I don’t use photolab 4 a lot because I prefer NIK, ON1 and Luminar AI as lightroom plugins BUT I have learnt that, compared to other plugins it has a better workflow with lightroom, meaning they can in a certain sense share dng and lightroom catalog. I updated my old NIK collection to V3.3 (non destructive in lightroom for one plugin) and considered DXO photolab 4 at same time because I had some nostalgy of the U-points I used in the past in capture NX2. However, for now, I will continue to use DxO DeepPRIME to process my noisy high-ISO images. Topaz ReMask is a game-changer product for my general photography (though its useless for masking stars). I don’t have the opportunity to travel a lot like you due to my job,įamily reasons and confinement for 1 year so I spend hours to play with theseĪnd help my friends to retouch and boost their pictures… Maybe Topaz Denoise AI or other programs can achieve even better results, I am very curious. Here's a short video showing the new features of the Comparison View.I like to buy tutorials, softwares (topaz, NIK3.3, DXO, ON1, Luminar AI), photoshop panels (F64, TK/Lumenzia, Infinity color grading+B&W) and presets, especially on black friday 🙂 That involves sending a TIFF copy to DeNoise AI and use the improved Comparison View to choose the best model and settings. If the edited RAW file isn't affected by excessive noise, I'll follow my typical workflow of using Lightroom's "Edit in DeNoise AI" option. The next step is to sync the edits I made to the original RAW file to the DNG file and apply tweaks to match them up. I will then apply the RAW model, save the file, and import the newly created DNG output file back in Lightroom. If the photo suffers from excessive noise, I'll create a virtual copy or a new snapshot and send the unedited RAW file to DeNoise AI. Once I am close to wrapping up the edit, I'll take a close look to see how much noise is affecting the photo. My workflow involves editing my "Pick" RAW files using Adobe Lightroom Classic first.
Not every RAW photo needs to be sent to DeNoise AI at the beginning of your post-processing workflow.
The real question worth asking is IF you should use the RAW model, and the answer is a bit more nuanced. That's when to use the RAW model, and you have to use supported RAW files. Fortunately, the answer is straightforward: you should use the RAW model at the very beginning of your post-processing workflow.
#Topaz ai denoise update#
I spent a lot of time reviewing all of the comments left on our DeNoise AI v3.3 update post and our social media channels, and one of the most common themes-and source of confusion-has to do with when to use the RAW model. I recommend reading this article to learn more about how and why we built the RAW model. Both of these file types are classified as compressed RGB files, and while DeNoise AI can do great things with them, there is so much more that we can do when we source the original RAW data. In this post I’ll go through the post editing programs I use and in which order I use them. I’ve been using Topaz products as part of my post processing workflow for quite some time now and over this time the order and which programs I use have changed quite a bit. DeNoise AI uses a fundamentally new approach called deep learning: after a lengthy process of learning from millions of images, DeNoise AI learned to accurately distinguish between real image detail and noise. Topaz Workflow for DeNoise AI, Sharpen AI and Gigapixel AI.
#Topaz ai denoise software#
This workflow requires your DAM first to create a duplicate file, often a JPEG or TIFF. Noise reduction software has been the same for over a decade - until now.
We've also loved seeing the noise-reduced photos you've shared with us online! We built the RAW model to deliver the cleanest possible noise reduction by changing the data we analyze.Typically, you'd import your RAW files into your digital asset manager (DAM), go through a curation process, edit your picks, and then send the noisier ones to DeNoise AI. We've been thrilled with all the positive (and constructive) feedback on the new RAW model recently introduced in DeNoise AI v3.3.
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