Got a conversion workflow question.
I tend to get mixed results when converting cropped negatives, vs a whole strip of film.
Is it a good idea to convert a whole strip of negative at a time, and include the negative space between exposures? or perhaps is it better to include some of the border in the cropped version before conversion?
I think this user is experiencing the same thing as me:
I find that with individually-cropped negatives, NLP can sometimes get a little heavy-handed in the conversion, and give me extremely saturated colors, weird white balances, blown-out highlights, or crushed darks.
When converting multiple negatives, the conversion tends to give me more accurate and neutral colors/tones. However, the results tends to look under-exposed. I assume that’s because it’s taking the blank space between the exposed parts of the negative into account in the conversion process.
Additionally, I find that individually-converting images from a single shooting session (with similar lighting conditions, camera settings, etc.), or even syncing the scene, might give me different results, so I opt for converting a whole strip at a time so I can get a little more consistency, albeit with the aforementioned under-exposure as a result.
Any thoughts on this? Are there any best practices for the conversion process? Am I doing something wrong, or is this pretty normal?