Template Function lsst::afw::math::detail::convolveWithInterpolation

Function Documentation

template<typename OutImageT, typename InImageT>
void lsst::afw::math::detail::convolveWithInterpolation(OutImageT &outImage, InImageT const &inImage, lsst::afw::math::Kernel const &kernel, ConvolutionControl const &convolutionControl)

Convolve an Image or MaskedImage with a spatially varying Kernel using linear interpolation.

This is a low-level convolution function that does not set edge pixels.

The algorithm is as follows:

  • divide the image into regions whose size is no larger than maxInterpolationDistance

  • for each region:

    • convolve it using convolveRegionWithInterpolation (which see)

Note that this routine will also work with spatially invariant kernels, but not efficiently.

Parameters

  • [out] outImage: convolved image = inImage convolved with kernel

  • [in] inImage: input image

  • [in] kernel: convolution kernel

  • [in] convolutionControl: convolution control parameters

Exceptions

  • lsst::pex::exceptions::InvalidParameterError: if outImage is not the same size as inImage