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  • Image processing represents a research field in which high-quality solutions have been obtained using various soft computing techniques. Evolutionary algorithms constitute a class of stochastic search methods that are applicable in both optimization and design tasks. In the area of circuit design Cartesian Genetic Programming has often been utilized in combination with an algorithm of Evolutionary Strategy. Digital image filters represent a specific class of circuits whose design can be performed by means of this approach. Switching filters are advanced non-linear filtering techniques in which the main idea is to detect and filter the noise pixels while keeping the uncorrupted pixels unchanged in order to increase the quality of the resulting image. The aim of this article is to present a robust design technique based on Cartesian Genetic Programming for the automatic synthesis of switching image filters intended for real-time processing applications. The robustness of the proposed evoluti
  • Image processing represents a research field in which high-quality solutions have been obtained using various soft computing techniques. Evolutionary algorithms constitute a class of stochastic search methods that are applicable in both optimization and design tasks. In the area of circuit design Cartesian Genetic Programming has often been utilized in combination with an algorithm of Evolutionary Strategy. Digital image filters represent a specific class of circuits whose design can be performed by means of this approach. Switching filters are advanced non-linear filtering techniques in which the main idea is to detect and filter the noise pixels while keeping the uncorrupted pixels unchanged in order to increase the quality of the resulting image. The aim of this article is to present a robust design technique based on Cartesian Genetic Programming for the automatic synthesis of switching image filters intended for real-time processing applications. The robustness of the proposed evoluti (en)
Title
  • Evolution of efficient real-time non-linear image filters for FPGAs
  • Evolution of efficient real-time non-linear image filters for FPGAs (en)
skos:prefLabel
  • Evolution of efficient real-time non-linear image filters for FPGAs
  • Evolution of efficient real-time non-linear image filters for FPGAs (en)
skos:notation
  • RIV/00216305:26230/13:PU106274!RIV14-GA0-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(GAP103/10/1517)
http://linked.open...iv/cisloPeriodika
  • 11
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 73795
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106274
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Non-linear image filter, noise removal, Cartesian genetic programming, evolutionary design, digital circuit (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [DF66903EF02E]
http://linked.open...i/riv/nazevZdroje
  • SOFT COMPUTING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 17
http://linked.open...iv/tvurceVysledku
  • Sekanina, Lukáš
  • Vašíček, Zdeněk
  • Bidlo, Michal
http://linked.open...ain/vavai/riv/wos
  • 000325822900017
issn
  • 1432-7643
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/s00500-013-1040-8
http://localhost/t...ganizacniJednotka
  • 26230
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