5/18/2023 0 Comments Neat image not showing![]() They are almost never perfect, but frequently very helpful when you add a few simple steps to your workflow. If you’ve read my tutorials on other AI software, you know that I’m leery of artifacts or isolated problems from AI. But if you use side car files, you should expect to copy and paste your settings if you started editing before using DXO. Hopefully a future update will address this so that the output matches your source in LR every time. The software will preserve any slider values embedded in the image ignores anything in a sidecar XMP file. I find the LR approach is the simplest, as you can easily transfer existing RAW processing or continue after using DXO. If you’re using v1, I’ve found the results similar but the convenience of the v2 workflow worth upgrading. ![]() If you’re using v2+, you can use their LR plugin or right-click the files in your file browser to make it even easier. You can always open your original image in the standalone app. It’s important to be aware that it can create some artifacts or shifts in color (which you may find better or worse, but typically easy to manage).ĭXO now supports a choice of workflows. I’ve been very impressed with the results it creates on a range of subjects. I’ve also found it does great with skin tones shot at ISO 400-1600 (I haven’t tested such images above that), making it a great tool for cleaning up images shot of indoor events. So I like using this result on the foreground and may use the original sky or some blend of the original and DXO sky. It can also extract much more star detail, though I find the results can appear to have artifacts (tails on the stars) and it probably does too good of a job, with my preference for leaving lesser stars less prominent. I’ve found that its DeepPRIME algorithm can do an amazing job with high ISO dark shadow detail as shown in the video above. The workflow is extremely simple and the results are often better than what I get with LR/ACR. This new DNG file retains all of the flexibility of your RAW data, but is enhanced to remove noise, improve detail, and can correct lens distortion. You simply feed an image or batch of images to it, choose from a few simple settings, and it creates a new DNG file which you can edit like any other in LR/ACR or your editor of choice. However, for critical images or challenging noise, I also use other tools to help get optimal results.ĭXO PureRAW 2 (referred to as DXO below) is the only tool I know of which works directly on the RAW data and outputs a true RAW file. See this tutorial for more details on how to get the most out of these tools. If the image was shot at ISO 400 or lower, this is nearly always the approach I use. ![]() The results are generally very good and this is my tool of choice for a large percentage of my images given simplicity, flexibility, and good results. However, the filter approach means you can use the same tool for either workflow. If you apply ACR via Filter / Camera RAW Filter (rather than inside a RAW Smart Object), your results will be different and may be inferior. LR and ACR offer the same controls and the exact same results when working with RAW data. With those two workflows and various goals in mind, there are several noise reduction tools you might consider.Īdobe Lightroom (LR) & Adobe Camera RAW (ACR) When I do that, I strongly prefer to do so as a Smart Filter on a Smart Object, so as to work non-destructively. However, there are always going to be times when you forgot to reduce noise or didn’t reduce it enough and want to reduce noise without completely redoing your edit, so it’s still very useful to be able to apply noise reduction later. Even just increasing the shadow slider in RAW before separate application of noise reduction (outside the RAW) can create inferior results. There are a number of complex interactions that can make reducing noise later a problem. This is not only a much more flexible and non-destructive workflow but often leads to better results. Between these approaches, I have a strong preference for removing the noise in the RAW. You can reduce it right away in the RAW or subsequently on the processed image (but before resizing, adding sharpening, or making other changes that de-noising software is not designed to anticipate). There are generally two approaches you can use for reducing noise. Be sure to read the full tutorial below, as I go into greater detail than I cover in the video. In this tutorial, you’ll learn how to clean it up with an an incredible tool and how to make the most of it. When you need high ISO to capture indoor or night scenes like this, your image will suffer from noise and a loss of detail.
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