套件： vspline-dev (0.4.1-1)

header-only C++ template library for uniform b-spline processing

vspline aims to be as fast as possible, it's main focus is processing of bulk raster data, especially images. vspline can handle

 -  splines over real and integer data types and their aggregates
 -  a reasonable selection of boundary conditions
 -  spline degree up to 45
 -  arbitrary dimensionality of the spline
 -  using multithreaded code
 -  using the CPU's vector units if possible

On the evaluation side it provides

 -  evaluation of the spline at point locations in the defined range
 -  evaluation of the spline's derivatives
 -  specialized code for degrees 0 and 1 (nearest neighbour and n-linear)
 -  mapping of arbitrary coordinates into the defined range
 -  evaluation of nD arrays of coordinates ('remap' function)
 -  coordinate-fed remap function ('index_remap')
 -  functor-based remap, aka 'transform' functions
 -  functor-based 'apply' function
 -  restoration of the original data from the coefficients

To produce maximum performance, vspline has a fair amount of collateral code, and some of this code may be helpful beyond vspline:

 -  range-based multithreading with a thread pool
 -  functional constructs using vspline::unary_functor
 -  forward-backward n-pole recursive filtering
 -  separable convolution
 -  efficient access to the b-spline basis functions
 -  extremely precise precalculated constants

data handling is done with vigra data types, using vigra::MultiArrayView for handling strided nD arrays, and vigra::TinyVector for small aggregates. vspline optionally uses horizontal vectorization with Vc, but without Vc present, it attempts to trigger the compiler's autovectorization by producing deliberately vector-friendly inner loops. bulk data processing is automatically multithreaded.