Anyone have SSF Data for the A7III?

Processing
13

This is another thread necro on a topic related to my last one, but I’ve made progress in doing exactly this:

Right now I extrapolate the log data past the ends of each curve, which seems to work well. I’m getting GREAT results with RT’s film negative inversion tool combined with the technique discussed in Digitizing film using DSLR and RGB LED lights - #31 by Entropy512

Unfortunately WebPhotoDigitizer has a minor deficiency in which it does not put the dataset name in each column in the header, which makes Pandas unhappy. A bit of manual massaging fixes that by duplicating the dataset name in the empty columns.

For example, WebPhotoDigitizer will have a header like this:


Red,,Green,,Blue,
X,Y,X,Y,X,Y
562.9903923138511,0.3358401701610453,463.2494579194191,-0.2566037735849056,401.41445212041754,0.9679245283018867

It needs to look like this:

Red,Red,Green,Green,Blue,Blue
X,Y,X,Y,X,Y
562.9903923138511,0.3358401701610453,463.2494579194191,-0.2566037735849056,401.41445212041754,0.9679245283018867

I’ve created profiles for Fuji Superia Xtra 400 (seems to be a decent match to my ancient Fuji S-400 film from 25 years ago…) and Kodak Gold 200 (seems to work well when applied to 25 year old negatives of Gold 400) as Fuji and Kodak publish datasheets for those with spectra. They work GREAT with RT’s film negative tool under the following conditions:

  • Capture technique described in the other thread linked above (separate red, green, and blue captures backlight with monochromatic LEDs)
  • Set the camera input profile to a DCP generated from film SSF data (since the camera’s own SSF is completely eliminated by the above technique)
  • Set the film negative tool to work in the input profile, not the working profile
1 Like