![]() What does this mean in practice? Well I immediately tested it and was shocked at the results. Backed by this comprehensive training package, Super Resolution can intelligently magnify images while keeping edges clean and preserving important details. The term ‘super resolution’ refers to the process of improving image quality by improving the apparent resolution, “Chan explains.” Zooming in often results in blurry details, but super resolution has a great effect: a advanced machine learning model formed with millions of images. The super resolution is based on a technology launched by Adobe two years ago called Improved details, Which uses machine learning to interpolate RAW files with a high degree of precision, resulting in images with clear detail and less artifacts. The Bétapixel Article About this new feature, I quote Eric Chan from Adobe: ![]() ACR’s new Super Resolution feature essentially magnifies the image four times using machine learning, which is artificial intelligence (AI). I have seen some proverbs on this subject Bétapixel And the FstoppersOtherwise, the consequences of this new ACR feature haven’t been as widely publicized from what I can see. You can mark this day as a major change in the photo industry. Adobe just dropped off its latest software update through Creative Cloud and among those updates is A new feature in Adobe Camera Raw (ACR) called Super Resolution. ![]()
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