ImageStatistics.h

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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/>.
 */
 
#ifndef LSST_IP_DIFFIM_IMAGESTATISTICS_H
#define LSST_IP_DIFFIM_IMAGESTATISTICS_H

#include <limits>
#include "boost/shared_ptr.hpp"
#include "lsst/afw/image.h"
#include "lsst/pex/policy/Policy.h"
#include "lsst/pex/logging/Trace.h"
#include "lsst/utils/ieee.h"

namespace lsst { 
namespace ip { 
namespace diffim {
    
    template <typename PixelT>
    class ImageStatistics {
    public:
        typedef boost::shared_ptr<ImageStatistics> Ptr;
        typedef typename lsst::afw::image::MaskedImage<PixelT>::x_iterator x_iterator;

        ImageStatistics(lsst::pex::policy::Policy const& policy) : 
        _xsum(0.), _x2sum(0.), _npix(0), _bpMask(0) {
            
            std::vector<std::string> detBadMaskPlanes = policy.getStringArray("badMaskPlanes");
            for (std::vector<std::string>::iterator mi = detBadMaskPlanes.begin();
                 mi != detBadMaskPlanes.end(); ++mi){

                try {
                    _bpMask |= lsst::afw::image::Mask<lsst::afw::image::MaskPixel>::getPlaneBitMask(*mi);
                } catch (pexExcept::Exception& e) {
                    lsst::pex::logging::TTrace<6>("lsst.ip.diffim.ImageStatistics",
                                                  "Cannot update bad bit mask with %s", (*mi).c_str());
                    lsst::pex::logging::TTrace<7>("lsst.ip.diffim.ImageStatistics",
                                                  e.what());
                }
            }
        } ;
        virtual ~ImageStatistics() {} ;

        // Clear the accumulators
        void reset() { _xsum = _x2sum = 0.; _npix = 0;}

        // Work your magic
        void apply(lsst::afw::image::MaskedImage<PixelT> const& image) {
            apply(image, -1);
        }

        void apply(lsst::afw::image::MaskedImage<PixelT> const& image, int core) {
            reset();
            int y0, y1, x0, x1;
            if (core == -1) {
                y0 = 0;
                y1 = image.getHeight();
                x0 = 0;
                x1 = image.getWidth();
            }
            else {
                y0 = std::max(0, image.getHeight()/2 - core);
                y1 = std::min(image.getHeight(), image.getHeight()/2 + core + 1);
                x0 = std::max(0, image.getWidth()/2 - core);
                x1 = std::min(image.getWidth(), image.getWidth()/2 + core + 1);
            }
                
            for (int y = y0; y != y1; ++y) {
                for (x_iterator ptr = image.x_at(x0, y), end = image.x_at(x1, y); 
                     ptr != end; ++ptr) {
                    if (!((*ptr).mask() & _bpMask)) {
                        double const ivar = 1. / (*ptr).variance();
                        if (lsst::utils::lsst_isfinite(ivar)) {
                            _xsum  += (*ptr).image() * sqrt(ivar);
                            _x2sum += (*ptr).image() * (*ptr).image() * ivar;
                            _npix  += 1;
                        }
                    }
                }
            }
            if ((!lsst::utils::lsst_isfinite(_xsum)) || (!lsst::utils::lsst_isfinite(_x2sum))) {
                throw LSST_EXCEPT(pexExcept::Exception, 
                                  "Nan/Inf in ImageStatistics.apply");
            }
        }

        void setBpMask(lsst::afw::image::MaskPixel bpMask) {_bpMask = bpMask;}
        lsst::afw::image::MaskPixel getBpMask() {return _bpMask;}

        // Mean of distribution
        double getMean() const { 
            return (_npix > 0) ? _xsum/_npix : std::numeric_limits<double>::quiet_NaN(); 
        }
        // Variance of distribution 
        double getVariance() const { 
            return (_npix > 1) ? (_x2sum/_npix - _xsum/_npix * _xsum/_npix) * _npix/(_npix-1.) : 
                std::numeric_limits<double>::quiet_NaN(); 
        }
        // RMS
        double getRms() const { 
            return sqrt(getVariance());
        }
        // Return the number of good pixels
        int getNpix() const { return _npix; }

        // Return Sdqa rating
        bool evaluateQuality(lsst::pex::policy::Policy const& policy) {
            if ( fabs(getMean())     > policy.getDouble("maximumFootprintResidualMean") ) return false;
            if ( getRms()            > policy.getDouble("maximumFootprintResidualStd")  ) return false;
            return true;
        }           
        
    private:
        double _xsum;
        double _x2sum;
        int    _npix;
        lsst::afw::image::MaskPixel _bpMask;
    };


}}} // end of namespace lsst::ip::diffim


#endif