cupyx.scipy.signal.wiener(im, mysize=None, noise=None)[source]#

Perform a Wiener filter on an N-dimensional array.

Apply a Wiener filter to the N-dimensional array im.

  • im (cupy.ndarray) – An N-dimensional array.

  • mysize (int or cupy.ndarray, 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.


Wiener filtered result with the same shape as im.

Return type: