Both mine conversions and that of other people on the internet prominently render red color as ‘raspberry’ one, very far from reality. I’m attaching the example from Fuji Pro 400H film (first image). I use Nikon D750 with iPad Pro as backlight (masked with black paper insert), NLP 2.1.2, LR Classic 9.1. I know the scene contained red, not this false color. Also I know the raw file internally contains the ‘correct’ red because:
- other software (Silverfast HDR) obtains correct red from the same source file (however, SF has its own share of quirks so I would prefer to use NLP),
- when I export NLP image to TIFF positive and then edit HSL red Hue/Saturation, I’m able to get it right - see the second image. But this is far from optimal since TIFF is 3x the size of the original raw file.
I use Basic NLP profile and Standard mapping with Presaturation 3 (and other values make it worse…). All NLP sliders are set in a way to render the whole image as most realistic. There is no combination in NLP settings alone that corrects this tint, I can correct it only via tiff export
Is it possible to address this somehow? I’ve bought NLP as I saw it’s promising but this thing is really troublesome, it ruins some photos. Similar thing is with orange autumn leaves.
Really hoping it can be fixed, thanks!
NLP + TIFF Export edit: