Looking forward to seeing your take on this one!
Among other stuff, I used the new color EQ (in darktable 4.7.0+543~g7f31698655) to make it closer to a two-tone image, just blue and brown/orange.
Taken with my Nokia X30 smartphone.
IMG_20240318_172121.dng (23.9 MB)
IMG_20240318_172121.dng.xmp (22.2 KB)
This file is licensed Creative Commons, By-Attribution, Share-Alike.
Gosh, that’s interesting, Paul! Feels almost Polaroid-like.
I’m not familiar with Photoflow either… will need to look into it.
I’ve been experimenting with a Polaroid/film look recently. Its mostly AgX plus a few colour correction nodes.
It’s good. So is the Photoflow project active? At a glance (all I’ve done so far as multi tasking) the Github page looks a bit quiet.
That’s nice. Did you enable the dng gainmap on this one? I feel like there’s a bit of colour shift towards the edges of the frame which is nice actually, but it looks a bit like the uncorrected characteristics of this phone.
I don’t think the Photoflow project is active any more - the last commit on the github was 4 years ago. I’m using it because I can customise the processing pipeline heavily (and it supports V4 ICC profiles in floating point mode so I can experimient with scene referrred stuff). It crashes a lot and has some bugs around masking (sometimes you have to regenerate the masks otherwise they are just strange).
I think you should be able to get similar results using Sigmoid (you need per-channel mode without any fancy ‘preserve chromaticity’ stuff).
Thanks for the info on Photo flow. I wonder why it was discontinued? Interesting stuff.
I was thinking Sigmoid should do it… I might try reproducing it sometime.
Oh right, I keep forgetting to enable that because it’s buried under flat field settings
Thanks for sharing this photo.
Two plays in GIMP. I used my luminosity mask plug-in to increase contrast, particularly in the mid-range and then a small increase in saturation for the mid-saturation range.
For the second image I attempted to reduce the vignetting, however I think this reduces the impact of the image!
My gut says to do something like @Popanz. So, for something completely (?) different:
