When you need high ISO to capture indoor or night scenes like this, your image will suffer from noise and a loss of detail. In this tutorial, you’ll learn how to clean it up with an an incredible tool and how to make the most of it. Be sure to read the full tutorial below, as I go into greater detail than I cover in the video.

 

There are generally two approaches you can use for reducing noise. 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). Between these approaches, I have a strong preference for removing the noise in the RAW. This is not only a much more flexible and non-destructive workflow but often leads to better results. There are a number of complex interactions that can make reducing noise later a problem. Even just increasing the shadow slider in RAW before separate application of noise reduction (outside the RAW) can create inferior results. 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. When I do that, I strongly prefer to do so as a Smart Filter on a Smart Object, so as to work non-destructively. With those two workflows and various goals in mind, there are several noise reduction tools you might consider.

 

Adobe Lightroom (LR) & Adobe Camera RAW (ACR)

LR and ACR offer the same controls and the exact same results when working with RAW data. 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. However, the filter approach means you can use the same tool for either workflow. 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. If the image was shot at ISO 400 or lower, this is nearly always the approach I use. See this tutorial for more details on how to get the most out of these tools. However, for critical images or challenging noise, I also use other tools to help get optimal results.

 

DXO PureRAW 2 (with “DeepPRIME”)

DXO 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. 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. 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. The workflow is extremely simple and the results are often better than what I get with LR/ACR.

I’ve found that its DeepPRIME algorithm can do an amazing job with high ISO dark shadow detail as shown in the video above. 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. So I like using this result on the foreground and may use the original sky or some blend of the original and DXO sky.

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. I’ve been very impressed with the results it creates on a range of subjects. 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).

DXO now supports a choice of workflows. You can always open your original image in the standalone app. 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. If you’re using v1, I’ve found the results similar but the convenience of the v2 workflow worth upgrading. I find the LR approach is the simplest, as you can easily transfer existing RAW processing or continue after using DXO. The software will preserve any slider values embedded in the image ignores anything in a sidecar XMP file. Hopefully a future update will address this so that the output matches your source in LR every time. But if you use side car files, you should expect to copy and paste your settings if you started editing before using DXO.

If you’ve read my tutorials on other AI software, you know that I’m leery of artifacts or isolated problems from AI. They are almost never perfect, but frequently very helpful when you add a few simple steps to your workflow. Just use layer masks or opacity to blend the AI results into your original will often yield better or faster results. To do this, you’ll need proper alignment of the original and DXO files, which means you should disable the lens correction in DXO. It does an excellent job, but the ability to mix with the original to fix any artifacts or color issues is more important.

Given all of these considerations, I find the following workflow is ideal for DXO PureRAW is:

1. In LR: select the file(s) to convert and go to File / Plugin Extras / Process with DXO PureRAW. You can even select multiple images from different folders (use ctrl/cmd and shift to make multiple folders visible and then the same keys to select multiple images).
2. Use these settings: deepPRIME (this is typically the best algorithm and runs fairly quickly), under optical corrections turn OFF “lens distortion correction” (so that you can blend in the original later), you may try “global lens sharpening” if offered but I generally leave it off, and set output to DNG in a DXO sub-folder. I have found that using “global lens sharpening” improve some chromatic aberration, so it can have surprising effects either way and I recommend testing if you see edges you think may benefit from more/less sharpening or less aberration.
3. If you started processing the image before conversion, embedded settings will be transferred but those from a side car will not. It’s simplest to do step #1 before adjusting anything, but you can simply copy and paste the RAW settings. DXO will never transfer noise reduction, sharpening, or lens correction settings.
   1. You should definitely copy or sync any lens correction settings so that the exact same LR corrections are applied to both versions for proper alignment later when blending the original and DXO RAW.
   2. You may copy sharpening settings, but I would review carefully as the optimal is probably not the same for both.
   3. DXO tries to take care of color issues for you and you don’t generally need to set the color noise reduction. But there are times when it will be very helpful for issues which resemble chromatic aberration. You can also run into some very odd niche issues, such as the significantly altered mask results as shown in the video above.
4. Open both the original and DXO RAW files as RAW Smart Objects in Photoshop to merge the best of both.
   1. If the DXO shows unwanted color: In most cases, you can simply tweak the white balance (including the tint slider under camera calibration) for the DXO layer to achieve similar color. Otherwise, put the DXO layer above the original in PS and set the blend mode to “luminosity”. This will give the noise reduction benefit without the unwanted color shift.
   2. If you used the luminosity blend mode but do want the color in some places, you can duplicate the DXO layer, set it to “color” blend mode and use a layer mask where needed.
   3. Finish by putting a layer mask on your DXO layer (or group if using two copies of it) to combine the best of the DXO and original layers.

