splineresampler.h

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#ifndef AIMS_RESAMPLING_SPLINERESAMPLER_H
#define AIMS_RESAMPLING_SPLINERESAMPLER_H
 
#include <aims/resampling/resampler.h>
#include <cartobase/type/datatypetraits.h>
 
#include <cmath>
#include <vector>
 
namespace aims
{
 
// This implementation helper allows to change the implementation of methods
// depending if the data type is single-channel or multi-channel.
template<bool, typename>
struct MultiChannelResamplerSwitch;
 

template <class T>
class SplineResampler : public Resampler< T >
{
public:
 
  SplineResampler();
  ~SplineResampler() { }

  virtual int getOrder() const = 0;

  carto::VolumeRef<double> getSplineCoef( const carto::Volume< T >& inVolume,
                                          int t = 0,
                                          bool verbose = false );

  void reset();
 
  // Overridden for performance in case of multi-channel data
  void resample_inv_to_vox( const carto::Volume< T >& input_data,
                            const soma::Transformation3d&
                              inverse_transform_to_vox,
                            const T& background,
                            carto::Volume< T > & output_data,
                            bool verbose = false ) const CARTO_OVERRIDE;
  using Resampler<T>::resample_inv_to_vox;
 
  // Implements iteration over channels for multi-channel data types
  template<bool, typename> friend struct MultiChannelResamplerSwitch;
 
  typedef typename carto::DataTypeTraits<T>::ChannelType ChannelType;
 
  void resample_channel_inv_to_vox(
    const carto::Volume< ChannelType >& inVolume,
    const soma::Transformation3d& inverse_transform_to_vox,
    const ChannelType& outBackground,
    carto::Volume< ChannelType > & outVolume,
    bool verbose) const;
protected:
 
  void doResample( const carto::Volume< T > &inVolume,
                   const soma::Transformation3d &transform3d,
                   const T &outBackground,
                   const Point3df &outLocation,
                   T &outValue,
                   int t ) const CARTO_OVERRIDE;
 
  virtual void doResampleChannel( const carto::Volume< ChannelType > &inVolume,
                                  const soma::Transformation3d &transform3d,
                                  const ChannelType &outBackground,
                                  const Point3df &outLocation,
                                  ChannelType &outValue,
                                  int t ) const;

  void updateParameters( const carto::Volume< T >& inVolume, int t,
                         bool verbose ) const CARTO_OVERRIDE;
  virtual void updateParametersChannel( const carto::Volume< ChannelType >& inVolume, int t,
                         bool verbose ) const;
  void iirConvolveMirror( std::vector< double >& data ) const;

  int getFold( int i, int size ) const;

  virtual double getBSplineWeight( int i, double x ) const = 0;
 
  std::vector<double>  _poles;
  double               _gain;
 
  // These three mutable members handle the cache of spline coefficients
  mutable carto::VolumeRef<double>       _splineCoefficients;
  mutable const carto::Volume<ChannelType> *  _lastvolume;
  mutable int                            _lasttime;
};
 

  inline int mirrorCoeff( int i, int size )
  {
    i = std::abs( i );
    if ( i < size )
    {
 
      return i;
 
    }
    if ( size == 1 )
    {
 
      return 0;
 
    }
    int size2 = ( size * 2 ) - 2;
    int rem = i % size2;
    return ( rem < size ) ? rem : ( size2 - rem );
  }
 
} // namespace aims
 
#endif