Feature Request - Dust Spot Detector / Remover

[Egregius ([Greg] (Micro 4/3 + Win11))]

Hi, there are already some feature requests for something like this:

Dust removal by correlation in image set without reference

suggestion: Photolab compares pictures in a user-selected set of images. The feature detects dust by correlation, where dust is the signal to be found and each actual image is considered as noise. This process could find the noise without a reference image. This would be followed by batch cleaning of the whole set.

Use AI to remove lots of dust and other unwanted dots

I recently made a big amount (about 500) of pictures of a training for an air show. BUT, it was so windy that I got hundreds of unwanted dots or dust (some like small threads) that makes all the picture unusable. It’s not possible to remove these dots as they are to close to another and cover a surface that cannot be taken to paste over them. If AI could be used to give a solution without erasing everything around … (?) and remove a lot of them in few actions, that would be great use.

That isn’t to say that these proposals are the same as yours. We can vote for some or all of them. While an infallible process would use a blank photo as a reference for identifying dust spots, you seem to be suggesting that AI can be trained to recognize what doesn’t belong in the image and remove it intelligently. Is that so?

You created this topic as a feature request for PhotoLab, but didn’t set the sub-category to Feature Request. I’ve done that for you so that participants in the forum can vote for it if they want. I suggest you do the same by clicking on the Vote button at the top of the page.