The Enhance dialog will show you a preview for the primary photo, but your chosen options (including the Denoise Amount) will apply to all selected photos. As with previous Enhance features, you can apply Denoise to several photos at a time by selecting the desired ones in the filmstrip, then clicking the Denoise button. Here are some tips for getting the most from Denoise.īatch mode. Yuck - I’m not a fan of all those color gremlins! Fortunately, applying Denoise at the default Amount of 50 is enough to clean them up (above right) while preserving the tree details. Using these technologies enables our models to run faster on modern hardware. Finally, we built our machine learning models to take full advantage of the latest platform technologies, including NVIDIA’s TensorCores and the Apple Neural Engine. In other words, when you apply Denoise to a raw file, you’re also getting Raw Details as part of the deal. (Essentially, my teammates and I spent a lot of time recording images with the lens cap attached never before have so many gigabytes been spent on such underexposed images!) Third, as with our previous Enhance features, we continued to train directly from the raw data, which enables us to optimize the end-to-end quality. Another essential component is the use of a large data set of “dark frames” which helps the model to understand and remove pattern noise in the shadows, especially in older cameras. A key ingredient is that we developed an extensive noise simulation and data augmentation pipeline so that the resulting models would be robust and work in a broad range of real-world situations. We developed a few extra goodies in our training system for Denoise. The fully-trained model is much more detailed. Here’s a furry example of the quality Denoise can deliver: As a rule of thumb, we wanted to deliver clean, usable results for a 20 megapixel full-frame camera at ISO 51200. We had some very specific quality goals when developing this feature: natural-looking results with crisp edges, clean shadows, good preservation of texture and small colors, and minimal artifacts (like uneven splotches). It’s also by far our most ambitious and advanced effort.
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