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Enhancing image forgery detection using 2-D cross products

  • Ritsumeikan University Biwako-Kusatsu Campus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The availability of sophisticated, easy-to-use image editing tools means that the authenticity of digital images can no longer be guaranteed. This chapter proposes a new method for enhancing image forgery detection by combining two detection techniques using a 2-dimensional cross product. Compared with traditional approaches, the method yields better detection results in which the tampered regions are clearly identified. Another advantage is that the method can be applied to enhance a variety of detection algorithms. The method was tested on the CASIA TIDE v2.0 public dataset of color images and the results compared against those obtained using the re-interpolation, JPEG noise quantization and noise estimation techniques. The experimental results indicate that the proposed method is efficient and has superior detection characteristics.

Original languageEnglish
Title of host publicationAdvances in Digital Forensics XII - 12th IFIP WG 11.9 International Conference, Revised Selected Papers
EditorsSujeet Shenoi, Gilbert Peterson
PublisherSpringer New York LLC
Pages297-310
Number of pages14
ISBN (Print)9783319462783
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event12th IFIP WG 11.9 International Conference on Advances in Digital Forensics, 2016 - New Delhi, India
Duration: 4 Jan 20166 Jan 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume484
ISSN (Print)1868-4238

Conference

Conference12th IFIP WG 11.9 International Conference on Advances in Digital Forensics, 2016
Country/TerritoryIndia
CityNew Delhi
Period4/01/166/01/16

Keywords

  • Cross product
  • Forgery detection
  • Image tampering

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