About: Influence of High Level Features of HVS on Performance of FSIM

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Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.radioeng.cz/fulltexts/2013/13_04_1048_1056.pdf
Description	In this paper the influence of information about high level features of Human Visual System (HVS) on objective quality assessment is studied. This was done by extending the existing full-reference objective image quality metric - FSIM - where the different importance of certain areas of image is considered using Phase Congruency (PC) algorithm. Here, the estimation of Region of Interest (ROI) based on this algorithm is complemented by Fixation Density Maps (FDM) containing the information about high level features of HVS. Use of another low level features based algorithm (Phase Spectrum of Fourier Transform) was also considered and compared to the PC algorithm. The performance was evaluated qualitatively on images reconstructed according to ROI and quantitatively on images from LIVE database. The correlation between subjective and objective tests was calculated using Pearson's Correlation Coefficient and Spearman's Rank Order Coefficient. The statistical significance of the difference between correlation coefficients was assessed by Fisher r-to-z transformation. The performance of the metric was also compared to other state-of-the-art image quality metrics (SSIM, MS-SSIM, and FSIM). In this paper the influence of information about high level features of Human Visual System (HVS) on objective quality assessment is studied. This was done by extending the existing full-reference objective image quality metric - FSIM - where the different importance of certain areas of image is considered using Phase Congruency (PC) algorithm. Here, the estimation of Region of Interest (ROI) based on this algorithm is complemented by Fixation Density Maps (FDM) containing the information about high level features of HVS. Use of another low level features based algorithm (Phase Spectrum of Fourier Transform) was also considered and compared to the PC algorithm. The performance was evaluated qualitatively on images reconstructed according to ROI and quantitatively on images from LIVE database. The correlation between subjective and objective tests was calculated using Pearson's Correlation Coefficient and Spearman's Rank Order Coefficient. The statistical significance of the difference between correlation coefficients was assessed by Fisher r-to-z transformation. The performance of the metric was also compared to other state-of-the-art image quality metrics (SSIM, MS-SSIM, and FSIM). (en)
Title	Influence of High Level Features of HVS on Performance of FSIM Influence of High Level Features of HVS on Performance of FSIM (en)
skos:prefLabel	Influence of High Level Features of HVS on Performance of FSIM Influence of High Level Features of HVS on Performance of FSIM (en)
skos:notation	RIV/68407700:21230/13:00210627!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP102/10/1320), P(LD12018)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Dostál, Petr Klíma, Miloš Krasula, Lukáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	79790
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00210627
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Human visual system; image quality assessment; high level features; FSIM (en)
http://linked.open.../riv/klicoveSlovo	FSIM high level features image quality assessment Human visual system
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[D23E96947F63]
http://linked.open...i/riv/nazevZdroje	Radioengineering
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Research and modeling of advanced methods of image quality evaluation Modeling and verification of methods for Quality of Experience (QoE) assessment in multimedia systems (MOVERIQ)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	22
http://linked.open...iv/tvurceVysledku	Dostál, Petr Klíma, Miloš Krasula, Lukáš
http://linked.open...ain/vavai/riv/wos	000328310300011
issn	1210-2512
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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