DT 3.2.1: defringe does the trick
2020-10-21 143521-1629.cr2.xmp (11,1 KB)
EDIT: probably you prefer this version (same as before, with an adjustment in filmic for the highlights)
2020-10-21 143521-1629.cr2.xmp (12,0 KB)
2020-10-21 143521-1629.cr2.xmp (11,1 KB)
2020-10-21 143521-1629.cr2.xmp (12,0 KB)
Working from @Thanatomanic pp3 all fringes in the mask are now gone (mostly), but some saturation in reds is lost. And I haven’t able to completely remove the remaining purple tint around the eyes:
2020-10-21 143521-1629.jpg.out.pp3 (13.4 KB)
Hi @BorisRabit,
If you have access to darktable, set input color profile to linear Rec709 RGB.
As I see this, it is a question about saturation & proper color profile.
I have a similar dilemma with our neighbour’s hedge, having the most electric red leaves I have ever seen. I have tested an X-trans camera, an old Canon EOS – but the **** leaves still are too electric. Is it because of my monitor? Is it because of my development habits? No. It’s because I have not yet learnt how to treat color profiles properly. Grumpf.
Have fun!
Claes in Lund, Sweden
This helps me understand a little more of what I’m seeing, thank you. I saw as people have pointed out it’s really only his face and hand that are over exposed, but somehow I was thinking the problem with the red jacket was the same. You’d think with as many threads as I’ve read recently about a project to assemble devices for creating hyper accurate input color profiles, the light bulb would have flickered when I saw what was happening, but I needed a hint.
Thank you all for your very quick and helpful responses. When I can get back to my computer, I’ll start examining your examples.
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Here’s my attempt, thanks for sharing! (disclaimer: I’m not 100% sure about the result because I’m on a bad screen at the moment…)
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Thank you, looks nice. Could I see your sidecar too?
It’s embedded in the jpg
smacks forehead
Thank you.
With Filmulator.
I notice that only the green channel is clipped, so we’re safe to use highlight recovery with just about full effectiveness:
Besides the crop, I used…
- Highlight Recovery 2
- Exposure Compensation -1.33
- Film Area 9547.5 to reduce the radii, thus darkening the overexposed patches on the face more
- Drama 100
- White Clipping Point 0.604
I’ve also tried Filmulator, simply with the defaults and with +2/3 EV added (I prefer my pictures brighter). Every time I fire it up, it’s just magic. This is a really amazing piece of software!
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And my attempt with darktable. I’m not happy about the hand, the rest is tolerable.
2020-10-21 143521-1629.cr2.xmp (21.1 KB)
Here is my take on this:
[I have replaced the png, sorry for that…]
It was done with darktable 3.3.0-1259 2020-10-21 143521-1629.cr2.xmp (14,0 KB)
defringing in darktable definitely helps. Its definitely too hot though.
2020-10-21 143521-1629.cr2.xmp (93.3 KB)
What tool did you use? Could you please post the sidecar (or settings, if there’s no sidecar)?
In the first one I used a lut I made a while ago but I made this edit in Darktable, it’s pretty much the same thing (if only a bit magenta but it was a very fast edit):
2020-10-21 143521-1629_03.cr2.xmp (19.8 KB)
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I’ve tried loading the history into darktable from the JPG I downloaded, but it just gives me the default history stack.
But then exiftool -a -u -g1 -ee -api RequestAll=3 *embed*jpg showed that it’s actually an ART image; I didn’t know ART would also embed the history, so made the wrong assumption. 
Graduated filter in RT from left to right, balances the background and affirms the precise focus and depth, I wouldn’t crop it the shadow behind achieves background separation successfully. RT colour temp was chosen as a sampled from the boy’s trousers, I’m not a fan of pumped up colours and since red draws the eye regardless I think the primary concern should be highlight reconstruction on the face.
Only thing I would do is put it through gimp to dodge the eyes to be lighter and possibly burn the hand a little. The fringing around the mask is an irrelevance when the whole image is dropped by 1/4 stop and as a “human” we look at eyes first and always think they are about 50% lighter than what is represented in a print. Everything is subjective, I would advise get the boy right with as much raw detail, put it through gimp or photoshop for the eyes and then mask the boy and pump the autumn colours up.
2020-10-21 143521-1629.jpg.out.pp3 (11.5 KB)
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