A spatio-chromatic colour appearance model for retargeting high dynamic range image appearance across viewing conditions

该项目将在新型高动态范围显示技术的背景下研究人类感知。具体来说，它将设计并验证一种新的空间色彩视觉模型，该模型将支持对新显示器上的内容如何被感知的详细分析和预测。这样的模型可以用于自动处理图像，以便在不同的方式下呈现时，它们的外观得以保留：不同的亮度水平（显示调光），不同的对比度（色调映射，环境光补偿），不同的观看条件（黑暗的电影院与明亮的客厅）。该模型还将考虑到观察者敏感度的潜在个体差异，并实现视觉系统中与年龄相关的变化的影响。为了建立这样一个模型，将从现有的来源和新的测量中收集大量的颜色外观数据集。一种新的方法将被设计出来，并用于进行新的测量，以填补数据集中信息最稀疏的“空白”。新的外观模型将通过同时训练和测试大量候选模型来创建，这些模型将使用信息标准进行过拟合测试。候选模型将进一步帮助识别现有数据集中的空白，从而指导新数据的收集。该模型将在新的应用中进行测试，例如根据用户的视觉表现（年龄自适应渲染）调整图像外观，以及调整显示亮度、对比度和环境照明（显示自适应渲染）。

This project will investigate human perception in the context of novel high dynamic range display technologies. Specifically, it will devise and validate a new model of spatial colour vision that will support detailed analysis and prediction of how content on new displays will be perceived. Such a model can then be used to automatically process images so that their appearance is preserved when presented in a significantly different manner: at different brightness levels (display dimming), at different contrast (tone-mapping, ambient light compensation), under different viewing conditions (dark cinema vs. bright living room). The model will also be able to take into account potential individual differences in observer sensitivity and implement the effect of age-related changes in the visual system.To build such a model, a large dataset of colour appearance data will be collected from both existing sources and from new measurements. A new method will be devised and used to take new measurements only to fill in the "gaps" in the dataset, where information is the sparsest. The new appearance model will be created by simultaneously training and testing a large collection of candidate models, which will be tested for overfitting using information criteria. The candidate models will further help to identify the gaps in the existing dataset and will thus direct collection of new data. The model will be tested in novel applications, such as adjustment of image appearance depending on the user's visual performance (age adaptive rendering), and adjustment for display brightness, contrast and ambient illumination (display adaptive rendering).