DeFlare-Net: Flare Detection and Removal Network

Author:

Ghodesawar Allabakash,Patil Vinod,Raichur Ankit,Adrashyappanamath Swaroop,Malagi Sampada,Akalwadi Nikhil,Desai Chaitra,Tabib Ramesh Ashok,Patil Ujwala,Mudenagudi Uma

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Asha, C., Bhat, S., Nayak, D., Bhat, C.: Auto removal of bright spot from images captured against flashing light source. In: 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., USA (2019). https://doi.org/10.1109/DISCOVER47552.2019.9007933

2. Chabert, F.: Automated lens flare removal. Technical report, ArXiv e-prints (2015). arXiv:1503.04212

3. Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), p. 10 (2018)

4. Clifford, P.: Markov random fields in statistics. Disorder in physical systems: a volume in honour of John M. Hammersley, pp. 19–32 (1990)

5. Dai, Y., Li, C., Zhou, S., Feng, R., Loy, C.C.: Flare7K: a phenomenological nighttime flare removal dataset. In: Thirty-Sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2022)

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