Evolution of the Discrete Cosine Transform Using Genetic Programming

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@Article{Evolution_of_the_Discrete_Cosine_Transform_Using_Genetic_Programming,
  author =       "Xiang Biao Cui and Martin Johnson",
  title =        "Evolution of the Discrete Cosine Transform Using
                 Genetic Programming",
  journal =      "Research Letters in the Information and Mathematical
                 Sciences",
  year =         "2002",
  volume =       "3",
  pages =        "117--125",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://mro.massey.ac.nz/handle/10179/4332",
  URL =          "http://mro.massey.ac.nz/handle/10179/4363",
  URL =          "http://hdl.handle.net/10179/4363",
  size =         "10 pages",
  abstract =     "Compression of 2 dimensional data is important for the
                 efficient transmission, storage and manipulation of
                 Images. The most common technique used for lossy image
                 compression relies on fast application of the Discrete
                 Cosine Transform (DCT). The cosine transform has been
                 heavily researched and many efficient methods have been
                 determined and successfully applied in practice; this
                 paper presents a novel method for evolving a DCT
                 algorithm using genetic programming. We show that it is
                 possible to evolve a very close approximation to a 4
                 point transform. In theory, an 8 point transform could
                 also be evolved using the same technique.",
  notes =        "Available online at
                 http://www.massey.ac.nz/~wwiims/research/letters/

                 ",
}

Genetic Programming entries for Xiang Biao Cui Martin Johnson

Citations