Isr.cc

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// -*- lsst-c++ -*-
 
/*
 * LSST Data Management System
 * Copyright 2008, 2009, 2010 LSST Corporation.
 *
 * This product includes software developed by the
 * LSST Project (http://www.lsst.org/).
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the LSST License Statement and
 * the GNU General Public License along with this program.  If not,
 * see <http://www.lsstcorp.org/LegalNotices/>.
 */
 
#include <cmath>
 
#include "lsst/geom.h"
#include "lsst/afw/math.h"
#include "lsst/afw/math/Statistics.h"
#include "lsst/ip/isr/isr.h"
 
namespace lsst { namespace ip { namespace isr {
 
template <typename PixelT>
size_t maskNans(afw::image::MaskedImage<PixelT> const& mi, afw::image::MaskPixel maskVal,
                afw::image::MaskPixel allow)
{
    typedef typename afw::image::MaskedImage<PixelT>::x_iterator x_iterator;
    size_t nPix = 0;
    for (int y = 0; y != mi.getHeight(); ++y) {
        for (x_iterator ptr = mi.row_begin(y), end = mi.row_end(y); ptr != end; ++ptr) {
            if (!(ptr.mask() & allow) && (!std::isfinite(ptr.image()) ||
                                          !std::isfinite(ptr.variance()))) {
                nPix += 1;
                ptr.mask() |= maskVal;
            }
        }
    }
    return nPix;
}
size_t maskNans(afw::image::MaskedImage<PixelT> const& mi, afw::image::MaskPixel maskVal, {…}
 
template<typename ImagePixelT>
std::vector<double> fitOverscanImage(
    afw::image::MaskedImage<ImagePixelT> const& overscan,
    std::vector<std::string> badPixelMask,
    bool isTransposed
) {
    typedef afw::image::MaskedImage<ImagePixelT> MaskedImage;

    const int height = overscan.getHeight();
    const int width  = overscan.getWidth();
 
    int length = height;
    if (isTransposed) {
        length = width;
    }
 
    std::vector<double> values(length);
 
    afw::math::StatisticsControl statControl;
    statControl.setAndMask(overscan.getMask()->getPlaneBitMask(badPixelMask));
 
    const int x0 = overscan.getX0();
    const int y0 = overscan.getY0();
    auto origin = geom::Point2I(x0, y0);
    geom::Extent2I shifter;
    geom::Extent2I extents;
    if (isTransposed) {
        shifter = geom::Extent2I(1, 0);
        extents = geom::Extent2I(1, height);
    } else {
        shifter = geom::Extent2I(0, 1);
        extents = geom::Extent2I(width, 1);
    }
 
    for (int x = 0; x < length; ++x) {
        MaskedImage mi = MaskedImage(overscan, geom::Box2I(origin, extents));
        values[x] = afw::math::makeStatistics(mi, afw::math::MEDIAN, statControl).getValue();
        origin.shift(shifter);
    }
    return values;
}
std::vector<double> fitOverscanImage( {…}
 
template<typename ImagePixelT>
std::vector<double> fitOverscanImageMean(
    afw::image::MaskedImage<ImagePixelT> const& overscan,
    std::vector<std::string> badPixelMask,
    bool isTransposed
) {
    typedef afw::image::MaskedImage<ImagePixelT> MaskedImage;

    const int height = overscan.getHeight();
    const int width  = overscan.getWidth();
 
    int length = height;
    if (isTransposed) {
        length = width;
    }
 
    std::vector<double> values(length);
 
    afw::math::StatisticsControl statControl;
    statControl.setAndMask(overscan.getMask()->getPlaneBitMask(badPixelMask));
 
    const int x0 = overscan.getX0();
    const int y0 = overscan.getY0();
    auto origin = geom::Point2I(x0, y0);
    geom::Extent2I shifter;
    geom::Extent2I extents;
    if (isTransposed) {
        shifter = geom::Extent2I(1, 0);
        extents = geom::Extent2I(1, height);
    } else {
        shifter = geom::Extent2I(0, 1);
        extents = geom::Extent2I(width, 1);
    }
 
    for (int x = 0; x < length; ++x) {
        MaskedImage mi = MaskedImage(overscan, geom::Box2I(origin, extents));
        values[x] = afw::math::makeStatistics(mi, afw::math::MEAN, statControl).getValue();
        origin.shift(shifter);
    }
    return values;
}
std::vector<double> fitOverscanImageMean( {…}
 
std::string between(std::string &s, char ldelim, char rdelim) {
    std::string::iterator b(s.begin());
    std::string::iterator e(s.end());
    std::string::iterator lp;
    std::string::iterator rp;
 
    std::string result;
 
    if((lp = std::find(b, e, ldelim)) != e)
        if((rp = std::find(++lp, e, rdelim)) != e)
            result = std::string(lp, rp);
 
    return result;
}
std::string between(std::string &s, char ldelim, char rdelim) {…}
 
// Explicit instantiations
 
template
std::vector<double> fitOverscanImage<int>(
    afw::image::MaskedImage<int> const&, std::vector<std::string> badPixelMask, bool isTransposed);
template
std::vector<double> fitOverscanImage<float>(
    afw::image::MaskedImage<float> const&, std::vector<std::string> badPixelMask, bool isTransposed);
template
std::vector<double> fitOverscanImage<double>(
    afw::image::MaskedImage<double> const&, std::vector<std::string> badPixelMask, bool isTransposed);
 
template
std::vector<double> fitOverscanImageMean<int>(
    afw::image::MaskedImage<int> const&, std::vector<std::string> badPixelMask, bool isTransposed);
template
std::vector<double> fitOverscanImageMean<float>(
    afw::image::MaskedImage<float> const&, std::vector<std::string> badPixelMask, bool isTransposed);
template
std::vector<double> fitOverscanImageMean<double>(
    afw::image::MaskedImage<double> const&, std::vector<std::string> badPixelMask, bool isTransposed);
 
template class CountMaskedPixels<float>;
template class CountMaskedPixels<double>;
template class CountMaskedPixels<int>;
 
// Function to mask nans in a masked image
template size_t maskNans<float>(afw::image::MaskedImage<float> const&, afw::image::MaskPixel,
                                afw::image::MaskPixel);
template size_t maskNans<double>(afw::image::MaskedImage<double> const&, afw::image::MaskPixel,
                                 afw::image::MaskPixel);
template size_t maskNans<int>(afw::image::MaskedImage<int> const&, afw::image::MaskPixel,
                              afw::image::MaskPixel);
 
}}} // namespace lsst::ip::isr