One minor note: you may read that DXO outputs a “linear” DNG. There is some confusion on the topic and you might think this means you may get improved highlight recovery. That is not the case. What is blown out in the original will remain blown out in the DXO layer. This is just a high quality file format that you can use like any other RAW with improvements in noise and detail based on what was captured in the original.

 

DXO Photo Lab

Photo Lab is DXO’s full-featured RAW processor (at least as of v5) also includes DeepPRIME. Just like PureRAW, you can process and export a RAW file that you can use in other editors. It offers a much greater range of options in general, with DeepPrime specifically offering luminance and dead pixel sliders for more control over those features. Other corrections like vignetting are split out and lens sharpness offers more detailed controls. If you want the ultimate control or wish to do everything in one place, this may be a better choice for you than LR + PureRAW. Just use the export and DNG option if you need to send the image back to LR. Personally, I don’t find the extra control here matters much as I can generally achieve similar effects by blending layers in Photoshop, prefer to use LR as my primary RAW processing tool, and find the integrated workflow with PureRAW much simpler than exporting from Photo Lab to LR.

Some tips for working with the Photo Lab version of DeepPRIME:

• The main window is a rather low quality preview of denoising results, which may show a lot of artifacts and color noise which won’t be in the final processed image. You should only use the magnifier window in the controls to determine the best settings for denoising, lens sharpness, and chromatic abberation. I wish there was a way to get a larger but still accurate preview, but that does not seem to be an option currently. I’d happily wait the 20 seconds it takes PureRAW to generate teh whole image for me to move around. It’s a challenging limitation to only be able to review such a tiny portion of the image at a time which I feel limits my ability to make optimal choices.
• Try setting the luminance slider around 40-75%.
• Note that some sliders (such as dead pixels) are hidden and require you to click the + at the bottom of the tab, and the help for the denoising section lists all sliders (including many which only apply to the HQ or basic Prime algorythms), which is a little confusing at first.

 

Nik Dfine

Nik Dfine also comes from DXO, as part of the Nik Collection. It works as a great counterpart to PureRAW as it works as a Smart Filter on Smart Objects. It doesn’t offer the potentially eye-popping improvements of PureRAW, but it does a nice job tackling typical noise on your processed images. The interface is extremely easy to use. So if you’re using or interested in other Nik tools like Color Efex Pro, this is a great tool to consider using in addition to ACR. When you need more control for your processed images, I’d look to DeNoise or Neat Images.

 

Topaz DeNoise AI

Topaz DeNoise AI does offer a true RAW output, however I find it alters the crop by a few pixels and alters the color/luminosity significantly (in a negative way). It also does not let you lighten dark shadows in the RAW, making it hard to choose optimal settings. Because of this, I find that the current design does not adequately support the RAW workflow. However, it’s still very useful for reducing noise on an existing image and can therefore be very helpful in situations DXO cannot manage (since it only works on the RAW). So overall, I use LR/ACR on simple images, DXO on more complex RAW, and DeNoise or ACR as a filter to reduce noise after I’ve started processing. That said, it is still best to use this before applying clarity, texture, sharpening, etc and that does limit its use for me a bit.

