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Description
  • Super-resolution (SR) methods enable to obtain high resolution image (HR) from multiple low resolution input images (LR) of the same scene. Development of SR algorithms for real applications require reliable image quality metrics for performance comparison of various SR methods. In this paper, six standard SR methods were implemented and subjective image quality assessment was performed to evaluate the visual quality of the enhanced images. Nine image quality metrics were examined with respect to their ability to characterize the observed subjective image quality of SR enhancement.
  • Super-resolution (SR) methods enable to obtain high resolution image (HR) from multiple low resolution input images (LR) of the same scene. Development of SR algorithms for real applications require reliable image quality metrics for performance comparison of various SR methods. In this paper, six standard SR methods were implemented and subjective image quality assessment was performed to evaluate the visual quality of the enhanced images. Nine image quality metrics were examined with respect to their ability to characterize the observed subjective image quality of SR enhancement. (en)
Title
  • Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement
  • Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement (en)
skos:prefLabel
  • Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement
  • Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement (en)
skos:notation
  • RIV/68407700:21230/13:00208436!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP102/10/1320), P(LD12018)
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
  • 95749
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00208436
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • super-resolution; image processing; image quality metrics; subjective image quality assessment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9C2DF626BAE4]
http://linked.open...v/mistoKonaniAkce
  • Klagenfurt
http://linked.open...i/riv/mistoVydani
  • New Jersey
http://linked.open...i/riv/nazevZdroje
  • 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)
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
  • Klíma, Miloš
  • Lukeš, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000331828000014
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/QoMEX.2013.6603205
http://purl.org/ne...btex#hasPublisher
  • IEEE Signal Processing Society
https://schema.org/isbn
  • 978-1-4799-0738-0
http://localhost/t...ganizacniJednotka
  • 21230
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