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Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging

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arxiv 2404.11511 v2 pith:V5FBYOEI submitted 2024-04-17 eess.IV cs.CV

classification eess.IVcs.CV
keywords cameraseventhigh-speedlow-lightbandwidthconventionalimagingsensor
verification ladder T0 review T1 audit T2 compute T3 formal
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Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter exposures result in Poisson-corrupted noisy images. While burst photography techniques help mitigate this tradeoff, conventional cameras are fundamentally limited in their sensor noise characteristics. Event cameras and single-photon avalanche diode (SPAD) sensors have emerged as promising alternatives to conventional cameras due to their desirable properties. SPADs are capable of single-photon sensitivity with microsecond temporal resolution, and event cameras can measure brightness changes up to 1 MHz with low bandwidth requirements. We show that these properties are complementary, and can help achieve low-light, high-speed image reconstruction with low bandwidth requirements. We introduce a sensor fusion framework to combine SPADs with event cameras to improves the reconstruction of high-speed, low-light scenes while reducing the high bandwidth cost associated with using every SPAD frame. Our evaluation, on both synthetic and real sensor data, demonstrates significant enhancements ( > 5 dB PSNR) in reconstructing low-light scenes at high temporal resolution (100 kHz) compared to conventional cameras. Event-SPAD fusion shows great promise for real-world applications, such as robotics or medical imaging.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media

    cs.NE 2025-01 conditional novelty 5.0 of 10

    An event camera plus a two-module spiking neural network tracks and reconstructs MNIST and Kanji characters hidden behind strongly scattering media in benchtop experiments.

  2. Event fields: Capturing light fields at high speed, resolution, and dynamic range

    cs.CV 2024-12 conditional novelty 5.0 of 10

    Events from scanning mirrors or kaleidoscopes can be used to reconstruct light fields at high speed, enabling post-capture refocusing and depth estimation.

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