Digital image forgery detection based on shadow HSV inconsistency

Viktor Tuba, Raka Jovanovic, Milan Tuba

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

3 Citations (Scopus)

Abstract

During the last decade digital images have spread to all facets of human life. One of the main advantages of digital images is wide availability of powerful digital image processing tools. However, this power and availability also facilitates simplicity of forgery of digital images where it is very easy to insert part of one image into another image. Digital image forensics has to deal with such situations. In this paper we propose an algorithm for digital image forgery detection based on shadow inconsistencies of HSV components. The advantage of using these features is rotational invariance and simplicity. We tested our proposed algorithm on forged images used in literature and the algorithm was successful in forgery detection in all cases.

Original languageEnglish
Title of host publication2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509058341
DOIs
Publication statusPublished - 1 May 2017
Event5th International Symposium on Digital Forensic and Security, ISDFS 2017 - Tirgu Mures
Duration: 26 Apr 201728 Apr 2017

Other

Other5th International Symposium on Digital Forensic and Security, ISDFS 2017
CityTirgu Mures
Period26/4/1728/4/17

Fingerprint

Availability
Invariance
Image processing
literature

Keywords

  • Digital image processing
  • HSV components
  • Image forgery detection
  • Shadow inconsistency

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Safety Research

Cite this

Tuba, V., Jovanovic, R., & Tuba, M. (2017). Digital image forgery detection based on shadow HSV inconsistency. In 2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017 [7916505] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISDFS.2017.7916505

Digital image forgery detection based on shadow HSV inconsistency. / Tuba, Viktor; Jovanovic, Raka; Tuba, Milan.

2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7916505.

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

Tuba, V, Jovanovic, R & Tuba, M 2017, Digital image forgery detection based on shadow HSV inconsistency. in 2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017., 7916505, Institute of Electrical and Electronics Engineers Inc., 5th International Symposium on Digital Forensic and Security, ISDFS 2017, Tirgu Mures, 26/4/17. https://doi.org/10.1109/ISDFS.2017.7916505
Tuba V, Jovanovic R, Tuba M. Digital image forgery detection based on shadow HSV inconsistency. In 2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7916505 https://doi.org/10.1109/ISDFS.2017.7916505
Tuba, Viktor ; Jovanovic, Raka ; Tuba, Milan. / Digital image forgery detection based on shadow HSV inconsistency. 2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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