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.cc
Go to the documentation of this file.
1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
7  * This product includes software developed by the
8  * LSST Project (http://www.lsst.org/).
9  *
10  * This program is free software: you can redistribute it and/or modify
11  * it under the terms of the GNU General Public License as published by
12  * the Free Software Foundation, either version 3 of the License, or
13  * (at your option) any later version.
14  *
15  * This program is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18  * GNU General Public License for more details.
19  *
20  * You should have received a copy of the LSST License Statement and
21  * the GNU General Public License along with this program. If not,
22  * see <http://www.lsstcorp.org/LegalNotices/>.
23  */
24 
34 #include <iostream>
35 #include <numeric>
36 #include <limits>
37 
38 #include "boost/timer.hpp"
39 
40 #include "Eigen/Core"
41 
42 #include "lsst/afw/image.h"
43 #include "lsst/afw/math.h"
44 #include "lsst/log/Log.h"
46 
47 #include "lsst/ip/diffim.h"
48 
49 namespace afwImage = lsst::afw::image;
50 namespace afwMath = lsst::afw::math;
52 namespace dafBase = lsst::daf::base;
53 
54 namespace lsst {
55 namespace ip {
56 namespace diffim {
57 
61 template <typename PixelT>
62 Eigen::MatrixXd imageToEigenMatrix(
64  ) {
65  unsigned int rows = img.getHeight();
66  unsigned int cols = img.getWidth();
67  Eigen::MatrixXd M = Eigen::MatrixXd::Zero(rows, cols);
68  for (int y = 0; y != img.getHeight(); ++y) {
69  int x = 0;
71  ptr != img.row_end(y); ++ptr, ++x) {
72  // M is addressed row, col. Need to invert y-axis.
73  // WARNING : CHECK UNIT TESTS BEFORE YOU COMMIT THIS (-y-1) INVERSION
74  M(rows-y-1,x) = *ptr;
75  }
76  }
77  return M;
78 }
79 
80 Eigen::MatrixXi maskToEigenMatrix(
82  ) {
83  unsigned int rows = mask.getHeight();
84  unsigned int cols = mask.getWidth();
85  Eigen::MatrixXi M = Eigen::MatrixXi::Zero(rows, cols);
86  for (int y = 0; y != mask.getHeight(); ++y) {
87  int x = 0;
89  ptr != mask.row_end(y); ++ptr, ++x) {
90  // M is addressed row, col. Need to invert y-axis.
91  // WARNING : CHECK UNIT TESTS BEFORE YOU COMMIT THIS (-y-1) INVERSION
92  M(rows-y-1,x) = *ptr;
93  }
94  }
95  return M;
96 }
97 
98 
114 template <typename PixelT, typename BackgroundT>
116  lsst::afw::image::MaskedImage<PixelT> const &templateImage,
117  lsst::afw::image::MaskedImage<PixelT> const &scienceMaskedImage,
118  lsst::afw::math::Kernel const &convolutionKernel,
119  BackgroundT background,
120  bool invert
121  ) {
122 
123  boost::timer t;
124  t.restart();
125 
126  afwImage::MaskedImage<PixelT> convolvedMaskedImage(templateImage.getDimensions());
128  convolutionControl.setDoNormalize(false);
129  afwMath::convolve(convolvedMaskedImage, templateImage,
130  convolutionKernel, convolutionControl);
131 
132  /* Add in background */
133  *(convolvedMaskedImage.getImage()) += background;
134 
135  /* Do actual subtraction */
136  convolvedMaskedImage -= scienceMaskedImage;
137 
138  /* Invert */
139  if (invert) {
140  convolvedMaskedImage *= -1.0;
141  }
142 
143  double time = t.elapsed();
144  LOGL_DEBUG("TRACE4.ip.diffim.convolveAndSubtract",
145  "Total compute time to convolve and subtract : %.2f s", time);
146 
147  return convolvedMaskedImage;
148 }
149 
165 template <typename PixelT, typename BackgroundT>
167  lsst::afw::image::Image<PixelT> const &templateImage,
168  lsst::afw::image::MaskedImage<PixelT> const &scienceMaskedImage,
169  lsst::afw::math::Kernel const &convolutionKernel,
170  BackgroundT background,
171  bool invert
172  ) {
173 
174  boost::timer t;
175  t.restart();
176 
177  afwImage::MaskedImage<PixelT> convolvedMaskedImage(templateImage.getDimensions());
179  convolutionControl.setDoNormalize(false);
180  afwMath::convolve(*convolvedMaskedImage.getImage(), templateImage,
181  convolutionKernel, convolutionControl);
182 
183  /* Add in background */
184  *(convolvedMaskedImage.getImage()) += background;
185 
186  /* Do actual subtraction */
187  *convolvedMaskedImage.getImage() -= *scienceMaskedImage.getImage();
188 
189  /* Invert */
190  if (invert) {
191  *convolvedMaskedImage.getImage() *= -1.0;
192  }
193  convolvedMaskedImage.getMask()->assign(*scienceMaskedImage.getMask());
194  convolvedMaskedImage.getVariance()->assign(*scienceMaskedImage.getVariance());
195 
196  double time = t.elapsed();
197  LOGL_DEBUG("TRACE4.ip.diffim.convolveAndSubtract",
198  "Total compute time to convolve and subtract : %.2f s", time);
199 
200  return convolvedMaskedImage;
201 }
202 
203 /***********************************************************************************************************/
204 //
205 // Explicit instantiations
206 //
207 
208 template
209 Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image<float> const &);
210 
211 template
213 
214 template class FindSetBits<lsst::afw::image::Mask<> >;
215 template class ImageStatistics<float>;
216 template class ImageStatistics<double>;
217 
218 /* */
219 
220 #define p_INSTANTIATE_convolveAndSubtract(TEMPLATE_IMAGE_T, TYPE) \
221  template \
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, \
226  double background, \
227  bool invert); \
228  \
229  template \
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, \
235  bool invert); \
236 
237 #define INSTANTIATE_convolveAndSubtract(TYPE) \
238 p_INSTANTIATE_convolveAndSubtract(Image, TYPE) \
239 p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)
240 /*
241  * Here are the instantiations.
