Here’s an example how to process a raw from neutral to acceptable output in just a few steps:
1.) open raw file and apply neutral profile. Looks so (I will use the same 100% view in all screenshots, you can see the downsized image top left in navigator)
2.) Select an auto-matched profile. I used Auto-matched curve ISO low, because the raw was shot at ISO 500 (which is quite low ISO for my camera). Looks so
Thank you. When the user has a decent .dcp camera profile, do you recommend the Tone Curve checkbox under Color Management or the Auto-Matched Curve? Or is it just an individual choice for each photo?
For my photos the auto-matched curve works just fine. But there are cameras (mainly cameras which crop the embedded jpeg at low focal lengths) where using auto-matched does not work.
For this cases I would stick to embedded tone curve in Colour Management.
Well, as I underexposed and corrected that in post, the jpeg for sure was darker in this case.
The amount of detail (resolution) I can get from the raw processing also is much larger.
Also the raw CA correction in RT works better than the in camera CA correction.
When using Auto-matched tone curve I usually get results, which regarding contrast match the jpeg quite well, so I use it as a starting point for the processing.
Thanks for the additional info… In my case, I usually have to also adjust the camera’s white balance, which tends to be either too warm or too cool. I also find that the auto-matched curve produces good results only when the scene had good lighting and contrast to start with.
In summary, I tend to have to do more processing than you describe here. Probably has to do with my camera’s limitations too.
Hallo afre,
yes, you can touch the nodes and change their position, additionally adjust the tonal values with the sliders.
My question is whether you can “improve” the results of A-MTC with it, or whether there is an inner confilct, which will worsen the tonal values in the end.
The word “improve” is too vague. You can change the look by modifying the AMTC itself or modifying the second curve that is available. It shouldn’t make a difference. Whether that improves the photo or not is a question of taste.
The purpose of the algorithm is to bring you close to the JPG; however, it may fail in edge cases, as do all algorithms. One way to help improve it is to provide examples where it fails for the devs to look at, guess and then confirm the reason. We already know some of that, where framing, vignetting, etc., makes the raw differ from the OOC JPG.
Even then, if quality post-processing matters to you, you would still need to make additional adjustments, which means my suggestion to adjust the sliders and curves is still relevant.