Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Multimedia Année : 2021

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

Résumé

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.
Fichier principal
Vignette du fichier
2101.07451.pdf (2.55 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03205745 , version 1 (22-04-2021)

Identifiants

Citer

Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee. Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. IEEE Transactions on Multimedia, inPress, ⟨10.1109/TMM.2020.3032026⟩. ⟨hal-03205745⟩
64 Consultations
78 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More