A New Statistical Restoration Method for Spatial Domain Images

  • Arijit Sur
  • Piyush Goel
  • Jayanta Mukherjee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

In this paper, a new algorithm is proposed for restoring first order statistics of the cover image after steganographic embedding in spatial domain on gray scale images. The main motivation of this paper is to prevent first order statistics based steganalytic attack in spatial domain. We provide experimental results to show that the proposed scheme gives better performance than existing restoration methods especially for non-Gaussian cover distribution. A few state of art steganalytic attacks based on first order image statistics are considered and it is experimentally shown that proposed scheme has outperformed the existing schemes against those attacks.

Keywords

Cover Image Stego Image Total Noise Restoration Scheme Full Compensation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Arijit Sur
    • 1
  • Piyush Goel
    • 2
  • Jayanta Mukherjee
    • 2
  1. 1.Department of Computer Science and EngineeringIndian Institute of TechnologyGuwahatiIndia
  2. 2.Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpurIndia

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