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.

中文翻译：

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广色域图像内容表征：方法，评估和应用

在本文中，我们提出了一种新颖的框架，该框架基于改变色域的过程可感知的质量来表征宽色域图像的内容，并演示了可以应用该框架的两个实际使用案例。我们首先介绍主要框架和实现细节。然后，我们提供分析以了解现有的广色域数据集，并在其特征上采用定量表征标准，其中提出了四个标准，即覆盖率，总覆盖率，均匀性和总均匀性。最后，将该框架应用于色域映射评估方案中的内容选择，以增强评估结果的可靠性和鲁棒性。结果是，