Multiple Heterogeneous JPEG Image Hierarchical Forensic

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 393)

Abstract

Since image processing software is widely used to tamper or embed data into JPEG images, the forensics of tampered JPEG images now plays a considerable important role. However, most existing forensics methods that use binary classification can hardly deal with multiclass image forensics problems properly under network environments. In this paper, we propose a hierarchical forensics scheme against multiple heterogeneous JPEG images. We introduce a compression identifier based on Markov model of DCT coefficients as the first hierarchical section and then develop a tampering detection and steganalyzer separately as the second phase. We conduct a series of experiments to testify the validity of the proposed method.

Keywords

Image forensics Heterogeneous images Classification 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Xiangwei Kong
    • 1
  • Bo Wang
    • 1
  • Mingliang Yang
    • 1
  • Yue Feng
    • 1
  1. 1.School of Information and Communication EngineeringDalian University of TechnologyDalianPeople’s Republic of China

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