Autumn 2024 update:
Of all the proposed AI applications, let’s take stock:
#1 AI mask : now in Capture 1 and Lightroom!
A lot of people would like this feature, even if personnaly I find it is not a priority: I found the Control lines and the U-points of PhotoLab enough performing and easy to use.
#2 AI highlight recovery : still pending, and I think (hope) a huge improvement is possible on this point.
#3 AI auto-fill : now in Photoshop! It seems that AI generative features are not in the spirit of PhotoLab…
#4 AI noise reduction : improved again with DeepPRIME XD2s: it remains the best in class. But is it sufficient to convince users of Capture One, Lightroom, or others to shift to PhotoLab ?
#5 AI DAM assistance : content aware adding keywords/tags to the photo library, so that photos of the same types of subjects can be searched and catalogued easily.
#6 AI auto-clean up of sensor dust : this is really what I’m looking forward to the most.
#7 AI-help for editing (automatic multi-criteria scoring/notation aid): I find the idea more and more useful when I see the new max frame rates or the pre-capture function. How to deal with such an insane amount of pictures?
#8 AI object detection and replacement : why not starting with wires, people, cars and their replacement by their background? Simple, limited, but efficient.
#9 AI luminosity, automatic white balance on a series of pictures .
#10 AI super resolution upscaler . Already available in Topaz and now AIarty Image Ehancer! Combined with DeepPRIME, this feature would give a new youth to old pictures, from 6-10 Mpix cameras. A smart way to merge old pictures with new ones.
#11 AI Auto HDR , from one picture or a series. Is there any supporter here?
#12 AI blur-removal : already existing in Topaz Sharpen-AI, but it could be a nice improvement for PhotoLab.
#13 AI improvements for Auto-horizon, Auto-perspective . Really, actual tools are very poor in automatic mode in PhotoLab. They deserve to be improved.
#14 AI lens blur simulation , that I discovered with Lightroom. AI generates a 3D-map of the image to create an artificial bokeh with realistic blur transitions + predefined bokeh styles (circles, rings, cat eyes, and so on). Interesting concept.
#15 AI-based database reliability management: finding duplicates, looking for moved files, deleted files, ignoring non-RAW files, exploring sub-folders, and so on.
#16 AI batch processing in natural language, such as: “Balance the lighting of [this set of photos] like [this one], adjust the horizon of [this set of photos], etc.
My vote is quite the same as last year:
- First, compatibility with dng of smartphones. It is not AI, but I really miss it.
- I would add this year a more precise setting for output sharpness. The two existing levels are really poor: you always hesitate between too little and too much.
- Second: #6 AI auto-clean up of sensor dust.
- Third: #2 AI highlight recovery.
- Fourth: #12 AI blur removal and #10 AI super resolution, ex aequo.