scipy.signal.

cspline2d#

scipy.signal.cspline2d(signal, lamb=0.0, precision=-1.0)[source]#

Coefficients for 2-D cubic (3rd order) B-spline.

Return the third-order B-spline coefficients over a regularly spaced input grid for the two-dimensional input image.

Parameters:

inputndarray: The input signal.
lambfloat: Specifies the amount of smoothing in the transfer function.
precisionfloat: Specifies the precision for computing the infinite sum needed to apply mirror-symmetric boundary conditions.

Returns:

outputndarray: The filtered signal.

Notes

Array API Standard Support

cspline2d has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

Library	CPU	GPU
NumPy	✅	n/a
CuPy	n/a	✅
PyTorch	✅	⛔
JAX	⚠️ no JIT	⛔
Dask	⚠️ computes graph	n/a

See Support for the array API standard for more information.