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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F11%3A00183464%21RIV12-MSM-21230___
rdf:type
skos:Concept n8:Vysledek
rdfs:seeAlso
http://www.iccst2011.com/
dcterms:description
Demosaicing approach based upon ROI analysis. The question of if only the quality of areas where human gazes are crucial for quality of identification is solved. Two FDMs were constructed on the basis of the ground through visual attention data. Two security scenes containing traffic signs were used as testing images. SSIM and VIF with subjective testing were used for evaluation of reconstruction quality. The results tackle the questions - if quality of identification mainly depends on the quality of the areas where human eye is attracted, areas of interest, and whether the quality of the remaining part of image perceived by peripheral vision is crucial for quality of identification. Furthermore, the results show that embedding the information relating to these visual fixation patterns into demosaicing procedure can preserve the perceived image quality and quality of identification, while the computational complexity of proposed approach can be low. Demosaicing approach based upon ROI analysis. The question of if only the quality of areas where human gazes are crucial for quality of identification is solved. Two FDMs were constructed on the basis of the ground through visual attention data. Two security scenes containing traffic signs were used as testing images. SSIM and VIF with subjective testing were used for evaluation of reconstruction quality. The results tackle the questions - if quality of identification mainly depends on the quality of the areas where human eye is attracted, areas of interest, and whether the quality of the remaining part of image perceived by peripheral vision is crucial for quality of identification. Furthermore, the results show that embedding the information relating to these visual fixation patterns into demosaicing procedure can preserve the perceived image quality and quality of identification, while the computational complexity of proposed approach can be low.
dcterms:title
Locally Adaptive Demosaicing Technique for Security Images Based upon Region-of-Interest Analysis Locally Adaptive Demosaicing Technique for Security Images Based upon Region-of-Interest Analysis
skos:prefLabel
Locally Adaptive Demosaicing Technique for Security Images Based upon Region-of-Interest Analysis Locally Adaptive Demosaicing Technique for Security Images Based upon Region-of-Interest Analysis
skos:notation
RIV/68407700:21230/11:00183464!RIV12-MSM-21230___
n8:predkladatel
n9:orjk%3A21230
n3:aktivita
n11:Z n11:S
n3:aktivity
S, Z(MSM6840770014)
n3:dodaniDat
n13:2012
n3:domaciTvurceVysledku
n16:6735738 n16:9596755
n3:druhVysledku
n19:D
n3:duvernostUdaju
n23:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
209812
n3:idVysledku
RIV/68407700:21230/11:00183464
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Demosaicing, Bayer pattern, CFA, visual attention, saliency regions, fixation density map, image segmentation
n3:klicoveSlovo
n4:Demosaicing n4:visual%20attention n4:CFA n4:fixation%20density%20map n4:image%20segmentation n4:saliency%20regions n4:Bayer%20pattern
n3:kontrolniKodProRIV
[63B4987BA383]
n3:mistoKonaniAkce
Barcelona
n3:mistoVydani
Piscataway
n3:nazevZdroje
Proceedings 45th International Carnahan Conference on Security Technology
n3:obor
n22:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n13:2011
n3:tvurceVysledku
Dostál, Petr Klíma, Miloš
n3:typAkce
n7:WRD
n3:wos
000298252300030
n3:zahajeniAkce
2011-10-18+02:00
n3:zamer
n20:MSM6840770014
s:issn
1071-6572
s:numberOfPages
10
n21:hasPublisher
IEEE
n14:isbn
978-1-4577-0902-9
n17:organizacniJednotka
21230