The task of turning darker areas into black and lighter areas into white in an image is known as thresholding, with local thresholding being beneficial for varying image regions.
Implementing the thresholding algorithm using the Numba compiler in Python improved speed, even though it was not identical to the original and not yet optimized for the specific case.
Median calculation for each pixel can be time-consuming; exploring optimization techniques is crucial for enhancing performance in image processing applications.
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