I’ve been reading along on RGB vs. High-CRI light sources to scan negatives and am still a bit puzzled if having a good RGB light would be more beneficial than CRI95 or CRI99.
Would you mind to shed some light into the current situation and let me know if it’s worth building a RGB light at all? Highend commercial products, such as the Phase One Capture Table or DT Photon both rely on High-CRI light sources, while lab scanners (e.g. Fuji Frontier SP-3000) use RGB light. The main difference is surely that Phase One and DT both use digital camera backs while the Frontier operates through means of trichromatic film scanning.
I found RGB LEDs which operate in the spectrum of the Fuji Frontier, so …… is it worth it?
I’ve read the thread before posting and it also didn’t give me a definitive answer. I’ve also seen the tests you made @Richard1Karash (quite impressive).
I guess a lot depends on the inner workings of NLP and how it deals with camera RAW data and if RGB light sources would be specifically supported going forward. That’s something only @nate really could answer.
Went ahead and scanned two of my last negatives with both 99CRI and RGB light sources (the latter done with a recent iPad Pro). Same settings for scanning, white-balance set as needed. NLP settings identical (except WB).
Some thoughts on the photos:
Both negatives have been overexposed
Very much expected to have cyan-ish sky colours with Portra 400
Greens are definitetly clearer with RGB scans / They look a bit yellow-ish with 99CRI
Generally more vibrant colors (and more saturated) with RGB scans, confirming @Richard1Karash findings
Not sure I can draw massive conclusions from just two negatives, but it’s worth exploring more into RGB light sources and feed the nerd in me.
Red is also something that I found is affected. Overall it doesn’t seem to make much difference for camera scanning and NLP 2.3 if a high CRI or RGB light is used, except for the reds.
Though I’m a bit surprised this is the case, as presumably the wavelength for reds should be broader with high CRI lights vs. the narrow band with RGB light sources.
Could this be related to something inside NLP?
In a very unscientific approach to see differences I’ve taken existing photos (scanned with a Fuji Frontier), inverted the RGB curves and re-processed these through NLP as TIFFs. The expected output (to me) would be to see the (almost) same image as before. Everything looked right, except the reds.
Would this be the Negative Lab Pro Facebook page? I don’t really ‘do’ Facebook but in a moment of weakness I did apply to join that private group but never received a reply. I just wanted to ask if you profile these shots using the Colorchecker and if so how that affects the colours, have these two been profiled in fact?
In case it helps anyone, I went to have another go at applying for access to the NLP Facebook group and found that I had access, so my problem was just that for some reason I didn’t receive the notification. I suppose that if I was a regular FB user I would have discovered this sooner but really I never go on.