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No, I think it's $49 for one product, $99 for two or more. Yes, DeNoise is only useful for RGB images if you use DXO now it has DeepPrime.
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But now that I have little use for DeNoise AI, and have hardly used Gigapixel since I bought it, I might only upgrade Sharpen AI, but only when it adds useful new capabilities or improved output, not just UI tweaks. Yes, I certainly intend to use it if/when I eventually upgrade my Topaz AI products. The discount coupon from davidkelly works on upgrades.
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I don't think the sale discount applied to upgrades, did it? The sale was to sell new products, and was particularly focused on getting people to buy the full set of AI products. There are coupons always available for a discount. Topaz offer an upgrade to all of their "photo" app bundle for $99 so the more of the "photo apps" the cheaper the upgrade. So you don't get the "I upgraded to a new version 3 months ago and now they have released a new version".
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Remember that unlike a traditional perpetual license you will get a years worth of updates from whenever you purchase the upgrade. Obviously you just missed the BlackFriday sale but other sales will come There are improvements in the latest version take a look at the Topaz site for details see if they appeal to you? If Denoise is working for you I wouldn't upgrade. Is anyone else paying to upgrade and do you notice any must have improvements in the new version over the old? I clicked on "renew" and was brought to a screen to pay $79 for the "renewal" privilege. Got a message that a new version was available but only if I "renewed" my license. Topaz offer a fully functional trial, so now would be a good time to test this program out.Just opened Topaz de-noise AI, first time using it in a while. The only downside it has is speed – it is not the fastest noise removal tool.
I think it’s fair to say that Topaz DeNoise AI has produced an incredible result here. The chroma (colour) noise is really grotty. Insanity! At this setting the images are so noisy that we could expect no program to make them perfect. It is the quality of DeNoise AI’s result that makes them seem substandard. In the past I’d be saying how good DXO and Ninja had done. In each case, Topaz DeNoise AI has removed more noise and produced a clearer, sharper result that the others. In the comparison pictures, Topaz DeNoise AI’s result is on the bottom right of the grid: The noise is there, but it’s not too bad.
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This is about as high an ISO as I would normally use with this camera. DXO and Ninja are excellent noise removal tools, so this is a good test. This time I used JPEGs from the Canon M50, a APS-C camera that produces far more noise than its full frame big brothers.įor this test, I put the same images through DeNoise AI, DXO Photo Lab 3 and PhotoNinja. And there is so much detail in 16 bit TIF files. Maybe that makes it too easy… Full frame cameras don’t produce that much noise, even at 8 ISO. In my previous test I used 16-bit images from a full frame camera. Unticking any of the images allows you to make adjustments to a subset of the images. In the above example, it applies the settings to all the images in the batch. You then benefit from DeNoise AI’s assessment of the image and can tweak it if you want to. A good trick is to select Auto and then switch back to manual.
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You can choose between automatic and manual noise removal. The interface is simple, refreshingly so: Topaz DeNoise AI Interface Removing chroma noise has the side effect of reducing colour saturation so it’s good to control the process. This new setting lets you decide the degree of chroma noise removal. Previous versions of DeNoise AI removed chroma noise automatically. Chroma NoiseĬolour noise differs from luminance noise and at very high ISO settings is difficult to remove. Noise characteristics are camera and ISO dependent so noise reduction is an ideal candidate for doing en masse. But noise reduction can – if you have a bunch of images taken in the same light and taken at the same ISO setting then it makes perfect sense to batch process these. Batch processing images doesn’t always make sense.
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