The most important parts for using neural network’s for super resolution are data, network architecture and the objective functions. In this talk we will discuss our innovation in network architecture to make our algorithms running real time on mobile devices as well as how we achieved a new level of perceived qualities for super resolved images by redefining the object functions. Finally we will close the talk by showing what’s the best practice when extending image super resolution techniques to videos.