Meanwhile, I’m mostly happy with the results that I obtain with darktable 3.4.1 for low-ISO images. This is unfortunately not yet true for very noisy images. I read a lot on the web and watched videos on the topic, but I’m still struggling to obtain results that are as good as the ones of the camera’s JPEG engine. (And actually I would hope to obtain better ones…)
Is it that I’m missing something?
As a demonstration, here is a low-light still life of a bread that I baked:
bread.orf (20.7 MB)
The above jpeg file was developed in-camera with +1 EV exposure compensation.
Here is a detail of the ooc jpeg:
Here is the best that I can achieve in darktable, bread.orf.xmp (8.0 KB):
This uses denoise (profiled) wavelet auto mode set to strength 3.0. I find the denoising quite effective for chroma noise, but in my opinion there is too much luminance noise left, and what’s more, that “grain” is significantly coarser than in the ooc jpeg. Is there a way to improve on this?
And here is the result of using the “non-local means auto” mode of denoise (profiled):
Grain is OK here, but there are low-frequency colored (yellowish or purple) patches all over the place that I find rather disturbing. I played with all the non-local means non-auto sliders, but did not succeed to remove these.
Thanks in advance for any suggestions!
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