The sensitivity of the human eye affects the quality of images perceived by it. This paper presents an approach to optimize the polarized image stimulus. We investigated the macular perception of polarized images with the help of a theoretically derived spatiotemporal function which maximizes the observer’s polarized image visibility. The spatiotemporal function combines a temporal mathematical flicker model with spatial frequency domain analysis and Stokes vector-derived polarized viewing patterns. This enables spatiotemporal function mapping of polarization sensitivity of the human eye. The proposed model was experimentally validated on a group of volunteers by performing polarization perception tests based on images created using the mathematical model. Thus, this study introduces a simple polarization-based self-diagnosis test using polarization perception in the human eye, which helps detect macular degeneration.

人眼的敏感度会影响其感知的图像质量。本文提出了一种优化偏振图像刺激的方法。我们借助理论上导出的时空函数研究了偏振图像的黄斑部感知，该函数最大限度地提高了观察者的偏振图像可见度。时空函数将时间数学闪烁模型与空间频域分析和斯托克斯矢量导出的偏振观看模式相结合。这实现了人眼偏振敏感度的时空函数映射。通过基于使用数学模型创建的图像执行偏振感知测试，在一组志愿者身上对所提出的模型进行了实验验证。因此，