Image converted with DxO
I have wanted to see what goes on inside the mysterious engine of DxO Optics 5.3 so I took a test image and converted it with DxO with all the corrections off, and also converted it with UFRaw
, doing my best to make them as close as possible.
Theres plenty of information around about different methods of Bayer Interpolation. Most of those examples are for images that have very little noise. I wanted to see how different methods would compare for a very noisy image. For example, one that is very underexposed, or shot at a very high ISO setting.