Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement

@article{Ma2021LearningDC,
  title={Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement},
  author={Long Ma and Risheng Liu and Jiaao Zhang and Xin Fan and Zhongxuan Luo},
  journal={IEEE transactions on neural networks and learning systems},
  year={2021},
  volume={PP}
}
Enhancing the quality of low-light (LOL) images plays a very important role in many image processing and multimedia applications. In recent years, a variety of deep learning techniques have been developed to address this challenging task. A typical framework is to simultaneously estimate the illumination and reflectance, but they disregard the scene-level contextual information encapsulated in feature spaces, causing many unfavorable outcomes, e.g., details loss, color unsaturation, and… 

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