# cupyx.scipy.ndimage.fourier_gaussian¶

cupyx.scipy.ndimage.fourier_gaussian(input, sigma, n=-1, axis=-1, output=None)

Multidimensional Gaussian shift filter.

The array is multiplied with the Fourier transform of a (separable) Gaussian kernel.

Parameters
• input (cupy.ndarray) – The input array.

• sigma (float or sequence of float) – The sigma of the Gaussian kernel. If a float, sigma is the same for all axes. If a sequence, sigma has to contain one value for each axis.

• n (int, optional) – If n is negative (default), then the input is assumed to be the result of a complex fft. If n is larger than or equal to zero, the input is assumed to be the result of a real fft, and n gives the length of the array before transformation along the real transform direction.

• axis (int, optional) – The axis of the real transform (only used when n > -1).

• output (cupy.ndarray, optional) – If given, the result of shifting the input is placed in this array.

Returns

The filtered output.

Return type

output (cupy.ndarray)