![]() Similarly, if you are working with your image on Lightroom, you can seamlessly open the image in Topaz DeNoise AI. If you are working with your image in Photoshop, just head over to Filter>Topaz Labs>Topaz DeNoise AI… This will open up the image in Topaz Denoise AI software. The software is well integrated with Photoshop and Lightroom and I found switching between them quite easy and intuitive. On the other hand, if you are still in the process of editing your images and want to switch over to Topaz DeNoise AI to get rid of the noise, you can do so too. If you have an image ready from which you want to reduce noise, you can launch the Topaz DeNoise AI software separately and import the image into the software. During the installation process, it didn’t even prompt me about this. You can either use Topaz DeNoise AI as stand-alone software or launch it from within other software like Lightroom or Photoshop. I have always appreciated how Topaz Labs design its software. There are just four sliders that you need to work with and with the press of a button, it’s like the software really does some kind of magic to get rid of noise in the image. Once you run the image through the software, there’s nothing much that you need to do as far as noise is concerned. Working with the software is a breeze and I must say that I was pleasantly surprised with the output. ![]() My experience with Topaz DeNoise AI has been quite a good one. Topaz Labs claims to have fed its algorithm with millions of noisy/clear images until it actually learned what noise is and how best to remove it. Topaz Labs, the creators of Topaz DeNoise AI, on the other hand, have this piece of software that’s entirely dedicated to reducing noise while retaining clarity and sharpness.Īs with many processes that are making use of Artificial Intelligence (AI), Topaz Denoise AI too leverages this technology. The most common method that has been in use is the one that’s provided with the photo editing software – popular ones being Lightroom, Photoshop, and Luminar 4. There are a lot of traditional ways to deal with noise in your images.
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