Thanks, Roman. Will comply as instructed.
Here is an example (zoom 100%):
Original:
instance 0; wavelet; 100%; strength 1; on the color:
first one plus
instance 1; wavelet; 50%; strength 1; on the lightness:
first two plus
instance 2; non-local means; 50%; strength 1; on the averaging:
Uhmmmmm! The result is lovely! Where did you learn to do that?
Here: https://youtu.be/4nBzAeM0tpI I think the author of the video found the info in the searchable email archive: darktable-dev
RAW of that particular picture I sent you the cropped area of as well as its darktable XMP file are posted here:
You can play with the denoise profiled instances and see how they work.
Really nice results, I have a new noise reduction preset
@Andrius Tried your method today and the results are amazing, even though I had no dedicated camera profile and used generic poissonian preset instead. Excuse the hastily applied mask to focus on the sky, but the results speak for themself!!!
@mosaster I am glad it worked for you.
I wish I could take a credit for this but I just copied somebodyâs method.
I guess darktable devs have done a great job
To smoothen out, I like to put an instance on top of the stack using average blending, which just gives it the final touch.
âŚaaaand of course, YMMV.
I saved the three instances as a darktable style and uploaded it here:
https://redmine.darktable.org/attachments/download/3411/denoise%20profiled%20stack.dtstyle
Wow, that worked great for me // saved them as presets // used them on other images that I was having trouble with and so far, really good results.
Thanks for the NR presets. Iâd modify them according to what houz suggests in this text:
âFor profiled denoising better use âHSV colorâ instead of âcolorâ and âHSV lightnessâ instead of âlightnessââ.
Thank you for the comment.
I followed the link and finally got here:
http://darktable.org/usermanual/ch03s02s06.html.php
I am wondering what âclampingâ is
Thank you afre
This is awesome!
My only real issue with DT was terrible noise reduction. Turns out it was just me being ignorant and didnât understand the tool.
Thank god for that lol, I can now ditch Lightroom with confidence.
Some time ago I profiled my Fujifilm X-Pro 2 in accordance with the dt procedure and was surprised at the good (excellent) results obtained.
When I use either the â2-stepâ or the â3-stepâ (mentioned above ) option I see absolutely no difference from that produced from my single step usage.
Possibly it is my camera or the individual profiling ⌠but I do like my simple results.
Probably I should have also mentioned ⌠the X-Pro 2 is already well corrected for noise at ISO 800 by Fujifilm. Noise at that setting is not so different from the base200 setting. I do use that ISO 800 setting for 95% of all my imagery.
A sidenote here : there is no such thing as chroma or luma or colour noise. Itâs just noise. How it looks, once it enters our perceptual system, doesnât change what it is : garbled data on RGB channels.
Similarly, the denoise profile module in darktable doesnât know any colour or luminance since it operates in camera RGB. That camera RGB has nothing to do with our perceptual system, and will need to meet a colour profile to be remapped to XYZ and then to well-behaved RGB spaces, where chrominance and luminance have a meaning.
Blending the denoise profile in lightness or colour is therefore a theoritical mistake since these are Lab modes. HSV lightness or colour are equally wrong since the conversion RGB â HSV assumes well-behaved RGB spaces, while the camera RGB can be absolutely whatever.
The last changes in denoise profile module (in future darktable 3.0) should make these blending modes irrelevant, since they essentially hide misbehaviours of the denoising algo.
@mosaster Knock yourself outâŚall the info you should likely need here⌠Noise reduction in Darktable - Tomas Sobek Photography