The Minimum Detectable Capacity of Digital Image Information Hiding (original) (raw)

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.

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Authors and Affiliations

  1. College of Computer & Information Engineering, Henan University, Kaifeng, 475001, P.R. China
    Fan Zhang
  2. Yellow River Conservancy Technical Institute, Kaifeng, 475001, P.R. China
    Ruixin Liu
  3. Department of Computer Center, Henan University, Kaifeng, 475001, P.R. China
    Xinhong Zhang

Authors

  1. Fan Zhang
  2. Ruixin Liu
  3. Xinhong Zhang

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
    Jun Wang
  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China
    Zhang Yi
  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A
    Jacek M. Zurada
  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China
    Bao-Liang Lu
  5. School of Electrical and Electronic Engineering, University of Manchester, UK
    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhang, F., Liu, R., Zhang, X. (2006). The Minimum Detectable Capacity of Digital Image Information Hiding. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191\_41

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