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 language | English (Ireland) |
|---|---|
| Article number | 109 |
| Journal | arXiv preprint arXiv:2401.05232 |
| Volume | 36 |
| Issue number | 17 |
| Publication status | Published - 1 Jan 2024 |
| Event | IS and T International Symposium on Electronic Imaging 2024: Autonomous Vehicles and Machines, AVM 2024 - San Francisco, United States Duration: 21 Jan 2024 → 25 Jan 2024 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Daniel Jakab and Eoin Martino Grua and Brian Micheal Deegan and Anthony Scanlan and Pepijn Van De Ven and Ciarán Eising