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

Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong Seok Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)3817-3827
Number of pages11
JournalIEEE Transactions on Multimedia
Publication statusPublished - 2021

Bibliographical note

Funding Information:
This research was supported by the MSIT (Ministry of Science, and ICT), Korea, under the ICT Consilience Creative Program (IITP-2019-2017-0-01015) supervised by the IITP (Institute for Information and communications Technology Promotion), the InternationalResearch & Development Program of the National Research Foundation of Korea (NRF) funded by theKorea government (MSIT) (NRF-2016K1A3A1A21005710), and the Science and Technology Amicable Research (STAR) Program funded by the Partenariats Hubert Curien (PHC) and the Campus France (PHC-STAR 36664WK). The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Xiaoqing Zhu.

Publisher Copyright:
© 1999-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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