`scipy.signal._spline_filters:cspline2d`

source: /scipy/signal/_spline_filters.py :478

Signature

def cspline2d ( signal , lamb = 0.0 , precision = -1.0 )

Summary

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

Extended Summary

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

Parameters

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

Returns

output : ndarray: 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 dev-arrayapi for more information.

Aliases

scipy.signal.cspline2d