Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

@article{Liu2019LearningAT,
  title={Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond},
  author={R. Liu and Xin Fan and Minjun Hou and Zhiying Jiang and Zhongxuan Luo and L. Zhang},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2019},
  volume={30},
  pages={2973-2986}
}
  • R. Liu, Xin Fan, +3 authors L. Zhang
  • Published 2019
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks and Learning Systems
Single-image dehazing is an important low-level vision task with many applications. Early studies have investigated different kinds of visual priors to address this problem. However, they may fail when their assumptions are not valid on specific images. Recent deep networks also achieve a relatively good performance in this task. But unfortunately, due to the disappreciation of rich physical rules in hazes, a large amount of data are required for their training. More importantly, they may still… Expand
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