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.
翻译:在本文中,我们提出了一个新的框架,以根据改变全色的过程而导致的感知质量来描述一个广泛的彩色全方位图像内容,并展示两个可以适用框架的实际使用案例。我们首先介绍主要框架和实施细节。然后,我们提供分析,以了解现有的大彩色全方位数据集及其特征的定量定性标准,其中提出了四个标准,即覆盖面、总覆盖面、统一性和完全统一性。最后,框架适用于在全色绘图评估情景中选择内容,以提高评价结果的可靠性和稳健性。因此,框架满足了涉及大彩色全色模拟经验质量的研究内容特征。