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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A03132678%21RIV08-GA0-21230___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
A model for perceptual assessment of image quality in multimedia technology is presented in this paper. The model exploits properties of the human visual system (HVS) while utilizing steerable pyramidal decomposition. Image distortion features are based on Jeffrey divergence (JD) as a metric between probability distributions of original and distorted image signal values in each subband of steerable pyramid. Mean square error (MSE) is also computed. Data preprocessing using mutual information (MI) approach has been used to get a smaller set of objective distortion features describing the perceived image quality with reasonable precision. The impairment feature vector is processed by the radial basis function (RBF) artificial neural network (ANN) to allow simple adaptation of the model in respect to the required mode of operation, fidelity or impressiveness based. The presented system mimics an assessment process with human subjects. A model for perceptual assessment of image quality in multimedia technology is presented in this paper. The model exploits properties of the human visual system (HVS) while utilizing steerable pyramidal decomposition. Image distortion features are based on Jeffrey divergence (JD) as a metric between probability distributions of original and distorted image signal values in each subband of steerable pyramid. Mean square error (MSE) is also computed. Data preprocessing using mutual information (MI) approach has been used to get a smaller set of objective distortion features describing the perceived image quality with reasonable precision. The impairment feature vector is processed by the radial basis function (RBF) artificial neural network (ANN) to allow simple adaptation of the model in respect to the required mode of operation, fidelity or impressiveness based. The presented system mimics an assessment process with human subjects. V článku je popsán perceptuální model pro hodnocení obrazové kvality v multimediální technice.
dcterms:title
Perceptuální hodnocení obrazové kvality v multimediální technice Perceptual Assessment of Image Quality in Multimedia Technology Perceptual Assessment of Image Quality in Multimedia Technology
skos:prefLabel
Perceptual Assessment of Image Quality in Multimedia Technology Perceptual Assessment of Image Quality in Multimedia Technology Perceptuální hodnocení obrazové kvality v multimediální technice
skos:notation
RIV/68407700:21230/07:03132678!RIV08-GA0-21230___
n4:strany
670008-01;670008-08
n4:aktivita
n13:P n13:Z
n4:aktivity
P(GA102/05/2054), Z(MSM6840770014)
n4:dodaniDat
n15:2008
n4:domaciTvurceVysledku
n8:8983763
n4:druhVysledku
n5:D
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
440953
n4:idVysledku
RIV/68407700:21230/07:03132678
n4:jazykVysledku
n20:eng
n4:klicovaSlova
artificial neural networks; image compression; image processing; image quality; multimedia technology
n4:klicoveSlovo
n11:image%20compression n11:artificial%20neural%20networks n11:image%20quality n11:multimedia%20technology n11:image%20processing
n4:kontrolniKodProRIV
[B9538781EEDF]
n4:mistoKonaniAkce
San Diego
n4:mistoVydani
Bellingham
n4:nazevZdroje
Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications
n4:obor
n22:JA
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n10:GA102%2F05%2F2054
n4:rokUplatneniVysledku
n15:2007
n4:tvurceVysledku
Fliegel, Karel
n4:typAkce
n18:WRD
n4:zahajeniAkce
2007-08-26+02:00
n4:zamer
n19:MSM6840770014
s:numberOfPages
8
n7:hasPublisher
SPIE
n6:isbn
978-0-8194-6848-2
n14:organizacniJednotka
21230