Hello! Apologies if this has been addressed somewhere else, I couldn’t find any information on it.
I’ve noticed that NLP changes the settings in the “Calibration” tab at the bottom of the develop panel, and was wondering why it does that/what the purpose is. I know what the calibration tab is for in general, but I’m confused about how NLP works to set those values. I’ve played with the settings on a couple of my scans and noticed that I tend to like less green saturation than what NLP sets.
Camera: Canon 6D
Lens: Canon 100mm 2.8 macro
it sounds like it’s picking the NLP camera profile, which changes settings underneath or before camera raw conversion settings, i imagine someone else can explain better, just wanted to respond since no one has yet
The settings applied by NLP depend on which Color Model you select.
The values are left at their default (zero) values unless Noritsu and Frontier are used.
Then, the values are set like this:
- I often use the Basic colour model and find that it gives me well balanced images too.
- Different negatives need different colour model settings in order to produce
the results close to what I want them to be.