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Description
  • A novel approach for objective image quality assessment is presented in this paper. Reliable methods are often required to evaluate the quality effects of the visual artifacts appearing in a digital image processing while using lossy image compression. Optimization of the previously proposed model for image quality evaluation with Artificial Neural Network (ANN) has been done. The main aim of this approach is to automatically derive a score that is the same as, or at least well correlated with the Mean Opinion Score (MOS) obtained from the subjective votes of many observers. Advanced method of data preprocessing (Mutual Information - MI and Principal Component Analysis - PCA) has been applied to obtain good prediction of the image quality which is close to subjective results from the group of observers - Mean Opinion Scores (MOS). The proposed model achieves good prediction performance for used test samples.
  • A novel approach for objective image quality assessment is presented in this paper. Reliable methods are often required to evaluate the quality effects of the visual artifacts appearing in a digital image processing while using lossy image compression. Optimization of the previously proposed model for image quality evaluation with Artificial Neural Network (ANN) has been done. The main aim of this approach is to automatically derive a score that is the same as, or at least well correlated with the Mean Opinion Score (MOS) obtained from the subjective votes of many observers. Advanced method of data preprocessing (Mutual Information - MI and Principal Component Analysis - PCA) has been applied to obtain good prediction of the image quality which is close to subjective results from the group of observers - Mean Opinion Scores (MOS). The proposed model achieves good prediction performance for used test samples. (en)
  • V tomto článku je představena nová metoda pro hodnocení objektivní kvality obrazu. Pro hodnocení vlivu artefaktů vznikajících při zpracování obrazu jsou požadovány spolehlivé metody. Za tímto účelem byla provedena optimalizace našeho dříve realizovaného modelu s umělou neuronovou sítí. Hlavním cílem tohoto přístupu je automaticky určit výslednou kvalitu, která bude stejná, nebo přinejmenším dobře korelovaná s výsledky subjektivních testů MOS (Mean Opinion Score). Na předzpracování dat byla použita pokročilá metoda (Mutual Information - MI, Principal Component Analysis - PCA) tak, aby odhad kvality byl blízký subjektivním soudům pozorovatelů. Navržený model dosahoval pro testované vzorku dobrých výsledků. (cs)
Title
  • Image and Video Processing for Image Quality Evaluation Using Artificial Neural Network
  • Zpracování obrazu a videa pro hodnocení obrazové kvality s použitím neuronových sítí (cs)
  • Image and Video Processing for Image Quality Evaluation Using Artificial Neural Network (en)
skos:prefLabel
  • Image and Video Processing for Image Quality Evaluation Using Artificial Neural Network
  • Zpracování obrazu a videa pro hodnocení obrazové kvality s použitím neuronových sítí (cs)
  • Image and Video Processing for Image Quality Evaluation Using Artificial Neural Network (en)
skos:notation
  • RIV/68407700:21230/06:03117879!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
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
  • 478828
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:03117879
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • artificial neural network; image compression; image processing; image quality (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [03443FB3200C]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Workshop 2006
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
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
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  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 80-01-03439-9
http://localhost/t...ganizacniJednotka
  • 21230
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