Template Function lsst::afw::math::detail::basicConvolve(OutImageT&, InImageT const&, lsst::afw::math::LinearCombinationKernel const&, lsst::afw::math::ConvolutionControl const&)

Function Documentation

template<typename OutImageT, typename InImageT>
void lsst::afw::math::detail::basicConvolve(OutImageT &convolvedImage, InImageT const &inImage, lsst::afw::math::LinearCombinationKernel const &kernel, lsst::afw::math::ConvolutionControl const &convolutionControl)

A version of basicConvolve that should be used when convolving a LinearCombinationKernel

The Algorithm:

  • If the kernel is spatially varying and contains only DeltaFunctionKernels then convolves the input Image by each basis kernel in turn, solves the spatial model for that component and adds in the appropriate amount of the convolved image.

  • In all other cases uses normal convolution

Parameters

  • [out] convolvedImage: convolved image

  • [in] inImage: image to convolve

  • [in] kernel: convolution kernel

  • [in] convolutionControl: convolution control parameters

Exceptions

  • lsst::pex::exceptions::InvalidParameterError: if convolvedImage dimensions != inImage dimensions

  • lsst::pex::exceptions::InvalidParameterError: if inImage smaller than kernel in width or height

  • lsst::pex::exceptions::InvalidParameterError: if kernel width or height < 1

  • std::bad_alloc: when allocation of CPU memory fails