ML SUPER RESOLUTION UPDATE
ML SUPER RESOLUTION PC
ML SUPER RESOLUTION MAC

Although it can certainly do its task without user intervention, the expectation is that you're going to tweak and tune the settings for best results based on subject matter. Topaz Gigapixel AI, meanwhile, occupies the opposite end of the user options spectrum. Topaz Gigapixel AI has by far the most complex interface of the trio and provides the most control, but it's still simple and easy to operate. To my mind, Super Resolution can be considered an effective tool only for Raw files, where the difference in image quality over other upsampling methods is clearly visible. Super Resolution's results did tend to be just fractionally crisper, but at the cost of being more prone to pixelation. 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.

ML SUPER RESOLUTION UPDATE

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. He's been gaming since the Atari 2600 days and still struggles to comprehend the fact he can play console quality titles on his pocket computer.In my recent review of Topaz Labs' Photo AI, I came away more than a little impressed by its AI-powered Enhance Resolution function. Oliver also covers mobile gaming for iMore, with Apple Arcade a particular focus. Current expertise includes iOS, macOS, streaming services, and pretty much anything that has a battery or plugs into a wall.

Since then he's seen the growth of the smartphone world, backed by iPhone, and new product categories come and go.

ML SUPER RESOLUTION MAC

Having grown up using PCs and spending far too much money on graphics card and flashy RAM, Oliver switched to the Mac with a G5 iMac and hasn't looked back. At iMore, Oliver is involved in daily news coverage and, not being short of opinions, has been known to 'explain' those thoughts in more detail, too. He has also been published in print for Macworld, including cover stories.

ML SUPER RESOLUTION PC

Oliver Haslam has written about Apple and the wider technology business for more than a decade with bylines on How-To Geek, PC Mag, iDownloadBlog, and many more.

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