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Image Classification in the Dark using Quanta Image Sensors
[article]
2020
arXiv
pre-print
State-of-the-art image classifiers are trained and tested using well-illuminated images. These images are typically captured by CMOS image sensors with at least tens of photons per pixel. However, in dark environments when the photon flux is low, image classification becomes difficult because the measured signal is suppressed by noise. In this paper, we present a new low-light image classification solution using Quanta Image Sensors (QIS). QIS are a new type of image sensors that possess photon
arXiv:2006.02026v3
fatcat:dqeg2h4lzra2bjvqz3ywqu5p4e