Deep learning based super resolution, without using a GAN

This article describes the techniques and training a deep learning model for image improvement, image restoration, inpainting and super resolution. This utilises many techniques taught in the Fastai course and makes use of the Fastai software library. This method of training a model is based upon methods and research by very talented AI researchers, I've credited them where I have been able to in the information and techniques. As far as I'm aware some of the techniques I've applied with the training data are unique at this point with these learning methods (as of February 2019) and only a handful of researchers are using all these techniques together, who will mostly are likely to be Fastai researchers/students. Super resolution is the process of upscaling and or improving the details within an image. Often a low resolution image is taken as an input and the same image is upscaled to a higher resolution, which is the output.