By chance, I became aware of the latest DxO Raw Converter software, and today I gave it a quick try. It’s incredible what the software can do. Unfortunately, the X-Trans sensors from Fuji are not supported, but even so, it seems to be worth the money.

The images were processed synchronously. The DxO version, of course, uses their excellent lens correction. For the ACR versions, the corresponding Lightroom profile was selected. Otherwise, all the edits are kept exactly the same.

The first image is a kingfisher from Extremadura. Taken with the Nikon D500 and the 300mm PF lens at ISO 1600. The noise has been eliminated very well and the details obtained are superb.

ACR
ACR
ACR
DXO
DXO
Eisvogel
ACR
ACR
ACR
DXO
DXO
Eisvogel

Very good to see also in the enlargement.

 

The next picture is also from Extremadura. Also taken with the Nikon D500. The lens used this time was the 500mm PF at ISO 560. Especially with the eye you can see very clearly the advantage of the software.

ACR
ACR
ACR
DxO
DxO
Habichtsadler
ACR
ACR
ACR
DxO
DxO
Habichtsadler

 

The image of Obereversand Lighthouse was taken with the Fuji GFX and the 32-64mm lens at ISO 100. The structures by the stairs are much more detailed and any noise in the dark areas has disappeared.

ACR
ACR
ACR
DxO
DxO
Obereversand
ACR
ACR
ACR
DxO
DxO
Obereversand

 

The prosecture in Cuxhaven was again taken with the Fuji GFX and the 32-64mm at ISO 100. In the small view, the structures in the masonry are already noticeable.

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ACR
ACR
DxO
DxO
Prosektur
ACR
ACR
ACR
DxO
DxO
Prosektur

The again enlarged detail clarifies the whole even more.

 

The stonechat was again taken with the Nikon D500 and the 500mm PF at ISO 100. The gain in detail is very clear to see.

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ACR
ACR
DxO
DxO
Schwarzkehlchen

 

Of course, all this is not for free 🙂 The files are mightily bloated. The DNG from Obereversand lighthouse has 41.73 MByte in ACR format, while the DxO version has 134.91 MByte. Since DXO processes DNGs as well as native RAW files, one could now additionally work with Superresolution. The result would then probably be 500 MByte per image, but it can be worthwhile.