Join Seán Duggan for an in-depth discussion in this video Reduce noise with the Dust & Scratches Filter, part of Enhancing Night and Low-Light Photos with Photoshop.
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…Sometimes you may run into a file where the regular noise reduction solutions do…not work.…This is often an issue with older digital camera files, or…also on very long exposures.…For those situations, there's a trick that may work using Photoshop's Dust &…Scratches filter, along with a blend mode.…So this is an older file, and it's about a 3 minute 20 second exposure.…As star photos go it's not that great but it is a good example for…fixing noise that resists the regular noise reduction approaches.…
So, the first thing I'm going to do is go up and apply the Camera Raw filter.…So that I can show you how it is not working with…the regular noise reduction strategies.…And normally I would do this by converting the layer to a Smart Object, but…in this case I'm not going to save the filter effect, so…I'm just going to go right into the Camera Raw filter by choosing Filter >…Camera filter, shortcut for that is Shift+Cmd+A on a Mac or…Shift+Ctrl+A on Windows and let's just zoom up to 100%.…
Cmd+Option 0 or Ctrl+Option 0, and…
In this course, photographer and educator Seán Duggan explores a range of post-processing techniques aimed at expanding your creative options for night and low-light photography—and even "shooting" stars. He'll begin in Camera Raw for general enhancements (white balance, tonal and contrast adjustments, and noise reduction) and then turn to Photoshop to capitalize on its Merge to HDR feature, which can create spectacular high-dynamic-range images. Last, he includes techniques specifically for star photography: stacking layers to create star trails, removing and replacing blurry stars, and using luminosity masks on photos of the Milky Way.
- Using neutral guides to set white balance
- Applying lens profile corrections
- Reducing noise
- Working with 16-bit and 32-bit HDR images
- Stacking layers and combining exposures
- Improving star photography