![]() With JPEGs I could see no meaningful improvement over resampling with Adobe Photoshop's Preserve Details 2.0 algorithm. There's no user control whatsoever beyond that, and your results are rendered out to a DNG file regardless of the source file format.Īlthough it's technically possible to process either Raw files or JPEGs using Super Resolution, I've compared numerous enlargements side-by-side and see no real-world reason to use the tool on JPEGs. With Adobe, Super Resolution is literally just an on/off switch that lets you double the linear resolution – that is to say, the width and height – of an image (or, put another way, quadruple their megapixel resolution). It's worth noting up front the most immediately obvious difference between the trio of AI options: their interfaces and overall capabilities. Three different approaches to UI and complexity The Super Resolution tool in both Adobe Camera Raw and Lightroom is an on/off switch, with no user controls whatsoever available. Let's take a look at how it stacks up to what Adobe and ON1 have to offer. ![]() And hot on the heels of an update promising even better results, I was keen to learn how it compared both to its nearest rivals. ![]() My time with Photo AI made me extremely curious to see how the program from which Photo AI drew its resolution-enhancing algorithms, Topaz Gigapixel AI, might perform given its rather greater selection of controls. ![]() Even when processing photos with quite low resolutions it delivered usable enlargements, with the only Achilles' heel being the results when shots included recognizable logos or barely-readable text. Although I've used competing resolution-boosting tools like Adobe's Super Resolution and ON1 Resize AI in the past, I was nevertheless surprised by the usability of Photo AI's resolution enhancement. In my recent review of Topaz Labs' Photo AI, I came away more than a little impressed by its AI-powered Enhance Resolution function. ![]()
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