michael.panoff said:
I'm curious about your vuescan settings / workflow for B&W. Anyone care to share. Please indicate what scanner you are using.
Hi,
I do b&w scanning of complete rolls using Vuescan on a Microtek Filmscan 3600. I limit myself to unattended options. After some experiments, I found that most of the auto-functions don't improve the result enough to account for the extra scanning time they take.
This is a summary of what I use (by heart):
- manual exposure ('2' suits me fine, but that value may be scanner-dependent, I guess)
- fixed cropping (I use 35mm slide, since it's a bit smaller than 35mm negative, so It doesn't cause black borders; I don't mind to loose a small edge of the picture)
- fixed focus (I use to manually focus once before starting the roll)
- single pass (not only because it's faster, but I didn't see any quality gain in multiple pass)
- no post-processing what-so-ever
- 16 bit grayscale raw output
I'm doing some low-level programmed post-processing myself, but if you're not in to that sort of stuff, the best approach would be to load the raw file into photoshop (my version of the GIMP doesn't do 16 bit---a real pity!) and use the curves tool.
1. Drag the left bottom point of the curve to the top and move it to the right until it aligns with the start of your histogram
2. drag the right top point of the curve to the bottom and move it to the left until if aligns with the end of your histogram
The result is now a positive, and dynamic range of the input data is mapped to the full dynamic range of the output. But the contrast is totally wrong. That's because you're working with linear pixel data, while the actual 'brightness information' it's representing, is logarithmic.
3. click somewhere in the middle of the curve to create an extra point and drag that down. The line becomes a curve. By moving it up and down and right and left, and looking at the preview, the optimum result will be easily found.
This way, you don't need gamma at all!
Groeten,
Vic
A related question:
It may be nothing, but often when performing this procedure, I noticed that the histogram itself shows at least on part of it's range, a curved downward slope. When I apply the steps 1-2-3 as described above, the curve's optimum position tends to approach the histogram's curve very close! Can this be explained, or is it just coincidence? If so, this might be a useful property which can be used to automate post-processing!