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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F05%3A03111360%21RIV07-GA0-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Byla vyvinuta a do modelu implementována nová metoda pro hodnocení kvality obrazu. Model sestává ze dvou hlavních eástí, z bloku extrakce zkreslujících parametru a z umilé neuronové síti pro vyhodnocení tichto parametru. Bylo ukázáno, 3e poedlo3ený model pro hodnocení kvality obrazu mu3e dosahovat vysoké korelace s výsledky subjektivních testu. A novel method for image quality assessment was developed, implemented into a model and its performance was evaluated. The model consists of the two main parts: the impairment feature extraction block and ANN as a combiner. It was shown that the proposed image quality assessment model can achieve high correlation with the subjective ratings MOS. A novel method for image quality assessment was developed, implemented into a model and its performance was evaluated. The model consists of the two main parts: the impairment feature extraction block and ANN as a combiner. It was shown that the proposed image quality assessment model can achieve high correlation with the subjective ratings MOS.
dcterms:title
A Novel Method for Objective Image Quality Assessment using Artificial Neural Network Nová metoda pro objektivní hodnocení kvality obrazu pou3ívající umilou neuronovou síť A Novel Method for Objective Image Quality Assessment using Artificial Neural Network
skos:prefLabel
A Novel Method for Objective Image Quality Assessment using Artificial Neural Network A Novel Method for Objective Image Quality Assessment using Artificial Neural Network Nová metoda pro objektivní hodnocení kvality obrazu pou3ívající umilou neuronovou síť
skos:notation
RIV/68407700:21230/05:03111360!RIV07-GA0-21230___
n3:strany
40 ; 42
n3:aktivita
n14:P
n3:aktivity
P(GA102/05/2054), P(GD102/03/H109)
n3:dodaniDat
n19:2007
n3:domaciTvurceVysledku
n12:8983763
n3:druhVysledku
n10:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
511014
n3:idVysledku
RIV/68407700:21230/05:03111360
n3:jazykVysledku
n7:eng
n3:klicovaSlova
artificial neural networks; image compression; image quality
n3:klicoveSlovo
n11:image%20compression n11:image%20quality n11:artificial%20neural%20networks
n3:kontrolniKodProRIV
[11294162C38F]
n3:mistoKonaniAkce
Vr1ov
n3:mistoVydani
Brno
n3:nazevZdroje
Semináo o oe1ení projektu GA ER 102/03/H109 v roce 2005
n3:obor
n20:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n8:GA102%2F05%2F2054 n8:GD102%2F03%2FH109
n3:rokUplatneniVysledku
n19:2005
n3:tvurceVysledku
Fliegel, Karel
n3:typAkce
n15:CST
n3:zahajeniAkce
2005-10-07+02:00
s:numberOfPages
3
n16:hasPublisher
Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
n21:isbn
80-214-3013-3
n13:organizacniJednotka
21230