The pursuit and desire to be able to make low-resolution images more detailed and of a higher resolution has been around for several decades. Super-resolution is a collection of techniques that are used to convert low-resolution images into very high-resolution images and is one of the most exciting fields of work for image processing engineers and researchers. Several approaches and methods have been built to achieve super-resolution of images, and they have all had varying levels of success toward their goal. However, in recent times, with the development of SRGANs, there has been a significant improvement regarding the amount of super-resolution that can be possible using any low-resolution image.
But before we discuss SRGANs, let's learn about some concepts related to image super-resolution. ...
