Sure, here you go:
DSCF3908.RAF (25.8 MB)
Yes - that’s the kind of border issue that was expected. I think we can fix that. Otherwise the color correction seems to be ok,
2 Likes
Yeah, color correction is looking pretty good and very natural looking
1 Like
As the opposed means highlights algorithm now works fine for xtrans I am working on segmentation based recovery for xtrans.
What I need to verify the quality of the algo on xtrans are more images to test.
Come on fuji friends, if you want something really good we need your help!
We need fotos with large parts of the image blown out, like sky and clouds. In bright light and also classic sunset images. Or indoor with arteficial blue or red lights.
Perfect would be images with dark structures in the sky, window frames, power lines, orangeries…
Look out for badly exposed images in your collection and share!
4 Likes
Sunset:
DSCF8597.RAF (21.5 MB)
Blown highlights on textured rock:
DSCF8663.RAF (28.4 MB)
Here are 3 bracketed images that can be useful because the darker ones can give a ‘ground truth’ for the blown highlights:
DSCF7510.RAF (22.7 MB)
DSCF7508.RAF (22.9 MB)
DSCF7509.RAF (24.6 MB)
Sun through lots of trees:
DSCF2362.RAF (27.0 MB)
Above images are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
2 Likes
The problem I had was finding poorly exposed pictures that were worth saving. 
Here are a few staged ones I just took for you .
LED ‘Edison bulb’. Bulb is ‘4000k’, tiles are white and approximately teal
DSCF0314.RAF (21.3 MB)
Window with latch and screen:
DSCF0322.RAF (27.4 MB)
Complex light fixture. Bulbs are ‘3000k’:
DSCF0323.RAF (23.7 MB)
Above images are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Here are a few:
DSCF0075.RAF (26.2 MB)
DSCF0074.RAF (21.2 MB)
DSCF5466.RAF (25.6 MB)
DSCF5377.RAF (26.6 MB)
DSCF5330.RAF (30.1 MB)
I also have a full training set for my LUTs with 80 exposure series. I will make that image set available to you just as soon as it finishes uploading. It is a bit big (4.5 GB).
/Off topic
Ooh, Are you willing share any of your LUTs? I am always looking for some new good ones.
1 Like
Here’s the aforementioned training set: 400 images (4.43 GB). Please let me know when you have downloaded the images, so I can free up the storage. It’s not a very large server.
4 Likes
got it, thanks 
1 Like
Thanks for all the images, especially for the huge set from @bastibe.
All tests confirmed the current code so there is a pr in github 
7 Likes
Can you please share some before/after samples?
Don’t understand this. Before / after what?
The pr has just been updated with some fixes. A am not aware of remaining issues, might also have fixed windows build issues. My tests show equal quality compared to Bayer.
Fuji friends, could you spare some of your precious time and do some hard testing?
Of special interest are
- Transitions from dark to clipped, do pixel peep here!
- Smooth transitions like partly blown out sky.
3 Likes
Before and after highlight reconstruction of some of the images. I am a RawTherapee user and I don’t have any experience with DarkTable. I was just curious to see the results.
@chaimav
Note: I have not yet fetched Jens-Hanno’s latest wizardry,
so here is the status from a few days back:
Addendum: image (d), below, is made using the latest Jens-Hanno-code.
a) highlight reconstruction module = off:
b) highlight reconstruction method = default (i.e. clip highlights):
c) highlight reconstruction method = inpaint opposed:
d) highlight reconstruction method = segment based:
Nice, eh?
Have fun!
Claes in Lund, Sweden
6 Likes
This is magic
Does anyone know if this code is easily portable to RawTherapee?
I will let Ingo @heckflosse know about it. We worked together on other stuff and I bet he can tweak an extra 10% of performance.
The code is in dt, a port should not be a problem.
4 Likes