Optimal biasing and physical limits of DVS event noise
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Date
2023
Publication Type
Conference Paper
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yes
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Abstract
Under dim lighting conditions, the output of Dynamic Vision Sensor (DVS) event cameras is strongly affected by noise. Photon and electron shot-noise cause a high rate of non-informative events that reduce Signal to Noise ratio. DVS noise performance depends not only on the scene illumination, but also on the user-controllable biasing of the camera. In this paper, we explore the physical limits of DVS noise, showing that the DVS photoreceptor is limited to a theoretical minimum of 2x photon shot noise, and we discuss how biasing the DVS with high photoreceptor bias and adequate source-follower bias approaches optimal noise performance. We support our conclusions with pixel-level measurements of a DAVIS346 and analysis of a theoretical pixel model.
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published
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Publisher
International Image Sensor Society
Event
37th International Image Sensor Workshop (IISW 2023)
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Subject
Systems and Control (eess.SY); FOS: Electrical engineering, electronic engineering, information engineering
Organisational unit
08836 - Delbrück, Tobias (Tit.-Prof.)
Notes
Poster presentation P05. Submitted version can be found here: https://doi.org/10.48550/ARXIV.2304.04019
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Related publications and datasets
Is part of: https://imagesensors.org/2023-papers/Documents: 10.48550/ARXIV.2304.04019