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 in.


in – an N-dimensional array. kernel_size – A scalar or an N-length list giving the size of the

median filter window in each dimension. Elements of kernel_size should be odd. If kernel_size is a scalar, then this scalar is used as the size in each dimension.
noise – The noise-power to use. If None, then noise is estimated as
the average of the local variance of the input.

Outputs: (out,)

out – Wiener filtered result with the same shape as in.

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