Steganographic algorithm based on parametric discrete cosine transform

  • Authors:
  • Chandrakanth Boorla;Tanima Dutta;Arijit Sur

  • Affiliations:
  • Indian Institute of Technology, Guwahati, India;Indian Institute of Technology, Guwahati, India;Indian Institute of Technology, Guwahati, India

  • Venue:
  • Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
  • Year:
  • 2012

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Abstract

Self calibration based blind attacks are quite accurate to detect JPEG domain steganography. Efficient prediction of cover image statistics from its stego version is an important requirement in calibration based attacks. Domain separation i.e. separating embedding domain from the steganalytic domain, is used as a countermeasure against such calibration based attacks because it complicates the cover image prediction process. Most of the domain separation techniques in the recent past are based on randomization of embedding location. In this paper, a new domain separation technique is proposed which is based on parametric discrete cosine transform. In the proposed scheme, image transformation is randomized to separate embedding domain from the steganalytic domain. A comprehensive set of experiments is carried out to justify its applicability and evaluate its performance against JPEG domain steganalyis.