About: Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing     Goto   Sponge   NotDistinct   Permalink

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Description
  • The novel method for the quality assessment of compressed images is described in this paper. Quality scores (highly correlated with experimental) are estimated using oriented multichannel pyramidal decomposition and artificial neural network as a postprocessor.
  • The novel method for the quality assessment of compressed images is described in this paper. Quality scores (highly correlated with experimental) are estimated using oriented multichannel pyramidal decomposition and artificial neural network as a postprocessor. (en)
  • V tomto elánku je popsána nová metoda pro vyhodnocování kvality komprimovaných obrazu. Kvalita obrazu (vysoce korelovaná s experimentálními daty) je odhadována s pou3itím orientované vícepásmové pyramidové dekompozice a následného zpracování dat pomocí neuronové síti. (cs)
Title
  • Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing
  • Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing (en)
  • Hodnocení kvality obrazu s vyu3itím orientované vícepásmové pyramidové dekompozice a následného zpracování dat pomocí neuronové síti (cs)
skos:prefLabel
  • Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing
  • Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing (en)
  • Hodnocení kvality obrazu s vyu3itím orientované vícepásmové pyramidové dekompozice a následného zpracování dat pomocí neuronové síti (cs)
skos:notation
  • RIV/68407700:21230/05:03108686!RIV07-GA0-21230___
http://linked.open.../vavai/riv/strany
  • 175 ; 178
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/2054), P(GD102/03/H109)
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
  • 524231
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/05:03108686
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image quality; neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1F41F7FCEF47]
http://linked.open...v/mistoKonaniAkce
  • VUT v Brni, FEKT
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Radioelektronika 2005 - Conference Proceedings
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...iv/tvurceVysledku
  • Fliegel, Karel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně. Fakulta elektrotechniky a informatiky. Ústav radioelektroniky
https://schema.org/isbn
  • 80-214-2904-6
http://localhost/t...ganizacniJednotka
  • 21230
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