NLP has a “Border Buffer”, which tells NLP to ignore the image borders.
- If border buffer is set to 0, then the film rebate should be cropped off.
→ we can always un-crop the converted image - If images have not been cropped, border buffer should be set to >0.
If the original negatives have greatly overexposed areas, conversions can be improved if the overexposed areas are cropped off. See this post for more. Beware to not crop in a way that changes the mix of colours too much because it can change results.
Upper row: Artificial image, negative and versions with crop and conversion
Lower row: Uncropped versions of the images above
We can see differences in the results depending on how I cropped the images.
Nevertheless, NLP does a fairly good job under these conditions. Thanks, @nate.