We'll start by comparing JPEG and Raw enlargements from low-res and high-res originals. For this article, though, I'm going to illustrate just five sets of comparison crops. To draw my conclusions I tested all three applications with dozens and dozens of Raw and JPEG photos from a wide variety of digital cameras, ranging from ancient to quite modern. (Just as with Topaz Gigapixel AI, the actual upper limit will depend upon your source image.) You can also select one of two interpolation methods (Standard or Faithful) and have some control over sharpening and grain generation, but there's no way to tweak results beyond that.
With ON1's offering, you can choose a scaling factor of 6x or beyond. ON1 describes it as being ' fully integrated' into Photo Raw, however, so its functionality and underlying algorithms should be identical. I should note here that I'm using the version of the tool built into ON1 Photo Raw 2023, which I also recently reviewed, rather than the standalone application. ON1 Resize AI – seen here hosted as part of the Photo Raw 2023 app instead – strikes a middle ground, offering a lesser degree of user control than Gigapixel AI.įinally, ON1 Resize AI assumes something of the middle ground. I should note quickly, though, that it's an all-or-nothing proposition in Gigapixel AI, as you can neither see which faces have been detected nor disable the effect on a per-face basis, only for the image as a whole. It also gives you almost the same face recovery tool as in Photo AI at least its strengths and weaknesses are much the same as in that product, so I'll encourage you to read my earlier review. Gigapixel AI will only use its machine-learning algorithms for that initial 6x enlargement before falling back to more traditional resampling methods for the remainder. You can scale by width/height or by choosing an enlargement ratio of up to 6x, although if you go any further there's a bit of a gotcha. You can choose from one of six different AI models specific to different types of imagery, and you can then adjust sliders to suppress noise, remove blur, and (for some AI models) fix compression artifacts. 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.
Topaz detail v3.2.0 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. 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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