![]() ![]() The dialog will give you an estimate on how long it will take to create the new Enhanced image, which will show up as a separate image file. Backed by this vast training set, Super Resolution can intelligently enlarge photos while maintaining clean edges and preserving important details.Ī dialog window will come up so you can see how the image will look and you can also toggle back and forth between the original image and the new Enhanced version. “Enlarging a photo often produces blurry details, but Super Resolution has an ace up its sleeve: an advanced machine learning model trained on millions of photos. The term ‘Super Resolution’ refers to the process of improving the quality of a photo by boosting its apparent resolution,” Chan explains. Super Resolution builds on a technology Adobe launched two years ago called Enhance Details, which uses machine learning to interpolate RAW files with a high degree of fidelity, which resulted in images with crisp details and fewer artifacts. ![]() The PetaPixel article on this new feature quoted Eric Chan from Adobe: The new Super Resolution feature in ACR essentially upsizes the image by a factor of four using machine learning, i.e. I have seen a bit of reporting out there on this topic from the likes of PetaPixel and Fstoppers, but other than that the ramifications of this new feature in ACR have not been widely promoted from what I can see. ![]()
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