Image denoising is an important image processing task that experienced significant advancement, made possible by the progress in the development of convolutional neural networks and deep learning techniques.
These techniques are based on learning clean images features during a training process over large datasets of clean images.
In the paper Deep Image Prior it has been established that convolutional neural networks are inherently good at generating natural looking images and can be used for images restoration tasks without observing examples of clean images.
The goal of the project is utilizing this approach for the task of image denoising for burst imaging, without prior training on clean images.