Calibration based reliable detector for detecting LSB matching steganography

  • Authors:
  • Fei Peng;Xiaolong Li;Bin Yang

  • Affiliations:
  • Institute of Computer Science and Technology, Peking University, Beijing, China;Institute of Computer Science and Technology, Peking University, Beijing, China;Institute of Computer Science and Technology, Peking University, Beijing, China

  • Venue:
  • IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
  • Year:
  • 2012

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Abstract

In this paper, a novel detector for detecting LSB matching steganography in gray-scale images is presented. We extend the previously introduced detectors, the one based on the center of mass of the histogram characteristic function (HCF-COM) and its calibrated version (C-HCF-COM), in two aspects. On one hand, to carry out detection, HCF-COM and C-HCF-COM computed from the first and second order difference images are combined together to build a feature set. On the other hand, the calibration used in C-HCF-COM, i.e., the downsample of original image, is changed to the Gaussian filtered image. With these extensions, our method significantly improves HCF-COM and C-HCF-COM. Its superiority over some state-of-the-art works is also demonstrated through extensive experiments.