• Corpus ID: 238531781

How to Train Neural Networks for Flare Removal

@inproceedings{Wu2020HowTT,
  title={How to Train Neural Networks for Flare Removal},
  author={Yichen Wu and Qiurui He and Tianfan Xue and Rahul Garg and Jiawen Chen and Ashok Veeraraghavan and Jonathan T. Barron},
  year={2020}
}
  • Yichen Wu, Qiurui He, +4 authors J. Barron
  • Published 25 November 2020
  • Engineering, Computer Science
When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color bleeding, haze, etc.) and this diversity in appearance makes flare removal challenging. Existing analytical solutions make strong assumptions about the artifact’s geometry or brightness, and therefore only work well on a small subset of flares. Machine learning techniques have shown success in removing other types of… 
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