LSSTApplications  19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
ImageSubtract.h
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1 // -*- lsst-c++ -*-
2 
3 /*
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24 
35 #ifndef LSST_IP_DIFFIM_IMAGESUBTRACT_H
36 #define LSST_IP_DIFFIM_IMAGESUBTRACT_H
37 
38 #include "Eigen/Core"
39 
40 #include "lsst/afw/math.h"
41 #include "lsst/afw/image.h"
42 
43 namespace lsst {
44 namespace ip {
45 namespace diffim {
46 
47 
61  template <typename PixelT, typename BackgroundT>
63  lsst::afw::image::MaskedImage<PixelT> const& templateImage,
64  lsst::afw::image::MaskedImage<PixelT> const& scienceMaskedImage,
65  lsst::afw::math::Kernel const& convolutionKernel,
66  BackgroundT background,
67  bool invert=true
68  );
69 
83  template <typename PixelT, typename BackgroundT>
85  lsst::afw::image::Image<PixelT> const& templateImage,
86  lsst::afw::image::MaskedImage<PixelT> const& scienceMaskedImage,
87  lsst::afw::math::Kernel const& convolutionKernel,
88  BackgroundT background,
89  bool invert=true
90  );
91 
99  template <typename PixelT>
100  Eigen::MatrixXd imageToEigenMatrix(
102  );
103 
104  Eigen::MatrixXi maskToEigenMatrix(
106  );
107 
108 }}} // end of namespace lsst::ip::diffim
109 
110 #endif
lsst::afw::image::Mask< lsst::afw::image::MaskPixel >
lsst::ip::diffim::convolveAndSubtract
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.
Definition: ImageSubtract.cc:115
mask
afw::table::Key< afw::table::Array< MaskPixelT > > mask
Definition: HeavyFootprint.cc:217
math.h
lsst::afw::image::MaskedImage< PixelT >
lsst.pipe.drivers.visualizeVisit.background
background
Definition: visualizeVisit.py:37
lsst::ip::diffim::imageToEigenMatrix
Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image< PixelT > const &img)
Turns a 2-d Image into a 2-d Eigen Matrix.
Definition: ImageSubtract.cc:62
image.h
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst::ip::diffim::maskToEigenMatrix
Eigen::MatrixXi maskToEigenMatrix(lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
Definition: ImageSubtract.cc:80
lsst::afw::math::Kernel
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:111
lsst::afw::image::Image
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:58
lsst::sphgeom::invert
Relationship invert(Relationship r)
Given the relationship between two sets A and B (i.e.
Definition: Relationship.h:55