The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. However, despite the fact that optical quality has an impact on the performance of computer vision in vehicle automation, for many public datasets, this metric is unknown. Additionally, wide field-of-view (FOV) cameras have become increasingly popular, particularly for low-speed vehicle automation applications. To investigate image quality in datasets, this paper proposes an adaptation of the Natural Scenes Spatial Frequency Response (NS-SFR) algorithm to suit cameras with a wide field-of-view.

翻译：调制传递函数（MTF）是汽车领域常用的重要图像质量指标。然而，尽管光学质量影响车辆自动化中计算机视觉的性能，但许多公开数据集的该指标未知。此外，广角视野（FOV）相机日益普及，尤其在低速车辆自动化应用中。为探究数据集中的图像质量，本文提出一种适用于广角视野相机的自然场景空间频率响应（NS-SFR）算法的改进方案。