Everyone is saying Ai these days. It’s the marketing gimmick. But Adobe is showing that when they say Ai, they mean tools that are actually smart. Like the Ai masks from last year made even better in 2023.
But what about Lightroom’s new Ai Noise reduction?
In today’s video I’ll show you how to use it and give it punishing comparison tests. Lightroom already beat Capture One in my Lightroom vs Capture one Noise and Worms testing. But for photos you need something extra on. This new button is more amazing than I expected. I’ll show you in the video below.
You can get the new Street’ist presets I mentioned in todays video. And you can also download the Free Filmist presets pack to see the grain technique in action. They work perfect to finish up after Ai noise reduction.
At this point we have to start asking how much noise even matters.
The early days if digital left us with lots of noise and artifacts that recent Noise tools and better sensors have mostly brought it up to the detail level that we had in film.
With the improvement this year from Ai noise tools like this, you have to ask how much ISO and noise even matters. You can clean it up so well it’s almost too clean, and adding in a little organic grain like I do in most of my edits is more important than ever.
Even on this old 5D MK2 file at ISO 25000, Lightrooms Ai noise using the settings I show in the video completely transformed it like no noise tool I’ve ever used.
ON this S21 Ultra RAW file there was not much noise but the Lightroom Ai Noise process still improved the detail in a way that amazing me. I’ll show you the side by side in the video.
This is the start of big changes in how we edit.
I predict that very soon these Ai editing tools will nor be long processing steps but just part of the system like any other slider. They will keep getting better and as photographer we need to focus on the value of using them but also keeping photos real.
In the end I think this tool is game changing and I hope we see more Ai tool’s make make our real images better rather than a focus on Ai tools making photos that are not real photos.\
Gavin Seim