- Joined
- May 26, 2018
- Messages
- 366
What's more, is that to get NLP I also had to install Windows, as I'm a Linux user. NLP is **that** good.
My question is more directed towards LR & PS post production from a converted B&W negative. I want to learn some different techniques. Can I follow the info that I find for converting color negs to B&W images? Would the same actions work for the steps AFTER the color neg becomes a B&W file? This is assuming that both my b&W converted RGB file is the same as a color neg converted to a B&W RGB file. I think I’m getting closer to explaining my question. Thanks. I don’t want to hijack the thread, but an understanding of a converted color neg vs. a B&W converted neg may be helpful to others as well.
For B&W, I think there is no advantage to NLP. For color negatives, when I compared NLP to what I could get with PS actions, I decided to just stick with PS. Depends on your comfort with PS. I am now scanning with a camera, and my B&W PS action is pretty similar to what I used with a scanner. Some settings are different but still a combination of levels and curves layers for large adjustments, and a few highlight/shadow specific adjustment layers with luminosity masks. I have been doing the actual inversion in ACR, as I can quickly make a ‘contact sheet’ by just exporting downscaled images right from ACR.
Note, I’ve only played with the NLP demo. Seems nice and if you use LR Classic and it appeals to you, it’s a good package.
Thanks for the explanations.There’s inversion and then there is negating the color mask, and finally color correction. All can be done with varying degrees of success in raw development or PS. I find for color neg, negating the color mask (if the scan is a camera ‘scan’) is best done in the raw developer (math reasons - linear color space). I got good results with inverting the image in both the raw developer and PS. The final color correction I prefer to do in PS. It should be possible to do it in a raw developer, it’s just that I don’t fine the tools to be optimized for it. For example, when you invert in ACR, the highlight and shadow slider work on shadows and highlights.
I could package up my actions, but they are not necessarily streamlined. I’ll have to clean them up a bit.
For B&W it really is easier. Invert, do some curves, dodge and burn. There are multiple ways to do all of the contrast manipulations.
Thanks for the explanations.
Phil
I have now installed the trial versions of PhotoLine and ColorPerfect on my Linux machine. Installation was rather simple, and the two cooperate just fine (OK, PhotoLine's help does not work).If I have a bit of time I should create a thread with details and screenshots, for running NLP and Color Perfect on Linux and FreeBSD.
I have now installed the trial versions of PhotoLine and ColorPerfect on my Linux machine. Installation was rather simple, and the two cooperate just fine (OK, PhotoLine's help does not work).
I tested them with my color negatives from the 1970's (Fuji/Kodak/Agfa). I was curious to see whether this combination (~140€) would work better than my previous negfix8+ImageMagick (0€) solution. Yes, it did, but... Not by much. Both do well on Fuji. PLCP does better on Kodak, but not always – it fails on some specimens, just like nf8IM. Agfa is similar in that nf8IM fails almost always, but PLCP doesn't, always.
The problem now is that these were old films, and I can't be certain that the results hold for current (fresh) ones. Then again, I don't have any current and fresh ones, have I? I guess I'll just try to shoot and develop some...
I was curious to see whether this combination (~140€) would work better than my previous negfix8+ImageMagick (0€) solution.
Yes, it does as I mentioned "...unless you take further steps..." But the problem with that is this: a RAW file from the camera I use to copy film is 33.5MB. But if I convert it to a NLP positive (as a 16-bit TIFF), the resulting new file is about 90MB. And that is in addition to the original RAW file. Plus, now I have two copies of the same file on my hard drive, unless I delete the origional RAW. Several alternatives, but none are particularly attractive to me.NLP allows you to create an inverted positive which you can continue to tweak in Lightroom. Speaking of B&W, I am actually starting to use NLP for that too, because it saves me time. I would suggest "Gamma" inversion profile, followed by a slight brightness adjustment and quick click on "soft highlights" to see if there's improvement. 99% of the time this gives me the look I want.
@Old GreggNLP allows you to create an inverted positive which you can continue to tweak in Lightroom. Speaking of B&W, I am actually starting to use NLP for that too, because it saves me time. I would suggest "Gamma" inversion profile, followed by a slight brightness adjustment and quick click on "soft highlights" to see if there's improvement. 99% of the time this gives me the look I want.
+1I will definitely package up a B&W action with a write up to share this weekend. I’ll try to do the color neg too. I can’t claim my method is superior, good, or not convoluted. But maybe it is useful to someone.
@Old Gregg
Using NLP with Lightroom, how much effort was it for you to deal with the "work backwards" sliders?
For me, that's a major, major issue with adopting NLP to deal with scanned images, so now I'm inclined to learn about PS tools for doing inversions for both B&W and color.
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