• DocumentCode
    1971420
  • Title

    Multireselution quantization-based image watermarking

  • Author

    Nguyen, Hoan ; Priemer, Roland

  • Author_Institution
    Illinois Univ. Chicago, Chicago
  • fYear
    2007
  • fDate
    17-20 May 2007
  • Firstpage
    401
  • Lastpage
    406
  • Abstract
    Illegal duplication and distribution of digital multimedia content over the Internet has been prevalent over the past years. Commercial businesses face millions of dollars in lost revenue each year due to these activities. The traditional approach to data protection is to apply encryption and scrambling. However, these methods alone are not adequate to provide complete content-protection since they cannot protect the data once it has been decrypted and descrambled. A recent technique called digital watermarking is proposed as a complementary approach to cryptography. Digital watermarking is a process in which security or authentication data is imperceptibly embedded within the host data. In this paper, we propose a robust blind image watermarking algorithm for embedding a binary watermark sequence under the wavelet domain. This algorithm demonstrates robustness to some common watermark distortions, or attacks, such as lowpass filtering, JPEG compression, and additive Gaussian noise. Performance comparisons are also given with respect to other robust algorithms.
  • Keywords
    cryptography; data compression; filtering theory; image coding; low-pass filters; watermarking; Internet; JPEG compression; additive Gaussian noise; binary watermark sequence; content-protection; data protection; digital multimedia content; digital watermarking; encryption; lowpass filtering; multiresolution quantization-based image watermarking; robust algorithms; robust blind image watermarking algorithm; Authentication; Business; Cryptography; Data security; Filtering algorithms; Internet; Noise robustness; Protection; Watermarking; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology, 2007 IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-0941-9
  • Electronic_ISBN
    978-1-4244-0941-9
  • Type

    conf

  • DOI
    10.1109/EIT.2007.4374505
  • Filename
    4374505