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  • Evolutionary design has shown as a powerful technique in solving various engineering problems. One of the areas in which this approach succeeds is digital image processing. Image filtering represents a wide topic in 2D signal processing. In this case different types of noise are considered in the filtering process to restore the image quality that has been decreased by changing values of some pixels in the image (e.g. due to the transmission through unreliable lines or in the process of acquiring the image). Impulse noise represents a basic type of non-linear noise typically affecting a single pixel in different regions of the image. In order to eliminate this type noise median filters have usually been applied. However, for higher noise intensity or wide range of the noise values this approach leads to corrupting non-noise pixels as well which results in images that are smudged or lose some details after the filtering process. Therefore, advanced filtering techniques have been developed i
  • Evolutionary design has shown as a powerful technique in solving various engineering problems. One of the areas in which this approach succeeds is digital image processing. Image filtering represents a wide topic in 2D signal processing. In this case different types of noise are considered in the filtering process to restore the image quality that has been decreased by changing values of some pixels in the image (e.g. due to the transmission through unreliable lines or in the process of acquiring the image). Impulse noise represents a basic type of non-linear noise typically affecting a single pixel in different regions of the image. In order to eliminate this type noise median filters have usually been applied. However, for higher noise intensity or wide range of the noise values this approach leads to corrupting non-noise pixels as well which results in images that are smudged or lose some details after the filtering process. Therefore, advanced filtering techniques have been developed i (en)
Title
  • Evolutionary Design of Robust Noise-Specific Image Filters
  • Evolutionary Design of Robust Noise-Specific Image Filters (en)
skos:prefLabel
  • Evolutionary Design of Robust Noise-Specific Image Filters
  • Evolutionary Design of Robust Noise-Specific Image Filters (en)
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  • RIV/00216305:26230/11:PU96167!RIV12-MSM-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(GAP103/10/1517), P(GD102/09/H042), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 198508
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  • RIV/00216305:26230/11:PU96167
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  • Evolutionary algorithm, image filter, impulse noise. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8E71F37A1D8B]
http://linked.open...v/mistoKonaniAkce
  • New Orleans
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  • New Orleans
http://linked.open...i/riv/nazevZdroje
  • 2011 IEEE Congress on Evolutionary Computation
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http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vašíček, Zdeněk
  • Bidlo, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4244-7834-7
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  • 26230
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