Looking for Feedback: Please Try Editing My RAW File in Darktable

Hi there! I learned from another community member that I can offer to post my RAW file here and have others try editing it in darktable. I’d love to give a go at learning this way, so if anyone wants to edit this photo please do.

Thanks.

DSCN3506.NRW (25.2 MB)

This file is licensed Creative Commons, By-Attribution, Share-Alike.

Here’s my attempt:
DSCN3506.NRW.xmp (9.6 KB)

This file is licensed Creative Commons, By-Attribution, Share-Alike.

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didn’t do much, just testing my typical dt-nind-denoise workflow :smiley:


DSCN3506.NRW.xmp (9.3 KB)

EDIT: pushing 20-iterations on RL-deblur, slightly more contrast

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Looking for Feedback - Please Try Editing My RAW File in Darktable_DSCN3506.NRW.xmp (15.3 KB)

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DSCN3506.NRW.xmp (11.0 KB)

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Could not resist another try… I like grain, if you don’t give me yell and I’ll try to get it out.

Will reply to how to deal with .xmp’s shortly.


DSCN3506_01.NRW.xmp (28.9 KB)


DSCN3506.NRW.xmp (20.2 KB)

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Hi Kland, Lovely shot!

I shifted the crop a little, and reduced the colour contrast to soften the wings and background greens, which let me bump up the saturation a little more. (possibly overdone, I’m not sure how bright these things are :smiley: )


DSCN3506_01.NRW.xmp (11.3 KB)

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DSCN3506.NRW.xmp (17,8 KB)

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dt 5.2

DSCN3506.NRW.xmp (16.3 KB)

My version…

DSCN3506.NRW.xmp (20,1 KB)

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DSCN3506.NRW.xmp (17,3 KB)

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Whenever I see these horizontal stripes it reminds me of cinematic shots, like as if this render was a documentary screenshot.

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Maybe obvious for a lot of viewers - but what is RL-deblur? Did you mean the lua script ’ RL_out_sharp’?

By the way, I like the sharpness you achieved a lot!

Kind regards, Jetze

It’s Richardson-Lucy deconvolution, called RL-deblur under GMIC kit. I believe the 'RL_out_sharp’ script just passes the exported JPG to the same tool.

However, RL-deblur tends to accentuate noise, so your image needs to be clean, or noise will be more visible. As part of my workflow, I’ve been using nind-denoise (AI denoise) before feeding to RL-deblur. I’m cleaning up my script to be more generic and will post a documentation on it.

Yeah, I prefer deconvolution over sharpening. It is a reconstruction process, making the most of the lens. At least it doesn’t cause halo like sharpening.

Some good reads:
https://clarkvision.com/articles/image-restoration1/
https://clarkvision.com/articles/image-restoration2/

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I know you requested that this be done in Darktable, but I couldn’t resist running it through RawTherapee, my RAW editor of choice. My approach:

  • Capture Sharpening
  • NR
  • Auto-matched tone curve, then
  • Tweak settings on second tone curve
  • Daylight WB
  • Square crop

After those basic edits, I used RawTherapee’s Selective Editing tool to isolate the wings and bring up the tones in them. Slight vignette added before exporting.

Challenges: I didn’t have a custom color profile for this camera, so I had to just wing it. Also, lots of noise that I didn’t spend much time on. Also, now that I’m looking at it a little longer, I could have brought up the shadows a bit more globally.

Fabulous photo! Thanks for letting us play around with it.

1 Like

Another attempt


DSCN3506_01.NRW.xmp (9.6 KB)

I know it’s not processed in DT, but I thought of experimenting with RapidRAW. Hope you like the output. The software is improving with every new version

Pixls will still not accept the rrdata sidecar file, hence providing as a zip file

Butterfly_DSCN3506.NRW.zip (1008 Bytes)


DSCN3506.NRW.xmp (37.3 KB)

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DSCN3506.NRW.xmp (68,2 KB)

darktable 5.2

Wonderful creature and great shot. Congrats.

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Thanks @sillyxone for this nice information! Makes me happy to see what you do and what you achieve with it!

Nice to learn, will investigate this route.

That will be wonderful to see exactly what you do. Thanks in advance!

Exactly!

Will follow your leads and read… feel this can be very nice for a part of my pictures. I got curious seeing the eye of the butterfly in combination with the nice details in the flowers you managed to display.

Kind regards, Jetze