Neural networks to remove image flare

Neural networks to remove image flare

How to Train Neural Networks for Flare Removal

arXiv paper abstract https://arxiv.org/abs/2011.12485

arXiv PDF paper https://arxiv.org/pdf/2011.12485.pdf

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 ... makes flare removal challenging.

Existing ... solutions make strong assumptions about the artifact's geometry or brightness, and therefore only work well on a small subset of flares.

Machine learning ... not been widely applied to flare removal due to the lack of training data.

... model ... causes of flare either empirically or using wave optics, and generate semi-synthetic pairs of flare-corrupted and clean images. ... to train neural networks to remove lens flare

... models trained with our technique generalize well to real lens flares across different scenes, lighting conditions, and cameras.

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