Evolutionary design of efficient and robust switching image filters

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Zdenek Vasicek and Michal Bidlo and Lukas Sekanina and 
                 Kyrre Glette",
  title =        "Evolutionary design of efficient and robust switching
                 image filters",
  booktitle =    "2011 NASA/ESA Conference on Adaptive Hardware and
                 Systems (AHS)",
  year =         "2011",
  month =        "6-9 " # jun,
  pages =        "192--199",
  address =      "San Diego, USA",
  size =         "8 pages",
  abstract =     "This paper proposes an evolutionary approach based on
                 Cartesian Genetic Programming to the design of image
                 filters for impulse burst noise. The impulse burst
                 noise belongs to more serious image distortions that
                 cause a loss of information in a series of pixels
                 together. The results introduced herein represent a
                 continuation of our research in the design of
                 high-quality image filters. Whilst the previous
                 experiments considered only basic impulse burst noise
                 in which a burst corrupting a series of pixels could
                 take a single value, this paper is devoted to the
                 filtering of more realistic noise of this type where
                 the pixels in a burst can take different values. In
                 order to increase the probability of removing the noise
                 pixels while retaining other pixels unchanged, the
                 concept of switching filter will be applied. In our
                 case it means that the filter system is designed by
                 evolution of both a filter circuit and a noise
                 detector. We show that the proposed method is able to
                 design an efficient and robust impulse burst noise
                 filter that exhibits better filtering properties in
                 comparison with several conventional approaches and,
                 moreover, it is also suitable for a high-speed image
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, evolutionary design, filter
                 circuit, high-speed image processing, image
                 distortions, image filters, impulse burst noise, noise
                 detector, probability, burst noise, distortion,
                 filtering theory, image processing, probability",
  DOI =          "doi:10.1109/AHS.2011.5963935",
  notes =        "Also known as \cite{5963935}",

Genetic Programming entries for Zdenek Vasicek Michal Bidlo Lukas Sekanina Kyrre Harald Glette