38 #include "boost/timer.hpp" 61 template <
typename PixelT>
67 Eigen::MatrixXd M = Eigen::MatrixXd::Zero(rows, cols);
68 for (
int y = 0; y != img.
getHeight(); ++y) {
71 ptr != img.
row_end(y); ++ptr, ++x) {
85 Eigen::MatrixXi M = Eigen::MatrixXi::Zero(rows, cols);
86 for (
int y = 0; y != mask.
getHeight(); ++y) {
89 ptr != mask.
row_end(y); ++ptr, ++x) {
114 template <
typename PixelT,
typename BackgroundT>
119 BackgroundT background,
128 convolutionControl.setDoNormalize(
false);
129 afwMath::convolve(convolvedMaskedImage, templateImage,
130 convolutionKernel, convolutionControl);
133 *(convolvedMaskedImage.getImage()) += background;
136 convolvedMaskedImage -= scienceMaskedImage;
140 convolvedMaskedImage *= -1.0;
143 double time = t.elapsed();
144 LOGL_DEBUG(
"TRACE4.ip.diffim.convolveAndSubtract",
145 "Total compute time to convolve and subtract : %.2f s", time);
147 return convolvedMaskedImage;
165 template <
typename PixelT,
typename BackgroundT>
170 BackgroundT background,
179 convolutionControl.setDoNormalize(
false);
180 afwMath::convolve(*convolvedMaskedImage.getImage(), templateImage,
181 convolutionKernel, convolutionControl);
184 *(convolvedMaskedImage.getImage()) += background;
187 *convolvedMaskedImage.getImage() -= *scienceMaskedImage.
getImage();
191 *convolvedMaskedImage.getImage() *= -1.0;
193 convolvedMaskedImage.getMask()->assign(*scienceMaskedImage.
getMask());
194 convolvedMaskedImage.getVariance()->assign(*scienceMaskedImage.
getVariance());
196 double time = t.elapsed();
197 LOGL_DEBUG(
"TRACE4.ip.diffim.convolveAndSubtract",
198 "Total compute time to convolve and subtract : %.2f s", time);
200 return convolvedMaskedImage;
220 #define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE) \ 222 lsst::afw::image::MaskedImage<TYPE> convolveAndSubtract( \ 223 lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \ 224 lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \ 225 lsst::afw::math::Kernel const& convolutionKernel, \ 230 afwImage::MaskedImage<TYPE> convolveAndSubtract( \ 231 lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \ 232 lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \ 233 lsst::afw::math::Kernel const& convolutionKernel, \ 234 lsst::afw::math::Function2<double> const& backgroundFunction, \ 237 #define INSTANTIATE_convolveAndSubtract(TYPE) \ 238 p_INSTANTIATE_convolveAndSubtract(Image, TYPE) \ 239 p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)
VariancePtr getVariance() const
An include file to include the header files for lsst::ip::diffim.
Eigen::MatrixXi maskToEigenMatrix(lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
lsst::afw::image::MaskedImage< PixelT > convolveAndSubtract(lsst::afw::image::MaskedImage< PixelT > const &templateImage, lsst::afw::image::MaskedImage< PixelT > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, BackgroundT background, bool invert=true)
Execute fundamental task of convolving template and subtracting it from science image.
x_iterator row_begin(int y) const
Class to accumulate Mask bits.
lsst::geom::Extent2I getDimensions() const
ImagePtr getImage() const
Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image< PixelT > const &img)
Turns a 2-d Image into a 2-d Eigen Matrix.
Class to calculate difference image statistics.
#define LOGL_DEBUG(logger, message...)
x_iterator row_end(int y) const
#define INSTANTIATE_convolveAndSubtract(TYPE)
lsst::geom::Extent2I getDimensions() const