Perceptual Shaping in Digital Image Watermarking Using LDPC Codes and Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Usman:2008:wsc,
  author =       "Imran Usman and Asifullah Khan and 
                 Rafiullah Chamlawi and Tae-Sun Choi",
  old_title =    "A Generalized Approach for Embedding Watermark in
                 Digital Images using LDPC Codes and Genetic
                 Programming",
  title =        "Perceptual Shaping in Digital Image Watermarking Using
                 LDPC Codes and Genetic Programming",
  old_booktitle = "WSC 2008 Online World Conference on Soft Computing in
                 Industrial Applications",
  booktitle =    "Applications of Soft Computing",
  year =         "2008",
  editor =       "J. Mehnen and M. Koppen A. Saad and A. Tiwari",
  series =       "Advances in Soft Computing",
  volume =       "58",
  pages =        "509--518",
  address =      "http://wsc-2008.softcomputing.org",
  month =        "10--21 " # nov,
  organisation = "World Federation on Soft Computing",
  publisher =    "Springer",
  note =         "Published 2009",
  keywords =     "genetic algorithms, genetic programming, Digital
                 Watermarking, Low-Density Parity Check codes, Discrete
                 Cosine Transform, Human Visual System",
  isbn13 =       "978-3-540-89618-0",
  DOI =          "doi:10.1007/978-3-540-89619-7_50",
  abstract =     "In this work, we present a generalized scheme for
                 embedding watermark in digital images used for
                 commercial aims. Genetic Programming is used to develop
                 appropriate visual tuning functions, in accordance with
                 Human Visual System, which cater for watermark
                 imperceptibility-robustness trade off in the presence
                 of a series of probable attacks. The use of low-density
                 parity check codes for information encoding further
                 enhances watermark robustness. Experimental results on
                 a dataset of test images show marked improvement in
                 robustness, when compared to the conventional
                 approaches with the same level of visual quality. The
                 proposed scheme is easy to implement and ensures
                 significant robustness for watermarking a large number
                 of small digital images.",
  notes =        "WSC2008

                 Department of Computer and Information Sciences,
                 Pakistan Institute of Engineering and Applied Sciences,
                 Nilore, Islamabad Pakistan",
}

Genetic Programming entries for Imran Usman Asifullah Khan Rafiullah Chamlawi Tae Sun Choi

Citations