Abstract

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.

Original languageEnglish
Article number109
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Volume36
Issue number17
DOIs
Publication statusPublished - 2024
EventIS and T International Symposium on Electronic Imaging 2024: Autonomous Vehicles and Machines, AVM 2024 - San Francisco, United States
Duration: 21 Jan 202425 Jan 2024

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