FFTMI: Features Fusion for Natural Tone-Mapped Images Quality Evaluation

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
FFTMI: Features Fusion for Natural Tone-Mapped Images Quality Evaluation
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering

Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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