Task-, viewer- and degradation-specific image quality assessment

对于任何以向观众准确传达视觉信息为最终目标的显示系统来说，图像质量和可见性是必须确保的关键性能指标。这在大多数可视应用中是必不可少的，但在安全关键显示系统中尤其突出，例如汽车行业中的那些系统，其中关键信息必须通过车辆的仪表组和仪表盘来传达。显示面板的感知图像质量可能会以多种方式降级。例如，在汽车中，导航显示器可能会被车外的光线照射到它身上而降级，导致令人讨厌的反射。或者，由于振动或您的孩子添加了一层草莓酱，显示屏可能会变得模糊。一些观众可能比其他观众更多或更少地受到特定类型的退化的影响(例如，由于年龄相关的视力缺陷或不同水平的驾驶经验)，并且对特定退化的敏感度可能取决于用户正在执行的相对于显示器的任务(例如，他们是在读取速度计还是从导航显示器获取方向)。这个项目旨在开发测量感知图像质量的方法，即特定于任务、特定于观众和特定于降级。这些技术将是现有的、更通用的方法的扩展，并将使用现代机器学习方法。工业合作伙伴佛吉亚IRYStec公司将利用该项目的成果来改进他们的感知显示平台，该平台为商业显示系统，特别是汽车行业的显示系统提供特定于观众和特定任务的显示增强。

For any display system with the ultimate goal of accurately communicating visual information to its viewer, image quality and visibility are key performance metrics that must be assured. This is imperative in most visual applications, but especially prominent in safety critical display systems, for instance such as those found in the automotive industry, where crucial information must be conveyed through the instrumentation clusters and dashboards of vehicles. The perceived image quality of a display panel can be degraded in many ways. For example, in an automobile, the navigation display can be degraded by light from outside the car shining onto it, causing bothersome reflections. Or the display could appear blurred due to vibration or a layer of strawberry jam added by your children. Some viewers may be affected more or less than other viewers by a particular type of degradation (e.g. due to age-related visual deficits or varying levels of driving experience), and the sensitivity to a particular degradation may depend on the task that a user is carrying out relative to the display (e.g. whether they are reading the speedometer or getting directions from the navigation display). This project aims to develop methods to measure perceptual image quality, that are task-, viewer- and degradation-specific. These techniques will be extensions of existing, more generic, methods and will employ modern machine learning approaches. The industrial partner, Faurecia IRYStec Inc., will use the results of the project in improving their Perceptual Display Platform, which provides viewer- and task-specific display enhancements for commercial display systems, particularly those found in the automotive industry.