Single image reflection removal via learning with multi-image constraints

Understand

Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass.

• The problem of removing reflection artifacts is important but challenging due to its ill-posed nature.
• The traditional approaches solve an optimization problem over the constraints induced from multiple images, at the expense of large computation costs.
• Recent learning-based approaches have demonstrated a significant improvement in both performance and running time for single image reflection removal, but are limited as they require a large number of synthetic reflection/clean image pairs for direct supervision to approximate the ground truth, at the risk of overfitting in the synthetic image domain and degrading in the real image domain.