Image splicing verification based on pixel-based alignment method

Rimba Whidiana Ciptasari, Kyung Hyune Rhee, Kouichi Sakurai

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

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationDigital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers
Pages198-212
Number of pages15
DOIs
Publication statusPublished - Sep 3 2013
Event11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 - Shanghai, China
Duration: Oct 31 2012Nov 3 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7809 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Workshop on Digital Forensics and Watermaking, IWDW 2012
CountryChina
CityShanghai
Period10/31/1211/3/12

Fingerprint

Image registration
Alignment
Pixel
Pixels
Concretes
Manipulation
Fragment
Image Registration
Software Tools
Digital Image
Efficacy
Necessary

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ciptasari, R. W., Rhee, K. H., & Sakurai, K. (2013). Image splicing verification based on pixel-based alignment method. In Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers (pp. 198-212). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7809 LNCS). https://doi.org/10.1007/978-3-642-40099-5_17

Image splicing verification based on pixel-based alignment method. / Ciptasari, Rimba Whidiana; Rhee, Kyung Hyune; Sakurai, Kouichi.

Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. 2013. p. 198-212 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7809 LNCS).

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

Ciptasari, RW, Rhee, KH & Sakurai, K 2013, Image splicing verification based on pixel-based alignment method. in Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7809 LNCS, pp. 198-212, 11th International Workshop on Digital Forensics and Watermaking, IWDW 2012, Shanghai, China, 10/31/12. https://doi.org/10.1007/978-3-642-40099-5_17
Ciptasari RW, Rhee KH, Sakurai K. Image splicing verification based on pixel-based alignment method. In Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. 2013. p. 198-212. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-40099-5_17
Ciptasari, Rimba Whidiana ; Rhee, Kyung Hyune ; Sakurai, Kouichi. / Image splicing verification based on pixel-based alignment method. Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. 2013. pp. 198-212 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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