ON1 goes a step further to provide a customizable accent color, but this makes a minimal difference to anything. Topaz Denoise AI on the other hand tries its best to skew your color perception by maintaining a blue color palette throughout the program - a big no-no for the editing process.īoth allow color changes to the preview background color but, for the most part, this is never seen unless your zoom is backed out all the way and it also doesn’t affect the panels surrounding the photo. ON1 NoNoise AI Topaz Labs DeNoise AIĪs far as looks go, ON1 NoNoise AI is by far superior with its minimal use of color. The photo being processed is oriented on the lefthand side, the main toolbar panel is on the right, and there are more information and tools on the top and bottom. Opening each program, both have a similar layout in default settings. Moving into the comparison, I want to first discuss the similarities and differences as far as the layout, tools, and file handling workflow goes for each application. However, organizations like the National Audubon Society, which just hosted the 2021 Photography Awards Contest, recognize the difference and specifically did not allow “AI and machine-learning-based software used for upscaling, sharpening and significant noise reduction.” In a sense, it can be argued that the final edited images from AI noise reduction software are composites.Īudubon 2021 Photography Awards Contest rules.
In practice, you don’t really think about this and to the end-user, it does just look like original details being cleaned up and brought out because it works so well ( most of the time). Simplified, the software is reading your photo, comparing it to its massive data library complied from machine learning to recognize what something should look like, and then replaces the original artifacts with clean textures and details based on its photo-driven libraries.
The programs are not simply finding hidden details already existing “behind” the noise and enhancing them. While these two applications primarily target “digital grain” type noise, there are other degradations happening to an image simultaneously as the noise gets worse and, to an extent, I noticed both software applications attempting to fix a few of these as well, so I thought it was worth mentioning.Īnother thing to point out is what the “AI” in NoNoise AI or DeNoise AI is doing.
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