Turbulence mitigation in neuromorphic camera imagery

Nicolas Boehrer; Robert P. J. Nieuwenhuizen; Judith Dijk

doi:10.1117/12.2573464

20 September 2020 Turbulence mitigation in neuromorphic camera imagery

Nicolas Boehrer, Robert P. J. Nieuwenhuizen, Judith Dijk

Proceedings Volume 11540, Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III; 115400G (2020) https://doi.org/10.1117/12.2573464
Event: SPIE Security + Defence, 2020, Online Only

Abstract

Long range horizontal path imaging through atmospheric turbulence is hampered by spatiotemporally randomly varying shifting and blurring of scene points in recorded imagery. Although existing software based mitigation strategies can produce sharp and stable imagery of static scenes, it remains highly challenging to mitigate turbulence in scenes with moving objects such that they remain visible as moving objects in the output. In our work we investigate if and how neuromorphic cameras can be used for this challenge. We explore how the high temporal resolution of the event stream can be used to distinguish between the apparent motion due to turbulence and the actual motion of physical objects in the scene. We use this to propose an algorithm to reconstruct output image sequences where the static background of the scene is mitigated for turbulence, while preserving the moving objects in the scene. The algorithm is demonstrated on indoor experimental recordings of moving objects imaged through artificially generated turbulence.

Conference Presentation

Citation Download Citation

Nicolas Boehrer, Robert P. J. Nieuwenhuizen, and Judith Dijk "Turbulence mitigation in neuromorphic camera imagery", Proc. SPIE 11540, Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III, 115400G (20 September 2020); https://doi.org/10.1117/12.2573464

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