[dimatura]

That's an interesting article, and relevant in the sense that the "magic kernel" can be used for purposes of super-resolution, but Adobe is using a fairly different approach. Instead of using analytically-derived functions Adobe is using a deep learning model trained on a large dataset of Low resolution-High resolution image pairs. The details are propietary, obviously, but it's likely similar to various deep learning superresolution algorithms in the academic literature. (Some more info here https://blog.adobe.com/en/publish/2021/03/10/from-the-acr-te...)

[NoPicklez]

This sounds like how nvidia have implemented Deep Learning Super Sampling (DLSS) into computer graphics cards for gaming. Allowing people to run at higher resolutions (e.g. 4k) and in some cases the image looks better than native.