I was not happy to thrash my computer just for one image so I aborted. The fans stayed on full power for 3 minutes by which time the ‘progress’ bar had moved to about 15%. When I say the computer started to sound like a hovercraft, I am barely exaggerating. When trying to export an image (D810 full size NEF) the cooling fans on my processor and my graphics card suddenly went into full speed. Topaz Gigapixel created a big problem on my computer. Adobe is pushing things in the right direction with Super Resolution, and even though I’d say the hype grew a bit beyond the reality, the reality is still very good. Upsampling isn’t something that most photographers need to do very often, but when it’s necessary, it can make or break a print. I’m hopeful that they can push the envelope even further in the future. Any improvement to a good foundation is welcome, and Super Resolution is indeed better than Adobe’s prior best upsampling algorithm. So, I take issue with reviews that claim Super Resolution drastically reshapes… well, much of anything. Still, it’s arguably a bit behind the results of Topaz Gigapixel AI, and all of these upsampling algorithms are, unsurprisingly, far behind an original, high-resolution image. With Super Resolution, Adobe has done a good job building upon their existing Preserve Details 2.0 algorithm to allow better upsampling than before. As with the other samples in this review, I leave it to you to judge which one you like better and by how much. Personally, given that Topaz Gigapixel AI costs $80, and I already have the Adobe bundle, I’m sticking with Super Resolution. Between the two, I lean toward the Topaz image, but they’re pretty close. The Topaz image on the right has smaller, finer details overall, as well as less noise and crunchiness. The Adobe Super Resolution version on the left doesn’t have as many strange color artifacts or waxy-looking areas. (There’s a framing difference because Adobe applied a non-removable lens profile, while Topaz didn’t.) I figured it would be helpful to add a Super Resolution vs Gigapixel AI comparison so you can see what the state-of-the-art is from more than just Adobe. Adobe Super Resolution vs Topaz Gigapixel AIĪnother company that’s using artificial intelligence upsampling algorithms is Topaz, with their Topaz Gigapixel AI software. Any issues I have on this topic are not with Adobe, but with the coverage on various sites that makes Super Resolution seem like never-before-seen technology, when it’s more like a nice iteration of something that’s been around for a few years already. It’s pretty amazing what artificial intelligence algorithms can do today, not just for upsampling, but also for things like noise reduction and fixing motion blur. Regardless, I’m happy Adobe has figured out a way to improve their existing upsampling algorithms even further, and hope they can continue down that path. (Though something similar can be said of Preserve Details 2.0.) Perhaps they’ll manage something close, one day – after all, the current iteration is better than almost anyone would have expected back in 2010 or so. Adobe would have to do some absurd wizardry behind the scenes in order to double a photo’s linear resolution without losing much apparent image quality. In short, it’s much better than any of the upsampling algorithms. There are so many finer details in this image, and the non-detailed areas have substantially less noise as well. I took this photo using the Panasonic S1R’s sensor-shift mode, so it’s as close as you’ll get to a “real” 188 megapixel shot of this scene. The original is a 47-megapixel image from the Panasonic S1R, and all the crops you’ll see in a moment are from that small red rectangle:Īctual 188-megapixel image, taken with sensor-shift Here they are. First, this is the uncropped image I’ll be using. (Say that five times fast!) Instead, it’s a solid advancement to impressive technology that already existed.Īh, you won’t believe me without tests. But don’t read too much into headlines claiming that Super Resolution is a revolution. Don’t get me wrong – I’ve been impressed by Preserve Details 2.0 for years, and any improvement is welcome. Super Resolution also isn’t drastically better than the Preserve Details 2.0 upsampling algorithm that Photoshop has already had since 2017. If that’s what you were hoping for, you’ll need to temper your expectations. The answer is in the title of this review: good, but don’t expect a miracle.Ī 12-megapixel image that has been enhanced to 48 megapixels with Super Resolution won’t match an original photo from a 48-megapixel camera, or even get especially close. Everything above is nice to know, but it won’t matter if Super Resolution isn’t any good.
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