FFTMI: Features Fusion for Natural Tone-Mapped Images Quality Evaluation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00335086" target="_blank" >RIV/68407700:21230/20:00335086 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/TMM.2019.2952256" target="_blank" >https://doi.org/10.1109/TMM.2019.2952256</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TMM.2019.2952256" target="_blank" >10.1109/TMM.2019.2952256</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
FFTMI: Features Fusion for Natural Tone-Mapped Images Quality Evaluation
Popis výsledku v původním jazyce
Tone-mapping is a crucial step in the task towards displaying high dynamic range (HDR) images on standard displays. Given the number of possible ways to tone-map such images, a development of an objective quality criterion, enabling selection of the most suitable tone-mapping operator (TMO) and setting its parameters in order to maximize the quality of the reproduction, is of high interest. In this paper, a new objective metric for natural tone-mapped images is proposed. It is based on fusion of several perceptually relevant features that have been carefully selected using an appropriate feature selection procedure. The outcome of the selection also provides a valuable insight into the importance of particular perceptual aspects when judging the quality of tone-mapped HDR content. The performance of the resulting features combination is thoroughly evaluated with respect to three publicly available databases and compared to several relevant state-of-the-art criteria. The proposed approach is shown to significantly outperform the tested metrics and can therefore be considered a competitive alternative for tone-mapped images evaluation.
Název v anglickém jazyce
FFTMI: Features Fusion for Natural Tone-Mapped Images Quality Evaluation
Popis výsledku anglicky
Tone-mapping is a crucial step in the task towards displaying high dynamic range (HDR) images on standard displays. Given the number of possible ways to tone-map such images, a development of an objective quality criterion, enabling selection of the most suitable tone-mapping operator (TMO) and setting its parameters in order to maximize the quality of the reproduction, is of high interest. In this paper, a new objective metric for natural tone-mapped images is proposed. It is based on fusion of several perceptually relevant features that have been carefully selected using an appropriate feature selection procedure. The outcome of the selection also provides a valuable insight into the importance of particular perceptual aspects when judging the quality of tone-mapped HDR content. The performance of the resulting features combination is thoroughly evaluated with respect to three publicly available databases and compared to several relevant state-of-the-art criteria. The proposed approach is shown to significantly outperform the tested metrics and can therefore be considered a competitive alternative for tone-mapped images evaluation.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-05840S" target="_blank" >GA17-05840S: Multikriteriální optimalizace modelů prostorově variantních zobrazovacích systémů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Transactions on Multimedia
ISSN
1520-9210
e-ISSN
1941-0077
Svazek periodika
22
Číslo periodika v rámci svazku
8
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
2038-2047
Kód UT WoS článku
000553424500010
EID výsledku v databázi Scopus
2-s2.0-85089343758