Influence of High Level Features of HVS on Performance of FSIM

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00210627" target="_blank" >RIV/68407700:21230/13:00210627 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.radioeng.cz/fulltexts/2013/13_04_1048_1056.pdf" target="_blank" >http://www.radioeng.cz/fulltexts/2013/13_04_1048_1056.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Influence of High Level Features of HVS on Performance of FSIM

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Influence of High Level Features of HVS on Performance of FSIM

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Radioengineering

ISSN

1210-2512

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

1048-1055

Kód UT WoS článku

000328310300011

EID výsledku v databázi Scopus

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