Energy-Based Coefficient Selection for Digital Watermarking in Wavelet Domain

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  author =       "Fouzia Jabeen and Zahoor Jan and Farhana Jahangir",
  title =        "Energy-Based Coefficient Selection for Digital
                 Watermarking in Wavelet Domain",
  journal =      "International Journal of Innovative Computing and
  year =         "2013",
  volume =       "5",
  number =       "1",
  pages =        "18--25",
  note =         "Special Issue on: Innovative Computing in Image
                 Processing and Applications",
  keywords =     "genetic algorithms, genetic programming, Discrete
                 Wavelet Transform (DWT), Perceptual mask,
                 Imperceptibility, Robustness, Luminance, Contrast,
                 Noise visibility Function",
  ISSN =         "1751-648X",
  DOI =          "doi:10.1504/IJICA.2013.052352",
  abstract =     "The massive spreading of broadband networks and new
                 developments in digital technology has made owner-ship
                 protection and authorisation of digital multimedia a
                 very important issue. The reason is the availability of
                 powerful tools for editing, lossless copying and
                 transmission of digital multimedia such as images.
                 Image watermarking is now 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 block are selected for
                 watermark embedding. Watson Perceptual Distortion
                 Control Model is considered to keep the Perceptual
                 quality of the image and Genetic Programming (GP) is
                 used to provide optimum watermarking level for the
                 selected coefficients. The results show that there is
                 almost no difference between original and watermarked
                 image demonstrating key feature of imperceptibility.
                 The technique has been tested and proves to be
                 effective against a set of malicious attacks.",
  notes =        "Acceptance Date: 22 Nov 2011 IJICA

                 Department of Computer Science, Frontier Women
                 University, Peshawar 25000, Pakistan Department of
                 Computer Science, Abdul Wali Khan University, Noshera
                 Mardan Road, Mardan 23200, Pakistan

                 Frontier Women University, Naz Cinema Road, Opposite
                 Qila Bala Hisar, Peshawar City 25000, Pakistan See also

Genetic Programming entries for Fauzia Jabeen Zahoor Jan Farhana Jahangir