Multi block based image watermarking in wavelet domain using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{journals/iajit/AbbasiSA14,
  author =       "Almas Abbasi and Woo Chaw Seng and 
                 Imran Shafiq Ahmad",
  title =        "Multi block based image watermarking in wavelet domain
                 using genetic programming",
  journal =      "The International Arab Journal of Information
                 Technology",
  year =         "2014",
  number =       "6",
  volume =       "11",
  pages =        "582--589",
  keywords =     "genetic algorithms, genetic programming, Robust
                 watermark, wavelet domain, digital watermarking, HVS",
  bibdate =      "2014-11-03",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/iajit/iajit11.html#AbbasiSA14",
  URL =          "http://ccis2k.org/iajit/?option=com_content&task=blogcategory&id=94&Itemid=364",
  size =         "8 pages",
  abstract =     "The increased use of the Internet in sharing and
                 distribution of digital data makes it is very difficult
                 to maintain copyright and ownership of data. Digital
                 watermarking offers a method for authentication and
                 copyright protection. We propose a blind, still image,
                 Genetic Programming (GP) based robust watermark scheme
                 for copyright protection. In this scheme, pseudorandom
                 sequence of real number is used as watermark. It is
                 embedded into perceptually significant blocks of
                 vertical and horizontal sub-band in wavelet domain to
                 achieve robustness. GP is used to structure the
                 watermark for improved imperceptibility by considering
                 the Human Visual System (HVS) characteristics such as
                 luminance sensitivity and self and neighbourhood
                 contrast masking. We also present a GP function which
                 determines the optimal watermark strength for selected
                 coefficients irrespective of the block size. Watermark
                 detection is performed using correlation. Our
                 experiments show that in proposed scheme the watermark
                 resists image processing attack, noise attack,
                 geometric attack and cascading attack. We compare our
                 proposed technique with other two genetic perceptual
                 model based techniques. Comparison results show that
                 our multiblock based technique is approximately
                 5percent, and 23percent more robust, then the other two
                 compared techniques.",
}

Genetic Programming entries for Almas Abbasi Woo Chaw Seng Imran Shafiq Ahmad

Citations