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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00158454%21RIV10-MSM-21230___
rdf:type
n19:Vysledek skos:Concept
dcterms:description
The image and video sensing and processing systems are of high importance nowadays. The crucial parameter is image quality as a part of QoS or more recently QoE (Quality of Experience) as a subjective impact (perception). This invited paper deals with various qualitative aspects in imaging systems. The first part is devoted to the modeling of HVS and image quality evaluation. A model for prediction of perceived quality of degraded images is presented. This model is optimized while incorporating visual attention coordinates. In the following parts four different examples of qualitative impacts (distortions and artifacts) of image postprocessing are listed and shown. The first one is the image enhancement, second one image restoration by iterative detectors based on the maximum a posteriori probability criterion, third one image interpolation and finally fourth one image compression and transmission. The image and video sensing and processing systems are of high importance nowadays. The crucial parameter is image quality as a part of QoS or more recently QoE (Quality of Experience) as a subjective impact (perception). This invited paper deals with various qualitative aspects in imaging systems. The first part is devoted to the modeling of HVS and image quality evaluation. A model for prediction of perceived quality of degraded images is presented. This model is optimized while incorporating visual attention coordinates. In the following parts four different examples of qualitative impacts (distortions and artifacts) of image postprocessing are listed and shown. The first one is the image enhancement, second one image restoration by iterative detectors based on the maximum a posteriori probability criterion, third one image interpolation and finally fourth one image compression and transmission.
dcterms:title
Image Quality and QoE in Multimedia Systems Image Quality and QoE in Multimedia Systems
skos:prefLabel
Image Quality and QoE in Multimedia Systems Image Quality and QoE in Multimedia Systems
skos:notation
RIV/68407700:21230/09:00158454!RIV10-MSM-21230___
n5:aktivita
n15:Z
n5:aktivity
Z(MSM6840770014)
n5:dodaniDat
n13:2010
n5:domaciTvurceVysledku
n7:1605046 n7:8983763 n7:1739034 n7:9596755 n7:6735738
n5:druhVysledku
n10:D
n5:duvernostUdaju
n18:S
n5:entitaPredkladatele
n20:predkladatel
n5:idSjednocenehoVysledku
318520
n5:idVysledku
RIV/68407700:21230/09:00158454
n5:jazykVysledku
n9:eng
n5:klicovaSlova
Image Quality; QoE; Human visual system models
n5:klicoveSlovo
n8:QoE n8:Image%20Quality n8:Human%20visual%20system%20models
n5:kontrolniKodProRIV
[A30A97E6DD40]
n5:mistoKonaniAkce
Bratislava
n5:mistoVydani
Bratislava
n5:nazevZdroje
Proceedings of 19th International Conference Radioelektronika 2009
n5:obor
n17:JA
n5:pocetDomacichTvurcuVysledku
5
n5:pocetTvurcuVysledku
5
n5:rokUplatneniVysledku
n13:2009
n5:tvurceVysledku
Podgorný, Radek Klíma, Miloš Kekrt, Daniel Fliegel, Karel Dostál, Petr
n5:typAkce
n11:WRD
n5:wos
000272202900001
n5:zahajeniAkce
2009-04-22+02:00
n5:zamer
n14:MSM6840770014
s:numberOfPages
8
n21:hasPublisher
Slovenská technická univerzita v Bratislave. Fakulta elektrotechniky a informatiky
n4:isbn
978-80-214-3865-1
n16:organizacniJednotka
21230