  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.
