University, Amman, Jordan

Facluty of IT,

dept, Computer Science

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Published

2018-08-28

How to Cite

Mohammed Uliyan, D., Al-Husainy, M. A. F., Altamimi, A. M., & Jalab, H. A. (2018). A Forensic Scheme for Revealing Post-processed Region Duplication Forgery in Suspected Images. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3), 37–45. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3405