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# scipy.signal.wiener

`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 An N-dimensional array. mysize : int or array_like, 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.
  Returns: | out : ndarray Wiener filtered result with the same shape as im.