Evolution of Impulse Bursts Noise Filters

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Zdenek Vasicek and Michal Bidlo and Lukas Sekanina and 
                 Jim Torresen and Kyrre Glette and Marcus Furuholmen",
  title =        "Evolution of Impulse Bursts Noise Filters",
  booktitle =    "NASA/ESA Conference on Adaptive Hardware and Systems,
                 AHS 2009",
  year =         "2009",
  month =        "29 2009-" # aug # " 1",
  pages =        "27--34",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, evolutionary algorithm,
                 evolutionary circuit design, impulse burst noise
                 filter, median filter, burst noise, image denoising,
                 impulse noise, median filters",
  DOI =          "doi:10.1109/AHS.2009.33",
  abstract =     "The paper deals with evolutionary design of impulse
                 burst noise filters. As proposed filters use the
                 filtering window of 5times5 pixels, the design method
                 has to be able to manage 25 eight-bit inputs. The large
                 number of inputs results in an evolutionary algorithm
                 not able to produce reasonably working filters because
                 of the so-called scalability problem of evolutionary
                 circuit design. However, the filters are designed using
                 an extended version of Cartesian Genetic Programming
                 which enables to reduce the number of inputs by
                 selecting the most important of them. Experimental
                 evaluation of the method has shown that evolved filters
                 exhibit better results than conventional solutions
                 based on various median filters.",
  notes =        "Also known as \cite{5325476}",

Genetic Programming entries for Zdenek Vasicek Michal Bidlo Lukas Sekanina Jim Torresen Kyrre Harald Glette Marcus Furuholmen