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scipy.signal.wiener
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scipy.signal.wiener(im, mysize=None, noise=None)
Perform a Wiener filter on an N-dimensional array.
Apply a Wiener filter to the N-dimensional array im.
Parameters : | im : ndarray
mysize : int or arraylike, optional
A scalar or an N-length list giving the size of the Wiener filter
window in each dimension. Elements of mysize should be odd.
If mysize is a scalar, then this scalar is used as the size
in each dimension.
noise : float, optional
The noise-power to use. If None, then noise is estimated as the
average of the local variance of the input.
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Returns : | out : ndarray
Wiener filtered result with the same shape as im.
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