I thought I would test out just how different the two file types are.Īs it turns out…. If you try and open a non-RAW file in NoNoise AI you will get a warning telling you that the noise reduction is not optimised for rendered files such as JPEG or TIFF. You probably wouldn’t notice the difference in a print, and in fact I prefer to leave a tiny bit of noise in the background to give it a slight texture – but in terms of the amount of noise removed – NoNoise is the winner here, and you can always dial back the NoNoise settings if you want to leave some noise in. the NoNoise AI result though is a little cleaner than the DeepPRIME result. Once again, both applications have done a great job at removing noise and retaining detail.
#Topaz denoise ai vs dxo prime manual#
To create the photo in DeNoise I processed the file in Lightroom with zero noise reduction or sharpening applied, then opened the file in PhotoShop and ran DeNoise AI with manual settings to get the best result I could. dng file and then processed in Lightroom to get the finished photo. The NoNoise photo was processed as a RAW file in NoNoise, saved as a. I didn’t just press the ‘auto’ button, but made sure to tweak each program to get the best results I could. Now let’s take a look at how the results from NoNoise compares to the competition.įor the below comparisons I put the original RAW file through a workflow to optimise the quality of the results in each program. I haven’t yet had a chance to test how all three applications go on my speedy Desktop machine, but I’ll be sure to add the results when I can. As a comparison, Topaz DeNoise took 17 seconds and DxO PhotoLab took 28 seconds for the same file.
#Topaz denoise ai vs dxo prime pro#
On my 2018 MacBook Pro with Radeon 570 graphics, NoNoise processed the above 20 Megapixel file in less than two seconds. This doesn’t appear to be the case with NoNoise AI.
One of the most complained about aspects of AI powered noise reduction tools is that they take ages to process each file. It is pretty clear in the above example that NoNoise has eliminated most, of the noise and has not sacrificed any of the fine feather detail in the process.
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