However...I consider this a red herring and I'd suggest just twisting some curves until you're happy with what you get. Ignore the whole RA4 paper thing. If you're scanning film, you're working with an abstraction of the actual negative, so you're never actually getting what the paper 'sees', and trying to approximate that will turn out to be a philosophical black hole and you'll run aground in metaphysical musings about the nature of reality and digital abstractions thereof. It's a dead-end street.
That, and saturation tends to be high (which I think is part of what you like, given the Egglestone reference).
I don't think it's a matter of saturation only, as stated in my post. I could easily achieve 'more saturation' by pushing a photoshop slider on any image, whether scanned or from a digital camera. There's more at play here. Perhaps selective saturation models based on visual-perceptual evaluation. Not sure yet.
I'd be more inclined that if you think Nikon got it "just" right in Nikon Scan (+ their scanner HW), it's pure coincidence.
If they knew they had something special developed and baked into Nikon Scan, I think at least someone in Nikon would come to the idea to use that in their digital cameras' jpg engines. Alas...
I would tend to agree. While I have achieved good results with ColorPerfect from my Coolscan 9000 raw linear tiff file inputs, the ability of NikonScan to produce good results automatically does seem to indicate a distinct approach. I do intend to make some more practical evaluations of results in the future.
- Vuescan Raw + Colourperfect plugin
- Vuescan Raw + NLP
- Vuescan Raw + Filmomat
Does ColourPerfect generally give you the best results out of these three?
I sometimes find CP becomes confused by certain negatives, although doesn't overcorrect to neutrality like the Filmomat software.
The difference between these two is so minor as to be largely insignificant. You’d get more of a difference from looking at them on two different screens or by having them printed optically by two different technicians.
Also you say you’re color blind. So you can’t distinguish something like a third of the color information in a given image so if you say one way looks better than the other then that’s fine for your purposes but I wouldn’t use that as the basis for a hypothesis for use in further inquiry on the matter.
My issue with Nikonscan is handling of highlights/white point. In my use cases, it continually clips data, unless I bring down exposure significantly, which then clips the blacks.
You can see in that screenshot how much higher the white point is in the Nikonscan version.
Absolutely agree. This is the Achille's Heel of Nikonscan. Highlight clipping is what leads me to go for another method in case of extremely high contrast negatives. If you have workarounds for this, I'd be all ears. I haven't found a way, so I just fall back to Colourperfect for those cases (about 10% of my output IME).
There is also a distinct difference in curve shape, with NikonScan emphasizing esp. mid-tone contrast more in both images and also exhibiting higher saturation.
One thing that I found with both Nikon Scan and Flexcolor, however, was that, even though they both did pretty well at inverting color negatives with just some auto settings applied, I could still get observably better color inversions scanning as positives (.TIF) and inverting in NLP. The key factor is that you have to turn off color management in both software packages (i.e., turn off all embedding and converting of the .TIFs to an .ICC profile). This "trick" doesn't seem to get stressed enough in the NLP forums, presumably because most people are scanning in some kind of raw format (which I'm assuming doesn't embed an .ICC profile?). Once I discovered that trick, my color inversions in NLP (acquired through Nikon Scan and Flexcolor) improved dramatically.
If you haven't tried doing this in Nikon Scan, it's definitely worth experimenting with and revisiting in NLP.
I had experimented with a number of methods:
- Vuescan
- Vuescan 'advanced workflow'
- Vuescan Raw + Colourperfect plugin
- Vuescan Raw + NLP
- Vuescan Raw + Filmomat
Would be nice to see your results with all these methods! Otherwise it's hard to comment on your conclusions, except perhaps to point out that all of these methods have one common denominator - Vuescan. Maybe it introduces something undesirable into the scans? I have never used Vuescan myself.
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