It looks like Silkypix basically improved their denoising to show more fine details in the image. I’m not sure if they’re using “Fine Detail” as a marketing name for the module or if they’re just showing that their denoise algorithm preserves fine details more.
It’s basically similar to how darktable improved denoising in the latest major release.
If you want to preserve details as much as possible, I’d suggest increasing “central pixel weight (details)” and “preserve shadows”. (Playing with “patch size” can also affect denoising versus details too.) The values really depend on the photo.
To use “denoise (profiled)” in darktable, you need to use it on a raw image from a supported camera. Thankfully, the X-T1 is a supported camera (I have one and have many photos taken with it that work perfectly in darktable), so you don’t need to worry about that.
In darktable, you can also selectively apply the denoising. If it’s too strong, you can fade it out to something like 70% to mostly denoise, but blend some noise back in. (Noise isn’t necessarily a bad thing.) You can also use drawn masks or parametric masks to denoise some parts of the image more aggressively and other parts not-so-much (or not at all). This especially works well when feathering the mask.
Here’s a video on the improved “denoise (profiled)” module in darktable 3.0:
And a thread on the improved module:
(I don’t like most of the same images, as they’re showing poor quality images and agressive denoising. But that’s to show what can be done with a challange, I guess? The forest scenes are better, and I’ve seen amazing results from the “denoise (profiled)” with a lot of my higher ISO photos.)
Of course, the best way to have minimum noise in a photo is to shoot with proper exposure at the lowest ISO you can. (It’s often not possible, of course. And we all forget to adjust the ISO sometimes too.) But shooting with a low ISO and underexposing will also cause higher noise as well, as increasing the ISO is often basically same as boosting underexposed images in modern cameras. Thankfully, we have great denoising available for the times our images do have noise.
their “sharp” denoise looks more like nlmeans while the other looks more like wavelets. the sharp mode seems more like the piecewise constant prior. sometimes works well, sometimes not so much. not sure i find it revolutionary. looks very well done though.
the multi-image composite looks great, why don’t we have it.