An image splicing detection based on interpolation analysis

Authors:
Rimba W. 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, In ...;Department of IT Convergence and Application Engineering, Pukyong National University, Nam-Gu, Busan, Korea;Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, Fukuoka, Japan
Venue:
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Year:
2012

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Abstract

With the advent of low-cost and high-resolution digital cameras and sophisticated editing software, it is becoming increasingly easier to tamper with the digital image. 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 digital image correlation concept, we exploit the peak of cross-correlation function to automatically detect the splicing artifacts in any fragment of an image. We show the efficacy of the proposed scheme on revealing the source of spliced regions. We make the first concrete technique towards appropriate tools which are necessary for rendering digital forgeries.