IFFTOp.h

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/********************************************************************
**                Image Component Library (ICL)                    **
**                                                                 **
** Copyright (C) 2006-2013 CITEC, University of Bielefeld          **
**                         Neuroinformatics Group                  **
** Website: www.iclcv.org and                                      **
**          http://opensource.cit-ec.de/projects/icl               **
**                                                                 **
** File   : ICLFilter/src/ICLFilter/IFFTOp.h                       **
** Module : ICLFilter                                              **
** Authors: Christian Groszewski, Christof Elbrechter              **
**                                                                 **
**                                                                 **
** GNU LESSER GENERAL PUBLIC LICENSE                               **
** This file may be used under the terms of the GNU Lesser General **
** Public License version 3.0 as published by the                  **
**                                                                 **
** Free Software Foundation and appearing in the file LICENSE.GPL  **
** included in the packaging of this file.  Please review the      **
** following information to ensure the license requirements will   **
** be met: http://www.gnu.org/licenses/lgpl-3.0.txt                **
**                                                                 **
** The development of this software was supported by the           **
** Excellence Cluster EXC 277 Cognitive Interaction Technology.    **
** The Excellence Cluster EXC 277 is a grant of the Deutsche       **
** Forschungsgemeinschaft (DFG) in the context of the German       **
** Excellence Initiative.                                          **
**                                                                 **
********************************************************************/

#pragma once
#include <ICLCore/Img.h>
#include <ICLFilter/UnaryOp.h>
#include <ICLMath/FFTUtils.h>
#include <cmath>
#include <complex>
#include <ICLUtils/BasicTypes.h>
#include <ICLMath/DynMatrix.h>
namespace icl{
  namespace filter{

    class IFFTOp : public UnaryOp{
      
      private:
      class Data;
      
      Data *m_data;
      
      //Applies ifft/idft on all channel of sourceimage.
      template<class SrcT, class DstT>
      void apply_internal(const core::Img<SrcT> &src, core::Img<DstT> &dst,
                          math::DynMatrix<std::complex<DstT> > &buf, 
                          math::DynMatrix<std::complex<DstT> > &dstBuf);
      
      //Adapts sourceimage before ifft/idft computation.
      template<class T>
      const core::Img<T> *adapt_source(const core::Img<T> *src);
      
      //Applies an inplace ifftshift  after computation of the ifft.
      template<typename T>
      void apply_inplace_ifftshift(math::DynMatrix<T> &m);
      
      public:
      

      enum SizeAdaptionMode{
        NO_SCALE,
        PAD_REMOVE,
        SCALE_UP,
        SCALE_DOWN
      };
      
      
      //Modes how the destinationimage will be created.
      enum ResultMode{
        REAL_ONLY,
        IMAG_ONLY,
        TWO_CHANNEL_COMPLEX
      };
  

      IFFTOp(ResultMode rm=REAL_ONLY, SizeAdaptionMode sam=NO_SCALE,
             utils::Rect roi=Rect(0,0,0,0),bool join=true, 
             bool ifftshift=true, bool forceIDFT=false);
  
      ~IFFTOp();
  

      void setJoinMatrix(bool pJoin);
  

      bool getJoinMatrix();
  

      void setROI(utils::Rect roi);
  

      Rect getRoi();
  
      /*@param rm the resultmode to be set*/
      void setResultMode(ResultMode rm);
  

      int getResultMode();
  

      void setSizeAdaptionMode(SizeAdaptionMode sam);
  

      int getSizeAdaptionMode();
  

      bool getForceIDFT();
  

      void setForceIDFT(bool pForceDFT);
  

      virtual void apply(const core::ImgBase *src, core::ImgBase **dst);
  
      using UnaryOp::apply;
    };
  } // namespace filter
}