An image splicing detection based on interpolation analysis

Rimba W. Ciptasari, Kyung Hyune Rhee, Kouichi Sakurai

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

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Proceedings
Pages390-401
Number of pages12
DOIs
Publication statusPublished - Dec 27 2012
Event13th Pacific-Rim Conference on Multimedia, PCM 2012 - Singapore, Singapore
Duration: Dec 4 2012Dec 6 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7674 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th Pacific-Rim Conference on Multimedia, PCM 2012
CountrySingapore
CitySingapore
Period12/4/1212/6/12

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ciptasari, R. W., Rhee, K. H., & Sakurai, K. (2012). An image splicing detection based on interpolation analysis. In Advances in Multimedia Information Processing, PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Proceedings (pp. 390-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7674 LNCS). https://doi.org/10.1007/978-3-642-34778-8_36