• Corpus ID: 251468304

Continuous Exposure for Extreme Low-Light Imaging

  title={Continuous Exposure for Extreme Low-Light Imaging},
  author={Evgeny Hershkovitch Neiterman and Michael Klyuchka and Gil Ben-Artzi},
We consider the problem of enhancing an underexposed dark image captured in a very low-light environment where details cannot be detected. Existing methods learn to adjust the input image’s exposure to a predetermined value. In practice, however, the optimal enhanced exposure varies from one input image to another, and as a result, the enhanced images may contain visual artifacts such as low-contrast or dark areas. We address this limitation by intro-ducing a deep learning model that allows the… 



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