Burst Photography for Learning to Enhance Extremely Dark Images

Understand

Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline.

• Images become too dark and too noisy, which makes traditional enhancement techniques almost impossible to apply.
• Recently, learning-based approaches have shown very promising results for this task since they have substantially more expressive capabilities to allow for improved quality.
• Motivated by these studies, in this paper, we aim to leverage burst photography to boost the performance and obtain much sharper and more accurate RGB images from extremely dark raw images.