242  *
243  * Do we need double diffim code? It isn't sufficient to remove it here; you'll have to also remove at
244  * least SpatialModelKernel<double>
245  */
248 
249 }}} // end of namespace lsst::ip::diffim
y
int y
Definition: SpanSet.cc:49
lsst::afw::image
Backwards-compatibility support for depersisting the old Calib (FluxMag0/FluxMag0Err) objects.
Definition: imageAlgorithm.dox:1
lsst::afw::math::ConvolutionControl::setDoNormalize
void setDoNormalize(bool doNormalize)
Definition: ConvolveImage.h:66
lsst::afw::image::ImageBase::assign
void assign(ImageBase const &rhs, lsst::geom::Box2I const &bbox=lsst::geom::Box2I(), ImageOrigin origin=PARENT)
Copy pixels from another image to a specified subregion of this image.
Definition: Image.cc:160
lsst::afw::image::Mask< lsst::afw::image::MaskPixel >
lsst::ip::diffim::ImageStatistics
Class to calculate difference image statistics.
Definition: ImageStatistics.h:59
lsst::afw::image::ImageBase::row_begin
x_iterator row_begin(int y) const
Return an x_iterator to the start of the y'th row.
Definition: ImageBase.h:399
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
lsst::afw::image::ImageBase::getHeight
int getHeight() const
Return the number of rows in the image.
Definition: ImageBase.h:296
math.h
lsst::afw::image::MaskedImage< PixelT >
lsst.pipe.drivers.visualizeVisit.background
background
Definition: visualizeVisit.py:37
image
afw::table::Key< afw::table::Array< ImagePixelT > > image
Definition: HeavyFootprint.cc:216
diffim.h
An include file to include the header files for lsst::ip::diffim.
lsst::afw::image::ImageBase::row_end
x_iterator row_end(int y) const
Return an x_iterator to the end of the y'th row.
Definition: ImageBase.h:402
x
double x
Definition: ChebyshevBoundedField.cc:277
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
INSTANTIATE_convolveAndSubtract
#define INSTANTIATE_convolveAndSubtract(TYPE)
Definition: ImageSubtract.cc:237
ptr
uint64_t * ptr
Definition: RangeSet.cc:88
image.h
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst::afw::image::MaskedImage::getVariance
VariancePtr getVariance() const
Return a (shared_ptr to) the MaskedImage's variance.
Definition: MaskedImage.h:1079
lsst::afw::math::convolve
void convolve(OutImageT &convolvedImage, InImageT const &inImage, KernelT const &kernel, ConvolutionControl const &convolutionControl=ConvolutionControl())
Convolve an Image or MaskedImage with a Kernel, setting pixels of an existing output image.
Definition: ConvolveImage.cc:190
Runtime.h
lsst::daf::base
Definition: Utils.h:47
lsst::afw::image::ImageBase::getDimensions
lsst::geom::Extent2I getDimensions() const
Return the image's size; useful for passing to constructors.
Definition: ImageBase.h:354
lsst::afw::math::ConvolutionControl
Parameters to control convolution.
Definition: ConvolveImage.h:50
LOGL_DEBUG
#define LOGL_DEBUG(logger, message...)
Definition: Log.h:504
lsst::afw::math
Definition: statistics.dox:6
lsst::ip::diffim::maskToEigenMatrix
Eigen::MatrixXi maskToEigenMatrix(lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
Definition: ImageSubtract.cc:80
lsst::ip::diffim::FindSetBits
Class to accumulate Mask bits.
Definition: FindSetBits.h:53
lsst::afw::image::MaskedImage::getImage
ImagePtr getImage() const
Return a (shared_ptr to) the MaskedImage's image.
Definition: MaskedImage.h:1046
lsst.pex::exceptions
Definition: Exception.h:37
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::afw::image::MaskedImage::getMask
MaskPtr getMask() const
Return a (shared_ptr to) the MaskedImage's mask.
Definition: MaskedImage.h:1058
Log.h
LSST DM logging module built on log4cxx.
lsst::afw::image::MaskedImage::getDimensions
lsst::geom::Extent2I getDimensions() const
Definition: MaskedImage.h:1085
lsst::afw::image::ImageBase::getWidth
int getWidth() const
Return the number of columns in the image.
Definition: ImageBase.h:294
lsst::sphgeom::invert
Relationship invert(Relationship r)
Given the relationship between two sets A and B (i.e.
Definition: Relationship.h:55