Skip to main content
`Ctrl`+`K`

# scipy.signal.qspline2d

scipy.signal.qspline2d(input, lambda=0.0, precision=-1.0)

  Coefficients for 2-D quadratic (2nd order) B-spline:

  Return the second-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.