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Lightroom Classic-Version: 12.3
Interne Camera Raw-Version: 15.3.1
Betriebssystem: Windows 10 - Business Edition
Systemarchitektur: x64
Anzahl logischer Prozessoren: 32
Prozessorgeschwindigkeit: 3,3GHz
Integrierter Speicher: 65436,2 MB
Informationen zum Grafikprozessor:
DirectX: AMD Radeon RX 6900 XT
Since the update to Camera Raw v 15.3.1 today, I observerd following topic.
By using the new Lightroom Classic intergated AI noise reduction function on my *.CR3 raw files I got purple colored pictures.
Even in the preview zoom area the picture get a colored purple overlay after the precalulation has been performed.
Please give me a hint to get rid of this "feature".
Thanks a lot from south Germany
Best regards Rainer
Have a look around the forum, Rainer - this problem has already been discussed numerous times eg:
(And there are more...)
For a start, make sure you're sing the most up to date GPU drivers.
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You appear to have the 'Highlight' clipping indicator enabled (see red patch at top of football). Does the false colour disappear when this is disabled (i.e. click the symbol highlighted in attached screenshot).
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Thanks for the hint, but it seem to be a different cause.
I turned all clipping indicators off, but still purple overlay.
Even multiple reboots did not solve this topic.
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Have a look around the forum, Rainer - this problem has already been discussed numerous times eg:
(And there are more...)
For a start, make sure you're sing the most up to date GPU drivers.
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Thanks a lot Keith_Reeder.
The lates GPU drivers solves this purple overlay topic as well an other topic I had since a few months.
I kept an quite old version (22.2.3) of the AMD Adrenalin GPU driver, due to the fact, that in the past, I had several problems with more actual versions. Especially with the full grafics acellartion in Lightroom presettings. After a few times update to more actual driver versions I had to downgade again and again, because of not working full grafics acellartion.
I am really happy with this new driver.
A picture from a Canon R5 is now denoised within 15 seconds, thanks to your hint and the informations I got from your attached link to additional information source.
Thanks a lot from south Germany
Best regards Rainer