Image splicing detection using 2-D phase congruency and statistical moments of characteristic function

Wen Chen, Yun Q. Shi, Wei Su

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

118 Scopus citations

Abstract

A new approach to efficient blind image splicing detection is proposed in this paper. Image splicing is the process of making a composite picture by cutting and joining two or more photographs. The spliced image may introduce a number of sharp transitions such as lines, edges and corners. Phase congruency has been known as a sensitive measure of these sharp transitions and hence been proposed as features for splicing detection. In addition to the phase information, the magnitude information is also used for splicing detection. Specifically, statistical moments of characteristic functions of wavelet subbands have been examined to catch the difference between the authentic images and spliced images. Consequently, the proposed scheme extracts image features from moments of wavelet characteristic functions and 2-D phase congruency for image splicing detection. The experiments have demonstrated that the proposed approach can achieve a higher detection rate as compared with the state-of-the-art.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents IX
PublisherSPIE
ISBN (Print)0819466182, 9780819466181
DOIs
StatePublished - Jan 1 2007
EventSecurity, Steganography, and Watermarking of Multimedia Contents IX - San Jose, CA, United States
Duration: Jan 29 2007Feb 1 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6505

Other

OtherSecurity, Steganography, and Watermarking of Multimedia Contents IX
CountryUnited States
CitySan Jose, CA
Period1/29/072/1/07

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

Keywords

  • Characteristic functions
  • Image splicing
  • Phase congruency
  • Statistical moments
  • Wavelet decomposition

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  • Cite this

    Chen, W., Shi, Y. Q., & Su, W. (2007). Image splicing detection using 2-D phase congruency and statistical moments of characteristic function. In Proceedings of SPIE-IS and T Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents IX [65050R] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6505). SPIE. https://doi.org/10.1117/12.704321