laplacian(ndim, shape, is_real=True)

Laplacian is the second order difference, on row and column.

Parameters

ndim : int

The dimension of the Laplacian.

shape : tuple

The support on which to compute the transfer function.

is_real : boolean, optional

If True (default), imp_resp is assumed to be real-valued and the Hermitian property is used with rfftn Fourier transform to return the transfer function.

Returns

tf : array_like, complex

The transfer function.

impr : array_like, real

The Laplacian.

Return the transfer function of the Laplacian.

Examples

This example is valid syntax, but we were not able to check execution

>>> tf, ir = laplacian(2, (32, 32))
... np.all(ir == np.array([[0, -1, 0], [-1, 4, -1], [0, -1, 0]]))
True

This example is valid syntax, but we were not able to check execution

>>> np.all(tf == ir2tf(ir, (32, 32)))
True

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.restoration.uft.laplacian

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