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/*
-----------------------------------------------------------------------
Copyright 2012 iMinds-Vision Lab, University of Antwerp

Contact: astra@ua.ac.be
Website: http://astra.ua.ac.be


This file is part of the
All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox").

The ASTRA Toolbox 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.

The ASTRA Toolbox 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 GNU General Public License
along with the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.

-----------------------------------------------------------------------
$Id$
*/

#ifndef _INC_ASTRA_CUDACGLSALGORITHM
#define _INC_ASTRA_CUDACGLSALGORITHM

#include "Globals.h"
#include "Config.h"

#include "CudaReconstructionAlgorithm2D.h"

#ifdef ASTRA_CUDA

namespace astra {

/**
 * \brief
 * This class contains a GPU implementation of the CGLS algorithm.
 *
 * \par XML Configuration
 * \astra_xml_item{ProjectionGeometry, integer, Geometry of the projection data.}
 * \astra_xml_item{VolumeGeometry, integer, Geometry of the volume data.}
 * \astra_xml_item{ProjectionDataId, integer, Identifier of a projection data object as it is stored in the DataManager.}
 * \astra_xml_item{ReconstructionDataId, integer, Identifier of a volume data object as it is stored in the DataManager.}
 * \astra_xml_item_option{ReconstructionMaskId, integer, not used, Identifier of a volume data object that acts as a reconstruction mask. 0 = reconstruct on this pixel. 1 = don't reconstruct on this pixel.}
 *
 * \par MATLAB example
 * \astra_code{
 *		cfg = astra_struct('CGLS_CUDA');\n
 *		cfg.ProjectionGeometry = proj_geom;\n
 *		cfg.VolumeGeometry = vol_geom;\n
 *		cfg.ProjectionDataId = sino_id;\n
 *		cfg.ReconstructionDataId = recon_id;\n
 *		cfg.option.ReconstructionMaskId = mask_id;\n
 *		alg_id = astra_mex_algorithm('create'\, cfg);\n
 *		astra_mex_algorithm('iterate'\, alg_id\, 10);\n
 *		astra_mex_algorithm('delete'\, alg_id);\n
 * }
 *
 */

class AstraCGLS;

class _AstraExport CCudaCglsAlgorithm : public CCudaReconstructionAlgorithm2D
{
	
public:
	
	// type of the algorithm, needed to register with CAlgorithmFactory
	static std::string type;
	
	/** Default constructor, containing no code.
	 */
	CCudaCglsAlgorithm();
	
	/** Destructor.
	 */
	virtual ~CCudaCglsAlgorithm();

	/** Initialize the algorithm with a config object.
	 *
	 * @param _cfg Configuration Object
	 * @return initialization successful?
	 */
	virtual bool initialize(const Config& _cfg);

	/** Initialize class, use sequential order.
	 *
	 * @param _pProjector		Projector Object. (Ignored)
	 * @param _pSinogram		ProjectionData2D object containing the sinogram
	 * @param _pReconstruction	VolumeData2D for storing the reconstruction
	 * @param _iGPUindex		Index of GPU to use. (Starting at 0.)
	 * @param _iDetectorSuperSampling Supersampling factor for the FP.
	 * @param _iPixelSuperSampling  Square root of number of samples per voxel, used to compute the backprojection
	 */
	bool initialize(CProjector2D* _pProjector, 
					CFloat32ProjectionData2D* _pSinogram, 
					CFloat32VolumeData2D* _pReconstruction,
					int _iGPUindex = 0, int _iDetectorSuperSampling = 1,
					int _iPixelSuperSampling = 1);

	/** Get a description of the class.
	 *
	 * @return description string
	 */
	virtual std::string description() const;

};

// inline functions
inline std::string CCudaCglsAlgorithm::description() const { return CCudaCglsAlgorithm::type; };

} // end namespace

#endif // ASTRA_CUDA

#endif