Image splicing verification based on pixel-based alignment method

  • Authors:

  • Rimba Whidiana Ciptasari;Kyung-Hyune Rhee;Kouichi Sakurai

  • Affiliations:

  • Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, Fukuoka, Japan,Faculty of Informatics, Telkom Institute of Technology, Bandung, Ind ...;Department of IT Convergence and Application Engineering, Pukyong National University, Busan, Korea;Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, Fukuoka, Japan

  • Venue:
  • IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
  • Year:
  • 2012

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Abstract

Due to the easy manipulation and alteration of digital images using widely available software tools, forgery detection is emerged as a primary goal in image forensics. A common form of manipulation is to combine parts of the image fragment into another different image to remove objects from the image. Inspired by the image registration concept, we exploit the correlation-based alignment method to automatically identify the spliced region in any fragment of the reference images. We show the efficacy of the proposed scheme on revealing the source of spliced regions. We anticipate this scheme to be the first concrete technique towards appropriate tools which are necessary for exposing digital forgeries.