Convolution.h

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//     ____   ______ __
//    / __ \ / ____// /
//   / /_/ // /    / /
//  / ____// /___ / /___   PixInsight Class Library
// /_/     \____//_____/   PCL 2.7.0
// ----------------------------------------------------------------------------
// pcl/Convolution.h - Released 2024-06-18T15:48:54Z
// ----------------------------------------------------------------------------
// This file is part of the PixInsight Class Library (PCL).
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// ----------------------------------------------------------------------------
 
#ifndef __PCL_Convolution_h
#define __PCL_Convolution_h
 
 
#include <pcl/Defs.h>
#include <pcl/Diagnostics.h>
 
#include <pcl/AutoPointer.h>
#include <pcl/InterlacedTransformation.h>
#include <pcl/KernelFilter.h>
#include <pcl/ParallelProcess.h>
#include <pcl/ThresholdedTransformation.h>
 
#define __PCL_CONVOLUTION_TINY_WEIGHT 1.0e-20
 
namespace pcl
{
 
// ----------------------------------------------------------------------------
 
class PCL_CLASS Convolution : public InterlacedTransformation,
                              public ThresholdedTransformation,
                              public ParallelProcess
{                          // NB: ImageTransformation is a virtual base class
public:
 
   Convolution() = default;
 
   Convolution( const KernelFilter& filter )
   {
      SetFilter( filter );
   }
 
   Convolution( const Convolution& x )
      : InterlacedTransformation( x )
      , ThresholdedTransformation( x )
      , ParallelProcess( x )
      , m_weight( x.m_weight )
      , m_highPass( x.m_highPass )
      , m_rawHighPass( x.m_rawHighPass )
      , m_rescaleHighPass( x.m_rescaleHighPass )
   {
      if ( !x.m_filter.IsNull() )
         m_filter = x.m_filter->Clone();
   }
 
   Convolution( Convolution&& ) = default;
 
   ~Convolution() override
   {
   }
 
   Convolution& operator =( const Convolution& x )
   {
      if ( &x != this )
      {
         (void)InterlacedTransformation::operator =( x );
         (void)ThresholdedTransformation::operator =( x );
         (void)ParallelProcess::operator =( x );
         if ( x.m_filter.IsNull() )
            m_filter.Destroy();
         else
            m_filter = x.m_filter->Clone();
         m_weight = x.m_weight;
         m_highPass = x.m_highPass;
         m_rawHighPass = x.m_rawHighPass;
         m_rescaleHighPass = x.m_rescaleHighPass;
      }
      return *this;
   }
 
   Convolution& operator =( Convolution&& ) = default;
 
   const KernelFilter& Filter() const
   {
      PCL_PRECONDITION( !m_filter.IsNull() )
      return *m_filter;
   }
 
   void SetFilter( const KernelFilter& filter )
   {
      m_filter = filter.Clone();
      CacheFilterProperties();
   }
 
   double FilterWeight() const
   {
      return m_weight;
   }
 
   bool IsHighPassFilter() const
   {
      return m_highPass;
   }
 
   bool IsHighPassRescalingEnabled() const
   {
      return m_rescaleHighPass;
   }
 
   void EnableHighPassRescaling( bool enable = true )
   {
      m_rescaleHighPass = enable;
   }
 
   void DisableHighPassRescaling( bool disable = true )
   {
      EnableHighPassRescaling( !disable );
   }
 
   bool IsRawHighPassEnabled() const
   {
      return m_rawHighPass;
   }
 
   void EnableRawHighPass( bool enable = true )
   {
      m_rawHighPass = enable;
   }
 
   void DisableRawHighPass( bool disable = true )
   {
      EnableRawHighPass( !disable );
   }
 
   int OverlappingDistance() const
   {
      PCL_PRECONDITION( !m_filter.IsNull() )
      return m_filter->Size() + (m_filter->Size() - 1)*(InterlacingDistance() - 1);
   }
 
protected:
 
   /*
    * The response function for convolution is defined as a kernel filter.
    */
   AutoPointer<KernelFilter> m_filter;
 
   /*
    * Cached filter properties.
    */
   double m_weight = 0;       // filter weight for low-pass normalization
   bool   m_highPass = false; // true if this is a high-pass filter
 
   /*
    * User-selectable options
    */
   bool   m_rawHighPass = false;     // neither truncate nor normalize out-of-range values
   bool   m_rescaleHighPass = false; // truncate out-of-range values instead of normalize
 
   /*
    * In-place 2-D nonseparable convolution algorithm in the spatial domain.
    */
   void Apply( pcl::Image& ) const override;
   void Apply( pcl::DImage& ) const override;
   void Apply( pcl::UInt8Image& ) const override;
   void Apply( pcl::UInt16Image& ) const override;
   void Apply( pcl::UInt32Image& ) const override;
 
private:
 
   void CacheFilterProperties()
   {
      PCL_PRECONDITION( !m_filter.IsNull() )
      PCL_PRECONDITION( !m_filter->IsEmpty() )
      ValidateFilter();
      m_highPass = m_filter->IsHighPassFilter();
      m_weight = m_filter->Weight();
      if ( pcl::Abs( m_weight ) < __PCL_CONVOLUTION_TINY_WEIGHT )
         m_weight = 1;
   }
 
   void ValidateFilter() const;
};
 
// ----------------------------------------------------------------------------
 
} // pcl
 
#endif   // __PCL_Convolution_h
 
// ----------------------------------------------------------------------------
// EOF pcl/Convolution.h - Released 2024-06-18T15:48:54Z