# scipy.signal.cspline2d

scipy.signal.cspline2d(input, lambda=0.0, precision=-1.0)

  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
    input ndarray

      The input signal.

    lambda 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.

  Examples

  Examples are given in the tutorial.

scipy.signal.qspline1d scipy.signal.qspline2d