Design an Aperiodic Stochastic Resonance Signal Processor for Digital Watermarking

  • Shuifa Sun
  • Bangjun Lei
  • Sheng Zheng
  • Sam Kwong
  • Xuejun Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5041)


In this paper, we propose an aperiodic stochastic resonance (ASR) signal processor for communication systems based on a bi-stable mechanism. This processor can detect base-band binary pulse amplitude modulation (PAM) signals. In this processor related parameters can be adjusted. The adjustment mechanism is explained from the perspective of the conventional noise-induced nonlinear signal processing. To demonstrate this processors usability, based on it we implemented a digital image watermarking algorithm in the discrete cosine transform (DCT) domain. In this algorithm, the watermark and the DCT alternating current (ac) coefficients of the image are viewed as the input signal and the channel noise, respectively. This phenomenon that the detection bit error ratio (BER) of the system suffering from certain attacks is lower than that of the system not suffering from any attack is systematically analyzed.


digital watermarking stochastic resonance signal processing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Shuifa Sun
    • 1
    • 2
    • 3
  • Bangjun Lei
    • 2
  • Sheng Zheng
    • 1
    • 2
  • Sam Kwong
    • 3
  • Xuejun Zhou
    • 1
  1. 1.College of Electrical Engineering and Information TechnologyChina Three Gorges UniversityYichangChina
  2. 2.Institute of Intelligent Vision and Image InformationChina Three Gorges UniversityYichangChina
  3. 3.Department of Computer ScienceCity University of Hong Kong, KowloonHong Kong SARP.R. China

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