• DocumentCode
    2505466
  • Title

    Blind watermarking scheme based on neural network

  • Author

    Huang, Song ; Zhang, Wei ; Feng, Wei ; Yang, Huaqian

  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5985
  • Lastpage
    5989
  • Abstract
    A novel blind watermarking technique based on back propagation neural networks is proposed. The proposed watermarking technique hides a scrambled watermark into an image, and takes HVS characteristics into consideration during the watermark embedding process, then uses a back propagation neural network to learn the characteristics of the embedded watermark related to the watermarked image. With the aid of the learning and adaptive capabilities of neural network, the trained neural network can exactly recover the watermark from the watermarked image. Extensive experiments show that the proposed watermarking algorithm has a good imperceptibility and high robustness to various common image processing attacks.
  • Keywords
    backpropagation; image coding; neural nets; watermarking; back propagation neural network; blind watermarking scheme; human visual system; image processing; scrambled watermark; watermark embedding process; Artificial neural networks; Biological neural networks; Computer science education; Discrete cosine transforms; Discrete wavelet transforms; Educational institutions; Hopfield neural networks; Neural networks; Robustness; Watermarking; digital watermarking; human visual system (HVS); neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594557
  • Filename
    4594557