cupyx.scipy.signal.medfilt(volume, kernel_size=None)[source]#

Perform a median filter on an N-dimensional array.

Apply a median filter to the input array using a local window-size given by kernel_size. The array will automatically be zero-padded.

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

  • kernel_size (int or list of ints) – Gives 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. Default size is 3 for each dimension.


An array the same size as input containing the median filtered result.

Return type: