• DocumentCode
    3408270
  • Title

    Perceptual watermarking of still images

  • Author

    Podilchuk, C. ; Zeng, W.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1997
  • fDate
    23-25 Jun 1997
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    Content providers on the Internet are faced with the problem of how to secure electronic data. This problem has generated research activity in the area of digital watermarking of electronic content. The challenge is to introduce a digital watermark that is both transparent and highly robust to common signal processing and possible attacks. The two basic requirements for an effective watermarking scheme, robustness and transparency, conflict with each other. We propose a watermarking technique for digital images that is based on utilizing visual models which have been developed in the context of image compression. The visual models give us a direct way to determine the maximum amount of watermark signal that each portion of an image can tolerate without affecting the visual quality of the image. This allows us to provide the maximum strength watermark which in turn, is extremely robust to common image processing and editing such as JPEG compression, rescaling, and cropping. Our watermarking scheme is based on a DCT framework which allows for the possibility of directly watermarking the JPEG bitstream. Our scheme is shown to provide very good results both in terms of image transparency and robustness
  • Keywords
    Internet; multimedia computing; security of data; visual databases; DCT framework; Internet; JPEG bitstream; content providers; digital watermark; image processing; image transparency; robustness; secure electronic data; visual quality; watermarking; Context modeling; Digital images; Digital signal processing; Discrete cosine transforms; Image coding; Image processing; Internet; Robustness; Transform coding; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 1997., IEEE First Workshop on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    0-7803-3780-8
  • Type

    conf

  • DOI
    10.1109/MMSP.1997.602662
  • Filename
    602662