Optimizing Perceptual Shaping of a Digital Watermark Using Genetic Programming

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@Article{Khan:2004:IJECE,
  author =       "Asifullah Khan and Anwar M. Mirza and Abdul Majid",
  title =        "Optimizing Perceptual Shaping of a Digital Watermark
                 Using Genetic Programming",
  journal =      "Iranian Journal of Electrical and Computer Engineering
                 (IJECE)",
  year =         "2004",
  volume =       "3",
  number =       "2",
  pages =        "144--150",
  month =        "Summer-Fall",
  keywords =     "genetic algorithms, genetic programming, watermarking
                 strength, human visual system, spatial activity",
  ISSN =         "1682-0053",
  URL =          "http://www.ijece.org/Backissues/V3N2_toc.html#anchor11",
  URL =          "http://www.sid.ir/En/VEWSSID/J_pdf/89020040210.pdf",
  size =         "7 pages",
  abstract =     "Embedding of a digital watermark in an electronic
                 document is proving to be a feasible solution for
                 copyright protection and authentication purposes. In
                 this paper, we present an innovative scheme of
                 perceptually shaping watermark to the cover images. A
                 watermark is generally embedded in the selected
                 coefficients of the transformed image using a carefully
                 chosen watermarking strength. Choice of a good
                 watermarking strength, to perceptually shape the
                 watermark according to the cover image is crucial to
                 make a tradeoff between the two conflicting properties,
                 namely: robustness and imperceptibility of the
                 watermark. Traditionally, a constant watermarking
                 strength obtained from spatial activity masking and
                 heuristics has been used for all the selected
                 coefficients during embedding. We consider this
                 tradeoff as an optimisation problem and have
                 investigated an evolutionary optimisation technique to
                 find optimal/near-optimal perceptual shaping function
                 for DCT based watermarking system. The new scheme
                 provides an excellent tradeoff between the robustness
                 and imperceptibility and is image adaptive. Improved
                 resistance to attacks, especially against JPEG
                 compression of quality 7percent and Gaussian noise of
                 variance 17000 has been observed",
  notes =        "http://www.ijece.org/",
}

Genetic Programming entries for Asifullah Khan Anwar M Mirza Abdul Majid

Citations