NLP v3.0.2
Camera: Fuji GFX 100S
Lens: Pentax 120 F4
Tethering: Fujifilm Tether App
Light: Raleno 192 Video Light
F5.6
SS 1/10th
ISO 100
EV +0.7
Manual Focus
Hi everyone,
I’ve recently been experimenting with the Roll Analysis feature in Negative Lab Pro, and while it seems promising, I’ve run into some color consistency issues.
What I’ve noticed is that the first few images on the roll often look great after conversion, but as I move further down the strip, the colors start to get weird—funky tones, unnatural tints, etc. After some trial and error, I suspect this might be because the lighting conditions varied significantly across the roll.
For example:
- First third of the roll: shot on a sunny day
- Second third: cloudy/misty light
- Final third: nighttime or artificial lighting
If I run Roll Analysis across the whole roll, it seems like NLP assumes a uniform lighting scenario, which doesn’t match reality. This makes me wonder:
- Does Roll Analysis work best only when the lighting is consistent across the roll?
- Is the algorithm applying some kind of shared baseline that breaks when the scenes vary too much?
- Should I be avoiding Roll Analysis in mixed-light situations and just convert each frame individually?
For now, I feel like I get better results doing individual conversions, even if it’s more time-consuming. Curious to hear if others have experienced this too, and if there are any best practices for handling mixed-light rolls.
Thanks in advance!