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The Minimum Detectable Capacity of Digital Image Information Hiding

  • Fan Zhang
  • Ruixin Liu
  • Xinhong Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

Information hiding capacity of digital image is the maximum information that can be hidden in an image. But the lower limit of information hiding, the minimum detectable information capacity is also an interesting problem. This paper proposes a method to analyze the minimum detectable capacity of information hiding in digital images based on the theories of attractors and attraction basin of neural network. The results of research show that the attractors of neural network decide the lower limit of information hiding.

Keywords

Neural Network Image Watermark Information Hiding Stego Image Perceptual Model 
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 2006

Authors and Affiliations

  • Fan Zhang
    • 1
  • Ruixin Liu
    • 2
  • Xinhong Zhang
    • 3
  1. 1.College of Computer & Information EngineeringHenan UniversityKaifengP.R. China
  2. 2.Yellow River Conservancy Technical InstituteKaifengP.R. China
  3. 3.Department of Computer CenterHenan UniversityKaifengP.R. China

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