Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

In this paper, we propose a novel framework to characterize a wide color gamut image content based on perceived quality due to the processes that change color gamut, and demonstrate two practical use cases where the framework can be applied. We first introduce the main framework and implementation d...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2021, Vol.23, p.3817-3827
Main Authors: Lee, Junghyuk, Vigier, Toinon, Le Callet, Patrick, Lee, Jong-Seok
Format: Article
Language:English
Subjects:
Color
color gamut mapping
Computer Science
content characterization
content selection
Criteria
Image color analysis
Image Processing
Image quality
Measurement
Multimedia
Quality of experience
Reliability analysis
Toy manufacturing industry
Visualization
Wide color gamut
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Summary:In this paper, we propose a novel framework to characterize a wide color gamut image content based on perceived quality due to the processes that change color gamut, and demonstrate two practical use cases where the framework can be applied. We first introduce the main framework and implementation details. Then, we provide analysis for understanding of existing wide color gamut datasets with quantitative characterization criteria on their characteristics, where four criteria, i.e., coverage, total coverage, uniformity, and total uniformity, are proposed. Finally, the framework is applied to content selection in a gamut mapping evaluation scenario in order to enhance reliability and robustness of the evaluation results. As a result, the framework fulfils content characterization for studies where quality of experience of wide color gamut stimuli is involved.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2020.3032026