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Namespaces | Macros | Functions
ImageSubtract.cc File Reference

Implementation of image subtraction functions declared in ImageSubtract.h. More...

#include <iostream>
#include <numeric>
#include <limits>
#include "boost/timer/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

namespace  lsst
 
namespace  lsst::ip
 
namespace  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.
 
Eigen::MatrixXi lsst::ip::diffim::maskToEigenMatrix (lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
 
template<typename PixelT , typename BackgroundT >
afwImage::MaskedImage< PixelTlsst::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.
 
template<typename PixelT , typename BackgroundT >
afwImage::MaskedImage< PixelTlsst::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)
 
template Eigen::MatrixXd lsst::ip::diffim::imageToEigenMatrix (lsst::afw::image::Image< float > const &)
 
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)
 

Detailed Description

Implementation of image subtraction functions declared in ImageSubtract.h.

Author
Andrew Becker, University of Washington

Definition in file ImageSubtract.cc.

Macro Definition Documentation

◆ INSTANTIATE_convolveAndSubtract

#define INSTANTIATE_convolveAndSubtract ( TYPE)
Value:
p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)
#define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE)
g2d::python::Image< double > Image
Definition test_image.cc:14

Definition at line 236 of file ImageSubtract.cc.

236#define INSTANTIATE_convolveAndSubtract(TYPE) \
237p_INSTANTIATE_convolveAndSubtract(Image, TYPE) \
238p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)

◆ 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); \
A class to manipulate images, masks, and variance as a single object.
Definition MaskedImage.h:74
A Function taking two arguments.
Definition Function.h:259
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition Kernel.h:110

Definition at line 219 of file ImageSubtract.cc.

219#define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE) \
220 template \
221 lsst::afw::image::MaskedImage<TYPE> convolveAndSubtract( \
222 lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \
223 lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \
224 lsst::afw::math::Kernel const& convolutionKernel, \
225 double background, \
226 bool invert); \
227 \
228 template \
229 afwImage::MaskedImage<TYPE> convolveAndSubtract( \
230 lsst::afw::image::TEMPLATE_IMAGE_T<TYPE> const& templateImage, \
231 lsst::afw::image::MaskedImage<TYPE> const& scienceMaskedImage, \
232 lsst::afw::math::Kernel const& convolutionKernel, \
233 lsst::afw::math::Function2<double> const& backgroundFunction, \
234 bool invert); \
235