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Lecture 16: Camera & Lenses Cont. (74)

What's the difference between computationally extended DoF and heuristically removing blur? Back in week 2 or so we used supersampling to "increase" the resolution of a picture; these seem like they're solving a similar problem.


The basic main difference between computational extended DoF and heuristically removing blur is that DoF involves capturing and combining multiple images to create a single composite image with a greater depth of field, while heuristically removing blur involves processing a single image to reduce blur and improve sharpness.

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