• DocumentCode
    2677738
  • Title

    Research on an Advanced Novel Watermarking Technology with Higher Robustness

  • Author

    Zhu, Gengming

  • Author_Institution
    Inst. for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    3-5 Aug. 2008
  • Firstpage
    946
  • Lastpage
    950
  • Abstract
    Image watermarking has played an important role to protect and authenticate the intellectual property. One new advanced watermarking technology is presented in the paper. It incorporates two watermarks in an image to improve the protection and robustness. Before embedded in the host image, a watermark, in form of a PN sequence, is embedded in the wavelet domain of a primary watermark. It is tested by using Lena image as a host and by using the camera man as the primary watermark. The PN sequence is detectable by correlation among other five sequences, and a SNR of 44 dB was obtained. On the other hand, four types of noises are added to the watermarked image, namely luminance change, low pass filtering, compression, and salt and pepper noise. The robustness of the technology is tested by this method. In all above cases the watermark is easy to detect.
  • Keywords
    correlation methods; image coding; industrial property; low-pass filters; pseudonoise codes; watermarking; wavelet transforms; Lena image; PN sequence; compression noise; image watermarking; intellectual property authentication; intellectual property protection; low pass filtering noise; luminance change noise; pepper noise; salt noise; sequence correlation; wavelet domain; Cameras; Intellectual property; Low pass filters; Paper technology; Protection; Robustness; Signal to noise ratio; Testing; Watermarking; Wavelet domain; DWT; Image watermarking; watermarking technologies; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2008 International Symposium on
  • Conference_Location
    Guangzhou City
  • Print_ISBN
    978-0-7695-3258-5
  • Type

    conf

  • DOI
    10.1109/ISECS.2008.143
  • Filename
    4606209