You linked to an actual imaging technique called super-resolution imaging which is for imaging. It's a technique applied to the capture of an image, and cannot

You linked to an actual imaging technique called super-resolution imaging which is for imaging. It's a technique applied to the capture of an image, and cannot be applied to an already captured image. Machine learning super resolution adds detail to image that does not exist, in the same way that image inpainting (or even outpainting) do. https://arstechnica.com/information-technology/2017/02/google-brain-super-resolution-zoom-enhance/ https://arstechnica.com/information-technology/2017/02/googl... "It's important to note that the computed super-resolution image is not real. The added details—known as "hallucinations" in image processing jargon—are a best guess and nothing more." If you go and research the literature on deep learning super resolution techniques, they also carefully use the term "hallucinate" as well. https://arxiv.org/pdf/2101.03749 https://arxiv.org/pdf/2101.03749