LSSTApplications  17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
Namespaces | Macros | Functions
ImageSubtract.cc File Reference
#include <iostream>
#include <numeric>
#include <limits>
#include "boost/timer.hpp"
#include "Eigen/Core"
#include "lsst/afw/image.h"
#include "lsst/afw/math.h"
#include "lsst/log/Log.h"
#include "lsst/pex/exceptions/Runtime.h"
#include "lsst/ip/diffim.h"

Go to the source code of this file.

Namespaces

 lsst
 A base class for image defects.
 
 lsst::ip
 
 lsst::ip::diffim
 

Macros

#define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE)
 
#define INSTANTIATE_convolveAndSubtract(TYPE)
 

Functions

template<typename PixelT >
Eigen::MatrixXd lsst::ip::diffim::imageToEigenMatrix (lsst::afw::image::Image< PixelT > const &img)
 Turns a 2-d Image into a 2-d Eigen Matrix. More...
 
Eigen::MatrixXi lsst::ip::diffim::maskToEigenMatrix (lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
 
template<typename PixelT , typename BackgroundT >
afwImage::MaskedImage< PixelT > lsst::ip::diffim::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)
 Implement fundamental difference imaging step of convolution and subtraction : D = I - (K*T + bg) where * denotes convolution. More...
 
template<typename PixelT , typename BackgroundT >
afwImage::MaskedImage< PixelT > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::Image< PixelT > const &templateImage, lsst::afw::image::MaskedImage< PixelT > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, BackgroundT background, bool invert)
 Implement fundamental difference imaging step of convolution and subtraction : D = I - (K.x.T + bg) More...
 
template Eigen::MatrixXd lsst::ip::diffim::imageToEigenMatrix (lsst::afw::image::Image< double > const &)
 
template lsst::afw::image::MaskedImage< float > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::Image< float > const &templateImage, lsst::afw::image::MaskedImage< float > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, double background, bool invert)
 
template afwImage::MaskedImage< float > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::Image< float > const &templateImage, lsst::afw::image::MaskedImage< float > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, lsst::afw::math::Function2< double > const &backgroundFunction, bool invert)
 
template lsst::afw::image::MaskedImage< float > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::MaskedImage< float > const &templateImage, lsst::afw::image::MaskedImage< float > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, double background, bool invert)
 
template afwImage::MaskedImage< float > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::MaskedImage< float > const &templateImage, lsst::afw::image::MaskedImage< float > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, lsst::afw::math::Function2< double > const &backgroundFunction, bool invert)
 
template lsst::afw::image::MaskedImage< double > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::Image< double > const &templateImage, lsst::afw::image::MaskedImage< double > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, double background, bool invert)
 
template afwImage::MaskedImage< double > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::Image< double > const &templateImage, lsst::afw::image::MaskedImage< double > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, lsst::afw::math::Function2< double > const &backgroundFunction, bool invert)
 
template lsst::afw::image::MaskedImage< double > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::MaskedImage< double > const &templateImage, lsst::afw::image::MaskedImage< double > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, double background, bool invert)
 
template afwImage::MaskedImage< double > lsst::ip::diffim::convolveAndSubtract (lsst::afw::image::MaskedImage< double > const &templateImage, lsst::afw::image::MaskedImage< double > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, lsst::afw::math::Function2< double > const &backgroundFunction, bool invert)
 

Macro Definition Documentation

◆ INSTANTIATE_convolveAndSubtract

#define INSTANTIATE_convolveAndSubtract (   TYPE)
Value:
p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)
#define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE)

Definition at line 237 of file ImageSubtract.cc.

◆ p_INSTANTIATE_convolveAndSubtract

#define p_INSTANTIATE_convolveAndSubtract (   TEMPLATE_IMAGE_T,
  TYPE 
)
Value:
template \
lsst::afw::image::MaskedImage<TYPE> convolveAndSubtract( \
lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \
lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \
lsst::afw::math::Kernel const& convolutionKernel, \
double background, \
bool invert); \
\
template \
afwImage::MaskedImage<TYPE> convolveAndSubtract( \
lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \
lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \
lsst::afw::math::Kernel const& convolutionKernel, \
lsst::afw::math::Function2<double> const& backgroundFunction, \
bool invert); \
template afwImage::MaskedImage< double > convolveAndSubtract(lsst::afw::image::MaskedImage< double > const &templateImage, lsst::afw::image::MaskedImage< double > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, lsst::afw::math::Function2< double > const &backgroundFunction, bool invert)
Relationship invert(Relationship r)
Given the relationship between two sets A and B (i.e.
Definition: Relationship.h:55
A Function taking two arguments.
Definition: Function.h:259
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:73
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:111

Definition at line 220 of file ImageSubtract.cc.