Genetic programming on GPUs for image processing

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

@Article{harding_genetic_2008,
  author =       "S. Harding and W. Banzhaf",
  title =        "Genetic programming on {GPUs} for image processing",
  journal =      "International Journal of High Performance Systems
                 Architecture",
  year =         "2008",
  volume =       "1",
  number =       "4",
  pages =        "231--240",
  keywords =     "genetic algorithms, genetic programming, GPU, graphics
                 processing units, image filters, image processing,
                 parallel processing, reverse engineering",
  ISSN =         "1751-6528",
  URL =          "http://www.inderscience.com/search/index.php?action=record&rec_id=24207&prevQuery=&ps=10&m=or",
  DOI =          "doi:10.1504/IJHPSA.2008.024207",
  abstract =     "The evolution of image filters using genetic
                 programming is a relatively unexplored task. This is
                 most likely due to the high computational cost of
                 evaluating the evolved programs. The parallel
                 processors available on modern graphics cards can be
                 used to greatly increase the speed of evaluation.
                 Previous papers in this area dealt with tasks such as
                 noise reduction and edge detection. Here we demonstrate
                 that other more complicated processes can also be
                 successfully evolved and that we can 'reverse engineer'
                 the output from filters used in common graphics
                 manipulation programs.",
  notes =        "IJHPSA",
}

Genetic Programming entries for Simon Harding Wolfgang Banzhaf

Citations