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A Blind Watermarking Algorithm Based on HVS and RBF Neural Network for Digital Image

  • Cheng-Ri Piao
  • Seunghwa Beack
  • Dong-Min Woo
  • Seung-Soo Han
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

This paper proposes a new blind watermarking scheme in which a watermark is embedded into the discrete wavelet transform (DWT) domain. The method uses the HVS model, and radial basis function neural networks (RBF). RBF will be implemented while embedding and extracting watermark. The human visual system (HVS) model is used to determine the watermark insertion strength. The inserted watermark is a random sequence. The secret key determines the beginning position of the image where the watermark is embedded. This process prevents possible pirates from removing the watermark easily. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing attacks.

Keywords

Radial Basis Function Discrete Wavelet Transform Human Visual System Watermark Image Radial Basis Function Neural Network 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cheng-Ri Piao
    • 1
  • Seunghwa Beack
    • 1
  • Dong-Min Woo
    • 1
  • Seung-Soo Han
    • 1
  1. 1.Department of Information Engineering & NPT CenterMyongji UniversityYongin, KyunggiSouth Korea

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