Adobe brings Superresolution to Photoshop

Super-resolution is a technology that adds more detail to an image in post-processing than is originally available in digital form. Simply put, they are methods that increase the resolution of an image and do more than just interpolate between known pixels to get the "more pixels". A super-resolution (SR) application must therefore coherently add details.

With the advent of Deep Learning, superresolution has received a real boost, as AI algorithms are very good at recognising and adding to objects. For example, if an AI has seen millions of eyes from different angles and in diverse lighting situations, it can then add learned details to each eye in an image. However, this is just as true for branches, cars or fur structures. The "art" of creating a good super-resolution algorithm consists primarily of huge collections of photos with which to train the algorithm. And since Adobe has access to huge stock footage mountains, in our eyes a Super Resolution solution has been due for a long time.