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Actually, cancer research can benefit (admittedly by a long shot, but still) by these kind of improvements in image processing. Don't forget that medical imaging and - thereby indirectly - the recognition/detection of cancer is one of the first steps in curing said disease.

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You are disrupting my narrative with facts.

Very well said.

I suspect Clarity on Camera+ is some form of Contrast Limited Adaptive Histogram Equalization (CLAHE).

CLAHE came about from digital image cleanup of medical scans for human analysis.

Now, a CLAHE implementation on top of SnappyCam .....

I considered doing this over a year ago. I was really intrigued by the algorithm and declared it was a distraction over getting the basic app solid first.

I'd love to revisit it. It really works wonders. I've played with the CLAHE implementation in Fiji/ImageJ and while it can produce really good results, it does require some tuning.

I really admire the Camera+ guys for creating an auto tuning algorithm that is quite similar. (I'm unsure if they're using CLAHE or a variation.)

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