An Introduction to Super Resolution using Deep Learning

Super Resolution is the process of recovering a High Resolution (HR) image from a given Low Resolution (LR) image. An image may have a "lower resolution" due to a smaller spatial resolution (i.e. Clearly, on applying a degradation function, we obtain the LR image from the HR image. But, can we do the inverse? If we know the exact degradation function, by applying its inverse to the LR image, we can recover the HR image.