I recommend the following workflow for DeNoise:

1. Convert your target layer(s) to a Smart Object so you can work non-destructively
2. Go to Filter / Topaz / Topaz DeNoise AI
3. Try clicking “compare” to evaluate the difference between the different models (standard, clear, etc).
   1. Standard is a good general option, Clear seems to sharpen detail quite a bit, Low Light and Severe Noise are good options for high ISO, and I skip the RAW model (its meant for work on RAW images, which I’m not doing here).
4. Set “remove noise” and “enhance sharpness” to the lowest values that get the job done. I tend to leave the sharpening off.
5. If you see  inconsistent sharpening (such a patches of smooth sky mixed with noisy sky), try increasing “recover original detail” until things look more consisten.
6. I generally leave “color noise reduction” at the default 0.
7. Apply and use the Smart Filter to apply the noise reduction locally where helpful/needed.

Note: As of v3.6.2, I am seeing DeNoise crash a fair bit when updating RAW Smart Objects. PS does not crash (you won’t lose your image), it’s just that the plugin may fail to update its noise reduction when you try to tweak it or update the Smart Object. Deleting the filter and recreating is a workaround when this happens. I’ve reported the issue and I would expect Topaz fixes relatively soon it given their history of support/updates.

 

Neat Image

Neat Image holds a special place in my heart as the first program I used well over a decade ago to get great results. The interface is much more complicated and probably confusing to most users. However, it’s still a great option for some images. Since it is not based on AI, I find it less prone to artifacts and can be a good option for tricky high ISO images.

 

ON1 No Noise AI

While I own it and it is generally a fine program, I not currently do not use No Noise AI. It will open RAW files but ignores any adjustments you’ve made in RAW. It will output a DNG, but apparently with RAW data (LR/ACR treat it like a TIF). So it does not support the RAW workflow I like to use. It also does not work as a Smart Filter on a Smart Object, so it does not support the other workflow I recommend. At this time, I recommend DXO or Topaz. If I’ve missed something or the program is updated to address these limitations, please let me know and I’ll review again and update my findings.

 

Capture One

Capture One is a direct competitor to LR/ACR and many people believe superior for their work. I am personally of the opinion that it is better in some ways and worse in some ways and ultimately not really better or worse across a large number of images. The edit the RAW conversion right inside Photoshop gives LR/ACR an enormous advantage and is the reason I prefer it over Capture One. I find that this flexibility allows me to do my best work, which ultimately gives me a better image and with less hassle given the flexibility of the workflow. For the sake of discussion here, I recommend using either CaptureOne or LR/ACR and then considering one of the other specialized tools for important or tricky noise reduction jobs.

 

Starry Landscape Stacker

Starry Landscape Stacker uses a completely different workflow specific to reducing noise in starry night sky images like the Milky Way. Instead of improving your RAW or processed image, it lets you combine multiple images to reduce noise. This is often like shooting at ISO 400 or 800 instead of 6400. It rotates the sky image to align multiple exposures, which is the digital equivalent of using a star tracker. You can also combine the use of this technique with the others above to push the results further.

 

Conclusion

My overall use of these tools looks like this:

• Images <ISO 400, use LR / ACR unless making a massive enlargement.
• Images ISO 800+, use PureRAW2
• On images I’ve already processed, use ACR, Dfine, DeNoise in roughly that order based on how challenging the job is. I try to avoid AI tools when simpler tools do the job because they fail in more predictable ways (less need to look over every little detail in the image to check for issues). For complex jobs where DeNoise shows artifacts, I would also try Neat Image.
• For Milky Way shows where I can shoot a sequence of 10+ images, use Starry Landscape stacker. Typically in combination with noise reduction in LR or PureRAW2) first. Then I may do additional noise reduction targeted through a luminosity mask to help keep sharp stars.

 

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