articleOct 15, 2019Closed access

Kindling the Darkness

Tianjin University

Indexed incrossref

Abstract

Images captured under low-light conditions often suffer from (partially) poor visibility. Besides unsatisfactory lightings, multiple types of degradations, such as noise and color distortion due to the limited quality of cameras, hide in the dark. In other words, solely turning up the brightness of dark regions will inevitably amplify hidden artifacts. This work builds a simple yet effective network for Kindling the Darkness (denoted as KinD), which, inspired by Retinex theory, decomposes images into two components. One component (illumination) is responsible for light adjustment, while the other (reflectance) for degradation removal. In such a way, the original space is decoupled into two smaller subspaces,…

Citation impact

1,372
total citations
FWCI
36.03
Percentile
100%
References
29
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Computer vision
  • Artificial intelligence
  • Brightness
  • Distortion (music)
  • Visibility
  • Color constancy
  • Ground truth
No related works found for this paper.