This question straddles the two realms of fully analogue and hybrid film photography and I'm not sure where to post it - so please mods move as appropriate.
I have been experimenting a lot with medium format colour negative film as of late. I am mostly a black and white photographer and I exclusively scan my negatives, and I had never been really happy with the colours I got from my scanned C41 negatives until recently.
I had experimented with a number of methods:
So I was really after a method that does most of the work, leaving me with minor final adjustments (resize, crop, set black point, save to jpg). I couldn't find it. I was about to slowly move away from C41 and shoot more black and white and slide film when I decided, for fun, to install a really old, unsupported bit of software for my main dedicated film scanner (a Coolscan 8000ED): Nikonscan 4.0.3. It was very easy to install on my Windows 10 64bit machine and it runs surprisingly well. I decided to delve a bit deeper and rescan some of my C41 negatives.
I was astounded by what I was getting. Rich, beautiful colours that look 'right' to me. The results from even a completely automated C41 scan session with Nikonscan are - to my eyes - leaps and bound better than what I was getting before. It's hard to describe, and I will be posting some side by side samples when I have the time. For 90% of the negatives I've thrown at it (Gold, Fuji 400H, Ektar), I have been happy with the automated scan and done close to nothing in post-processing. Bliss.
As a side note - for those of you who attended the William Eggleston exhibition in Berlin, Germany, a few months ago, you will know exactly what kind of colour I'm talking about: not tacky, not oversaturated, not desaturated, but just 'right' - alive. The good news is, for those of you scanning, you can get those colours from simple, widely available C41 colour film with a proprietary Nikonscan inversion.
So after this preamble here's my question. I have been trying to gather more info about exactly what is the Nikonscan algorithm doing under the hood. I visited several film scanning communities asking for opinions on what I saw, and finding many other Coolscan users agreed with me and my observations. Many mentioned the Nikonscan code is sadly closed source and there should be a concerted effort to reverse engineer it and make it open source to save it. I agree it would be a pity to lose the capability to obtain these phenomenal results - again fully automated results - with close to no intervention on the user's side.
One comment, by a couple of users on the facebook Coolscan community - really caught my attention: these people mentioned that the tool was engineered to produce a result that closely matches the colour response of C41 film onto RA4 paper - as most film for the past decades had been designed to perform optimally on RA4 paper.
Do people have more info on this? Does the Nikonscan output looks good because it mimics RA4 paper response? Is it possible to design an algorithm to match or approximate RA4 paper? If the answer is yes, what are the characteristics of RA4 papers that are crucial in this context and that e.g. NLP and Filmomat are not accounting for?
I have been experimenting a lot with medium format colour negative film as of late. I am mostly a black and white photographer and I exclusively scan my negatives, and I had never been really happy with the colours I got from my scanned C41 negatives until recently.
I had experimented with a number of methods:
- Vuescan
- Vuescan 'advanced workflow'
- Vuescan Raw + Colourperfect plugin
- Vuescan Raw + NLP
- Vuescan Raw + Filmomat
So I was really after a method that does most of the work, leaving me with minor final adjustments (resize, crop, set black point, save to jpg). I couldn't find it. I was about to slowly move away from C41 and shoot more black and white and slide film when I decided, for fun, to install a really old, unsupported bit of software for my main dedicated film scanner (a Coolscan 8000ED): Nikonscan 4.0.3. It was very easy to install on my Windows 10 64bit machine and it runs surprisingly well. I decided to delve a bit deeper and rescan some of my C41 negatives.
I was astounded by what I was getting. Rich, beautiful colours that look 'right' to me. The results from even a completely automated C41 scan session with Nikonscan are - to my eyes - leaps and bound better than what I was getting before. It's hard to describe, and I will be posting some side by side samples when I have the time. For 90% of the negatives I've thrown at it (Gold, Fuji 400H, Ektar), I have been happy with the automated scan and done close to nothing in post-processing. Bliss.
As a side note - for those of you who attended the William Eggleston exhibition in Berlin, Germany, a few months ago, you will know exactly what kind of colour I'm talking about: not tacky, not oversaturated, not desaturated, but just 'right' - alive. The good news is, for those of you scanning, you can get those colours from simple, widely available C41 colour film with a proprietary Nikonscan inversion.
So after this preamble here's my question. I have been trying to gather more info about exactly what is the Nikonscan algorithm doing under the hood. I visited several film scanning communities asking for opinions on what I saw, and finding many other Coolscan users agreed with me and my observations. Many mentioned the Nikonscan code is sadly closed source and there should be a concerted effort to reverse engineer it and make it open source to save it. I agree it would be a pity to lose the capability to obtain these phenomenal results - again fully automated results - with close to no intervention on the user's side.
One comment, by a couple of users on the facebook Coolscan community - really caught my attention: these people mentioned that the tool was engineered to produce a result that closely matches the colour response of C41 film onto RA4 paper - as most film for the past decades had been designed to perform optimally on RA4 paper.
Do people have more info on this? Does the Nikonscan output looks good because it mimics RA4 paper response? Is it possible to design an algorithm to match or approximate RA4 paper? If the answer is yes, what are the characteristics of RA4 papers that are crucial in this context and that e.g. NLP and Filmomat are not accounting for?
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