offsetImage.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/>.
 */
 
/*
 * Offset an Image (or Mask or MaskedImage) by a constant vector (dx, dy)
 */
#include <iterator>
#include "lsst/geom.h"
#include "lsst/afw/math/offsetImage.h"
#include "lsst/afw/image/ImageUtils.h"
#include "lsst/afw/math/warpExposure.h"
 
namespace afwImage = lsst::afw::image;
 
namespace lsst {
namespace afw {
namespace math {
 
template <typename ImageT>
std::shared_ptr<ImageT> offsetImage(ImageT const& inImage, float dx, float dy,
                                    std::string const& algorithmName, unsigned int buffer
 
) {
    std::shared_ptr<SeparableKernel> offsetKernel = makeWarpingKernel(algorithmName);
 
    std::shared_ptr<ImageT> buffImage;
    if (buffer > 0) {
        // Paste input image into buffered image
        lsst::geom::Extent2I const& dims = inImage.getDimensions();
        std::shared_ptr<ImageT> buffered(new ImageT(dims.getX() + 2 * buffer, dims.getY() + 2 * buffer));
        buffImage = buffered;
        lsst::geom::Box2I box(lsst::geom::Point2I(buffer, buffer), dims);
        buffImage->assign(inImage, box);
    } else {
        buffImage = std::make_shared<ImageT>(inImage);
    }
 
    if (offsetKernel->getWidth() > buffImage->getWidth() ||
        offsetKernel->getHeight() > buffImage->getHeight()) {
        throw LSST_EXCEPT(pexExcept::LengthError,
                          (boost::format("Image of size %dx%d is too small to offset using a %s kernel"
                                         "(minimum %dx%d)") %
                           buffImage->getWidth() % buffImage->getHeight() % algorithmName %
                           offsetKernel->getWidth() % offsetKernel->getHeight())
                                  .str());
    }
 
    //    std::shared_ptr<ImageT> convImage(new ImageT(buffImage, true)); // output image, a deep copy
    std::shared_ptr<ImageT> convImage(new ImageT(buffImage->getDimensions()));  // Convolved image
 
    int dOrigX, dOrigY;
    double fracX, fracY;
    // If the offset in both axes is in (-1, 1) use it as is, and don't shift the origin
    if (dx > -1 && dx < 1 && dy > -1 && dy < 1) {
        dOrigX = 0;
        dOrigY = 0;
        fracX = dx;
        fracY = dy;
    } else {
        dOrigX = static_cast<int>(std::floor(dx + 0.5));
        dOrigY = static_cast<int>(std::floor(dy + 0.5));
        fracX = dx - dOrigX;
        fracY = dy - dOrigY;
    }
 
    // We seem to have to pass -fracX, -fracY to setKernelParameters, for reasons RHL doesn't understand
    double dKerX = -fracX;
    double dKerY = -fracY;
 
    //
    // If the shift is -ve, the generated shift kernel (e.g. Lanczos5) is quite asymmetric, with the
    // largest coefficients to the left of centre.  We therefore move the centre of calculated shift kernel
    // one to the right to center up the largest coefficients
    //
    if (dKerX < 0) {
        offsetKernel->setCtr(offsetKernel->getCtr() + lsst::geom::Extent2I(1, 0));
    }
    if (dKerY < 0) {
        offsetKernel->setCtr(offsetKernel->getCtr() + lsst::geom::Extent2I(0, 1));
    }
 
    offsetKernel->setKernelParameters(std::make_pair(dKerX, dKerY));
 
    ConvolutionControl convolutionControl;
    convolutionControl.setDoNormalize(true);
    convolutionControl.setDoCopyEdge(true);
    convolve(*convImage, *buffImage, *offsetKernel, convolutionControl);
 
    std::shared_ptr<ImageT> outImage;
    if (buffer > 0) {
        lsst::geom::Box2I box(lsst::geom::Point2I(buffer, buffer), inImage.getDimensions());
        std::shared_ptr<ImageT> out(new ImageT(*convImage, box, afwImage::LOCAL, true));
        outImage = out;
    } else {
        outImage = convImage;
    }
 
    // adjust the origin; do this after convolution since convolution also sets XY0
    outImage->setXY0(lsst::geom::Point2I(inImage.getX0() + dOrigX, inImage.getY0() + dOrigY));
 
    return outImage;
}
 
//
// Explicit instantiations
//
#define INSTANTIATE(TYPE)                                                                                   \
    template std::shared_ptr<afwImage::Image<TYPE>> offsetImage(afwImage::Image<TYPE> const&, float, float, \
                                                                std::string const&, unsigned int);          \
    template std::shared_ptr<afwImage::MaskedImage<TYPE>> offsetImage(                                      \
            afwImage::MaskedImage<TYPE> const&, float, float, std::string const&, unsigned int);
 
INSTANTIATE(double)
INSTANTIATE(float)
INSTANTIATE(int)
}  // namespace math
}  // namespace afw
}  // namespace lsst