Snow and Mountain colour shifts - DSLR scans

Hi Everyone, I am new to this community but I have been using NLP (v3.0.2) for about a year now and I am still finding it extremely inconsistent and infuriating and I have come here for some advise.

The majority of my work is done in the mountains so I tend to have a lot of bright elements to my photos (often snow or harsh lighting) and also a lot of blue skies to deal with. But even when the lighting and composition are more simple I still have trouble getting accurate colours. I have actually had a lot better luck with the Filmlab software, but I find that program often leaves the images looking a lot more flat and. I would definitely prefer to use NLP.

I have tried tricks like leaving some of the boarders un cooped before conversion and cropping in close on things that are not snow. But I still find I have to do a huge amount of colour correcting

I use a sony a7r5 with sigma 70mm macro and the new valoi easy 120.

Here are a couple of conversions to illustrate my problem and a link to the scans:

Thanks for all your help

Sometimes, it helps to pick WB not from the unexposed film base, but from a thin part of the negative image.


From left: JPEG, Basic, Frontier, Basic, Noritsu, Basic; Pre-Saturation value = 1,2,3,4,5
No further editing was done.

Thanks! Do you think it would be worth trying to over expose more when I am scanning with my camera. I know that these images were exposed correctly but they seem under exposed to me

I think it is best if you simply try with different exposures in order to see how things behave.
You’ll see that NLP is fairly tolerant with different exposures and will deliver very similar starting points, unless the negatives are very thin. And again, NLP gets you something that you can (and often need to) work with. Use the sliders on NLP’s second tab to adjust tonalities to your liking.

Beware: Settings that work with (a set of) images of one kind might be useless for a different set of images. So again, use the starting point and continue from there. No silver bullets here :man_shrugging: