User Guide#

This guide provides detailed explanations, tutorials, and examples to use the modules available in SplineOps.

Module Overview#

Cubic B-spline basis
Spline Interpolation

Extensible Python-based interpolation class for multidimensional data.

Spline Interpolation
1D spline resampling
Resize

Fast, top quality projection methods to resample multidimensional data.

Resize
Rotated image example
Affine

Affine transforms on 2D/3D data using spline interpolation.

Affine
Piecewise-linear regression
Adaptive Regression Splines

Perform sparsest linear regression on 1D data.

Adaptive Regression Splines
Smoothing spline on an image
Smoothing Splines

Fit splines to noisy data.

Smoothing Splines
Gradient/Laplacian visualisation
Differentials

Compute first and second-order derivatives on 2D images.

Differentials
Multiscale / wavelet decomposition
Multiscale

Analyze 1D signals and 2D images at multiple scales.

Multiscale