Energy Based Coefficient Selection for Digital Watermarking in Wavelet Domain

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@InProceedings{Jabeen:2010:ICICA,
  author =       "Fouzia Jabeen and Zahoor Jan and Arfan Jaffar and 
                 Anwar M. Mirza",
  title =        "Energy Based Coefficient Selection for Digital
                 Watermarking in Wavelet Domain",
  booktitle =    "Proceedings of the International Conference on
                 Information Computing and Applications, ICICA 2010.
                 Part II",
  year =         "2010",
  editor =       "Rongbo Zhu and Yanchun Zhang and Baoxiang Liu and 
                 Chunfeng Liu",
  volume =       "106",
  series =       "Communications in Computer and Information Science",
  pages =        "260--267",
  address =      "Tangshan, China",
  month =        oct # " 15-18",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Discrete
                 wavelet transform (DWT), imperceptibility, robustness,
                 perceptual mask, luminance, contrast, noise visibility
                 function",
  isbn13 =       "978-3-642-16338-8",
  DOI =          "doi:10.1007/978-3-642-16339-5_34",
  size =         "8 pages",
  abstract =     "Ownership protection and authorisation of digital
                 multimedia is of paramount importance. The availability
                 of powerful tools for editing, loss less copying and
                 transmission of digital multimedia (such as images) has
                 compounded the problem. Image watermarking is an
                 effective solution for the problem of authentication
                 and protection of copyrighted image content. In this
                 paper Discrete Wavelet Transform (DWT) based
                 watermarking technique is proposed in which mean energy
                 of the each of 32x32 block in the CH and CV subbands is
                 calculated and range of coefficients that exceed the
                 mean energy of the corresponding block are selected for
                 watermark embedding. Watson Perceptual Distortion
                 Control Model is considered to keep the Perceptual
                 quality of the image. Genetic Programming (GP) delivers
                 optimum watermarking level for the selected
                 coefficients. Results show negligible difference
                 between original and watermarked image demonstrating
                 key feature of imperceptibility. The technique proves
                 to be effective against a set of malicious attacks.",
}

Genetic Programming entries for Fauzia Jabeen Zahoor Jan Arfan Jaffar Anwar M Mirza

Citations