Digital image forgery detection by edge analysis

Reza Moradi Rad, Koksheik Wong

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

4 Citations (Scopus)


The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)9781479987443
Publication statusPublished - 20 Aug 2015
Externally publishedYes
EventIEEE International Conference on Consumer Electronics-Taiwan 2015 - Taipei, Taiwan
Duration: 6 Jun 20158 Jun 2015
Conference number: 2nd (Proceedings)


ConferenceIEEE International Conference on Consumer Electronics-Taiwan 2015
Abbreviated titleICCE-TW 2015
Internet address


  • Digital images
  • Discrete cosine transforms
  • Forgery
  • Image coding
  • Image edge detection
  • Security
  • Splicing

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