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1. USING TOPAZ DENOISE IN LIGHTROOM MAC OS
2. USING TOPAZ DENOISE IN LIGHTROOM MANUAL
3. USING TOPAZ DENOISE IN LIGHTROOM SOFTWARE
4. USING TOPAZ DENOISE IN LIGHTROOM ISO

Now I am not a software developer, so let me know if that is an incorrect assumption! On the other hand, my guess is that Topaz works off the JPG preview embedded in the Raw file which is much faster to load, but then bakes in the changes during the export period which accounts for the longer time on the back end. So what accounts for this? I believe that ON1 NoNoise takes longer on the initial load time because it automatically applies the adjustments to the Raw image up front, then any additional changes and the export time is much faster. ON1 is also faster when moving sliders and previewing the changes (which are near instantaneous) compared to Topaz which takes a few seconds to render an updated view. On this image ON1 took a total of 113 seconds compared to 169 seconds for Topaz. So, by simply adding the import-to-preview and export times (not counting time for adjusting the image in the programs), the claim that ON1 NoNoise is faster does ring true. Shockingly, ON1 exported the file in a mere 7 seconds, easily topping the export time of Topaz! At 52.3mb the exported ON1 DNG ON1 file size was also considerably smaller, less than half the size of the Topaz file. For this test, I let the AI take control and exported to a DNG file.

USING TOPAZ DENOISE IN LIGHTROOM MANUAL

The ON1 NoNoise interface offers fewer standard options and no preset options, simply an “Auto On” slider to engage the AI or turn it off for those who prefer to fine tune the adjustments via the manual sliders. On my system, it appeared as though the progress bar at the bottom showing the import status gets frozen around halfway for quite some time, then… BAM! The file immediately opens up and previews with noise reduction applied.

Moving on to ON1 NoNoise AI (version 2021, 16.7) the file was imported in 1 minute and 46 seconds, quite a bit slower than Topaz. The processor is a 3GHz Intel Core i7 (and yes, have gotten my money’s worth of usage out of this computer and yes, I desperately want to upgrade!)

USING TOPAZ DENOISE IN LIGHTROOM MAC OS

This test was run on a MacBook Pro (mid-2014) running Mac OS Mojave (version 10.14.6) with 8gb of RAM. ORF Olympus file was 17.3mb and the new, noiseless DNG file bloated to 124.8mb.įor the tech crowd, I have an older, slower computer so your mileage may vary in terms of export speeds. It took DeNoise 2 minutes and 10 seconds for the export. And while there were just subtle differences between the presets, the Low Light option looked the best on this image so that was the selection I chose and exported as a DNG (the other presets appeared to introduce some artifacts and odd halo around parts of the image such as the door hinge and the narrow weeds). It took DeNoise 39 seconds to import the photo and load a preview of one noise reduction setting. Now, to be truthful, while you can make adjustments yourself I typically leave the “Auto” slider on and let the Artificial Intelligence (the AI in the name) do the heavy lifting. Topaz DeNoise (version 3.1.2 was used) offers four settings to start with - Standard, Clear, Low Light and Severe Noise. This outhouse image was chosen both for the comedic value, but also to see how the two programs would fare with reducing the noise in the dark night sky, the reds and blues and maintaining the texture of the wood.

USING TOPAZ DENOISE IN LIGHTROOM ISO

This photo was shot at ISO 1600 with a 20-second exposure at F4.

I shoot in Raw, and for these tests we will start with zero edits made as I prefer to do the noise reduction as the very first step. This camera is wonderful in nice light, but when it comes to astrophotography and other extremely low light situations I often wish I had a Canon, Sony or Nikon body which tends to perform better at similar or higher ISO levels.īut, an Olympus image will make a perfect test subject, and for this test I’m using one I shot at Keys Ranch in Joshua Tree National Park. Now, I shoot with Olympus cameras and their small 4/3 sensor are notorious for noise at high ISO settings. Let’s see how it compares to the champion, shall we? And for the past couple of years, the (arguably) gold standard for noise reduction has been Topaz DeNoise AI.īut, in early July, ON1 launched a new program called NoNoise AI designed to tackle high-ISO photos with claims of greater noise reduction and faster speeds. While Lightroom, ON1 Photo RAW, Capture One and other post-processing programs typically offer some noise reduction sliders built in, they rarely are as effective as using a stand-alone, dedicated program. Personally, I would rather push it and have a high-ISO, grainy photograph than miss a good photo opportunity! Others, however, gravitate to a smoother look similar to if the photo was shot at a lower ISO.īut, as good as modern cameras are at reducing the noise levels, it still creeps in at those times when we are forced to use an ISO of 3200, 6400, or higher. Noise in a photograph is a very subjective issue… Some photographers welcome it, preferring a grainy look reminiscent of high speed films.