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Investigate whether the vectorization will improve the speed.
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* Fix the wrong output shape: wrongly swap the row and column
* Fix the area mapping method, which may give zero values when the index
of the input is integer, which cause problem to calculate the
overlapping areas.
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The "rotate_center()" function rotates a gray-scale image by a given
angle about its center, using the area mapping method or simple nearest
neighbor.
This function is `numba` JIT-optimized, and can replace the
`scipy.ndimage.rotate()` function.
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