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LSST Data Management Base Package
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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/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
49namespace afwImage = lsst::afw::image;
50namespace afwMath = lsst::afw::math;
51namespace pexExcept = lsst::pex::exceptions;
52namespace dafBase = lsst::daf::base;
53
54namespace lsst {
55namespace ip {
56namespace diffim {
57
61template <typename PixelT>
62Eigen::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;
70 for (typename afwImage::Image<PixelT>::x_iterator ptr = img.row_begin(y);
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
80Eigen::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
114template <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::cpu_timer t;
124
125 afwImage::MaskedImage<PixelT> convolvedMaskedImage(templateImage.getDimensions());
127 convolutionControl.setDoNormalize(false);
128 afwMath::convolve(convolvedMaskedImage, templateImage,
129 convolutionKernel, convolutionControl);
130
131 /* Add in background */
132 *(convolvedMaskedImage.getImage()) += background;
133
134 /* Do actual subtraction */
135 convolvedMaskedImage -= scienceMaskedImage;
136
137 /* Invert */
138 if (invert) {
139 convolvedMaskedImage *= -1.0;
140 }
141
142 t.stop();
143 double time = 1e-9 * t.elapsed().wall;
144 LOGL_DEBUG("TRACE4.ip.diffim.convolveAndSubtract",
145 "Total compute time to convolve and subtract : %.2f s", time);
146
147 return convolvedMaskedImage;
148}
149
165template <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::cpu_timer t;
175
176 afwImage::MaskedImage<PixelT> convolvedMaskedImage(templateImage.getDimensions());
178 convolutionControl.setDoNormalize(false);
179 afwMath::convolve(*convolvedMaskedImage.getImage(), templateImage,
180 convolutionKernel, convolutionControl);
181
182 /* Add in background */
183 *(convolvedMaskedImage.getImage()) += background;
184
185 /* Do actual subtraction */
186 *convolvedMaskedImage.getImage() -= *scienceMaskedImage.getImage();
187
188 /* Invert */
189 if (invert) {
190 *convolvedMaskedImage.getImage() *= -1.0;
191 }
192 convolvedMaskedImage.getMask()->assign(*scienceMaskedImage.getMask());
193 convolvedMaskedImage.getVariance()->assign(*scienceMaskedImage.getVariance());
194
195 t.stop();
196 double time = 1e-9 * t.elapsed().wall;
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
208template
210
211template
213
214template class ImageStatistics<float>;
215template class ImageStatistics<double>;
216
217/* */
218
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
236#define INSTANTIATE_convolveAndSubtract(TYPE) \
237p_INSTANTIATE_convolveAndSubtract(Image, TYPE) \
238p_INSTANTIATE_convolveAndSubtract(MaskedImage, TYPE)
239/*
240 * Here are the instantiations.
241 *
242 * Do we need double diffim code? It isn't sufficient to remove it here; you'll have to also remove at
243 * least SpatialModelKernel<double>
244 */
247
248}}} // end of namespace lsst::ip::diffim
LSST DM logging module built on log4cxx.
#define LOGL_DEBUG(logger, message...)
Log a debug-level message using a varargs/printf style interface.
Definition Log.h:515
int getWidth() const
Return the number of columns in the image.
Definition ImageBase.h:294
lsst::geom::Extent2I getDimensions() const
Return the image's size; useful for passing to constructors.
Definition ImageBase.h:356
void assign(ImageBase const &rhs, lsst::geom::Box2I const &bbox=lsst::geom::Box2I(), ImageOrigin origin=PARENT)
Definition Image.cc:153
int getHeight() const
Return the number of rows in the image.
Definition ImageBase.h:296
x_iterator row_begin(int y) const
Return an x_iterator to the start of the y'th row.
Definition ImageBase.h:401
x_iterator row_end(int y) const
Return an x_iterator to the end of the y'th row.
Definition ImageBase.h:404
A class to represent a 2-dimensional array of pixels.
Definition Image.h:51
Represent a 2-dimensional array of bitmask pixels.
Definition Mask.h:82
A class to manipulate images, masks, and variance as a single object.
Definition MaskedImage.h:74
lsst::geom::Extent2I getDimensions() const
VariancePtr getVariance() const
Return a (shared_ptr to) the MaskedImage's variance.
MaskPtr getMask() const
Return a (shared_ptr to) the MaskedImage's mask.
ImagePtr getImage() const
Return a (shared_ptr to) the MaskedImage's image.
Parameters to control convolution.
void setDoNormalize(bool doNormalize)
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition Kernel.h:110
Class to calculate difference image statistics.
An include file to include the header files for lsst::ip::diffim.
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.
Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image< PixelT > const &img)
Turns a 2-d Image into a 2-d Eigen Matrix.
Eigen::MatrixXi maskToEigenMatrix(lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
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.
#define INSTANTIATE_convolveAndSubtract(TYPE)