LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
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.