Detect Digital Image Splicing with Visual Cues

  • Zhenhua Qu
  • Guoping Qiu
  • Jiwu Huang
Conference paper

DOI: 10.1007/978-3-642-04431-1_18

Volume 5806 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Qu Z., Qiu G., Huang J. (2009) Detect Digital Image Splicing with Visual Cues. In: Katzenbeisser S., Sadeghi AR. (eds) Information Hiding. IH 2009. Lecture Notes in Computer Science, vol 5806. Springer, Berlin, Heidelberg

Abstract

Image splicing detection has been considered as one of the most challenging problems in passive image authentication. In this paper, we propose an automatic detection framework to identify a spliced image. Distinguishing from existing methods, the proposed system is based on a human visual system (HVS) model in which visual saliency and fixation are used to guide the feature extraction mechanism. An interesting and important insight of this work is that there is a high correlation between the splicing borders and the first few fixation points predicted by a visual attention model using edge sharpness as visual cues. We exploit this idea to develope a digital image splicing detection system with high performance. We present experimental results which show that the proposed system outperforms the prior arts. An additional advantage offered by the proposed system is that it provides a convenient way of localizing the splicing boundaries.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Zhenhua Qu
    • 1
  • Guoping Qiu
    • 2
  • Jiwu Huang
    • 1
  1. 1.School of Information Science and TechnologySun Yat-Sen UniversityChina
  2. 2.School of Computer ScienceUniversity of NottinghamUK