What you're looking for is a temporal sharpening algorithm. These exist in crude forms because they're considerably more challenging to program than temporal n

What you're looking for is a temporal sharpening algorithm. These exist in crude forms because they're considerably more challenging to program than temporal noise reduction algorithms. Problem #1 is automatic image registration/alignment which is still largely an open problem of great interest to astronomers and those in medical/surgical fields. It's challenging because we're taking 2D images of objects moving in a 3D space. Problem #2 is classification. It's very hard at the moment to suss out which high frequency details are important vs. which are noise.