A New Approach for Reducing Embedding Noise in Multiple Bit Plane Steganography

  • Arijit Sur
  • Piyush Goel
  • Jayanta Mukhopadhyay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

In this paper, a new steganographic paradigm for digital images has been proposed. In order to reduce embedding noise we propose that information should be embedded in the scaled version of a grayscale value rather than directly in the grayscale value. This approach can be combined with any multiple bit plane embedding scheme to reduce the embedding noise. We also introduce a new steganographic scheme by combining the proposed approach with an existing multiple bitplane steganographic scheme and compare the performance of the combined scheme against the bare version of the existing steganographic scheme. Experimental results reveal that for same embedding rate a multiple bit plane embedding scheme combined with proposed approach adds less embedding noise and thus is less detectable against Wavelet Moment Analysis blind steganalytic attack than its bare version.

Keywords

Cover Image Base Number Stego Image Propose Scheme Steganographic Algorithm 
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 2008

Authors and Affiliations

  • Arijit Sur
    • 1
  • Piyush Goel
    • 1
  • Jayanta Mukhopadhyay
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpur

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