Deep Convolutional Denoising of Low-Light Images

Understand

Poisson distribution is used for modeling noise in photon-limited imaging.

• While canonical examples include relatively exotic types of sensing like spectral imaging or astronomy, the problem is relevant to regular photography now more than ever due to the booming market for mobile cameras.
• Restricted form factor limits the amount of absorbed light, thus computational post-processing is called for.
• In this paper, we make use of the powerful framework of deep convolutional neural networks for Poisson denoising.