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

对于任何以准确传达视觉信息为最终目标的显示系统，图像质量和可见性是必须确保的关键性能指标。这在大多数视觉应用中是必要的，但在安全关键显示系统中尤其突出，例如在汽车行业中，关键信息必须通过车辆的仪表组和仪表板传达。显示面板的感知图像质量可以通过多种方式降低。例如，在汽车中，导航显示器可能会因汽车外部的光线照射而退化，从而产生令人烦恼的反射。或者显示器可能会因震动或孩子添加的一层草莓酱而变得模糊。某些观众可能比其他观众更容易或更容易受到特定类型的退化的影响（例如，由于与年龄有关的视觉缺陷或不同水平的驾驶经验），而对特定退化的敏感性可能取决于用户正在执行的任务相对于显示器（例如，他们是否正在读取速度计或从导航显示器获取方向）。该项目旨在开发测量感知图像质量的方法，这些方法是针对任务、观看者和降级的。这些技术将是现有的、更通用的方法的扩展，并将采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改进其感知显示平台，该平台为商业显示系统，特别是汽车行业的显示系统，提供特定于观看者和任务的显示增强功能。

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.