  In this paper, we propose EveRestNet, a convolutional neural network designed
to remove blocking artifacts in videostreams using events from neuromorphic
sensors. We first degrade the video frame using a quadtree structure to produce
the blocking artifacts to simulate transmitting a video under a heavily
constrained bandwidth. Events from the neuromorphic sensor are also simulated,
but are transmitted in full. Using the distorted frames and the event stream,
EveRestNet is able to improve the image quality.
