/usr/include/OTB-5.8/otbWaveletPacketTransform.h is in libotb-dev 5.8.0+dfsg-3.
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Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
Copyright (c) Institut Mines-Telecom. All rights reserved.
See IMTCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbWaveletPacketTransform_h
#define otbWaveletPacketTransform_h
#include "itkProgressAccumulator.h"
#include "otbImageToImageListFilter.h"
#include "otbImageListToImageFilter.h"
#include "otbWaveletGenerator.h"
#include "otbWaveletOperatorBase.h"
#include "otbWaveletPacketDecompositionCosts.h"
namespace otb {
/** \class WaveletPacketTransform
* \brief Wavelet packet transformation framework
*
* This class defines the Wavelet Packet transformation of an image
* by using a (templated) elementary wavelet transform and (templated)
* cost criteria to stop the decomposition.
*
* It yields a list of images on the Wavelet::FORWARD decomposition. Conversely,
* it takes an image list but yield a single list on the Wavelet::INVERSE transformation.
* Hence, the Forward vs Inverse transformation has been split into two classes
* (templated with otb::Wavelet::FORWARD and otb::Wavelet::INVERSE). The Forward class comes from
* ImageToImageListFilter while the latter comes from a
* ImageListToImageFilter. Thse two classes have specific declaration
* and implementation.
*
* The user is supposed to initialize Cost properly (through GetCost() macro)
* depending on its type before calling an Update(). The Cost class has to contain
* a New() and Evaluate() function.
*
* \sa FullyDecomposedWaveletPacketCost
* \sa WaveletFilterBank
* \sa WaveletTransform
*
* \ingroup OTBWavelet
*/
template <class TInputImage, class TOutputImage, class TFilter,
Wavelet::WaveletDirection TDirectionOfTransformation,
class TCost = FullyDecomposedWaveletPacketCost<TInputImage> >
class ITK_EXPORT WaveletPacketTransform
: public itk::ImageSource<TOutputImage>
{
public:
/** Standard typedefs */
typedef WaveletPacketTransform Self;
typedef itk::ImageSource<TOutputImage> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Type macro */
itkNewMacro(Self);
/** Creation through object factory macro */
itkTypeMacro(WaveletPacketTransform, ImageSource);
protected:
/** But this class cannot do any thing! No constructor is implemented */
WaveletPacketTransform();
virtual ~WaveletPacketTransform();
private:
WaveletPacketTransform (const Self &);
void operator =(const Self&);
};
/** \class WaveletPacketTransform
* \brief Wavelet packet forward transformation framework
*
* This class defines the Wavelet Packet transformation of an image
* by using a (templated) elementary wavelet transform and (templated)
* cost criteria to stop the decomposition.
*
* It yields a list of images on the Wavelet::FORWARD decomposition. Conversely,
* it takes an image list but yield a single list on the Wavelet::INVERSE transformation.
* Hence, the Forward vs Inverse transformation has been split into two classes
* (templated with otb::Wavelet::FORWARD and otb::Wavelet::INVERSE). The Forward class comes from
* ImageToImageListFilter while the latter comes from a
* ImageListToImageFilter. Thse two classes have specific declaration
* and implementation.
*
* The user is supposed to initialize Cost properly (through GetCost() macro)
* depending on its type before calling an Update(). The Cost class has to contain
* a New() and Evaluate() function.
*
* This is the specific declaration of the Forward transformation.
*
* \sa FullyDecomposedWaveletPacketCost
* \sa WaveletFilterBank
* \sa WaveletTransform
*
* \ingroup OTBWavelet
*/
template <class TInputImage, class TOutputImage, class TFilter, class TCost>
class ITK_EXPORT WaveletPacketTransform<TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost>
: public ImageToImageListFilter<TInputImage, TOutputImage>
{
public:
/** Standard typedefs */
typedef WaveletPacketTransform Self;
typedef ImageToImageListFilter<TInputImage, TOutputImage> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Type macro */
itkNewMacro(Self);
/** Creation through object factory macro */
itkTypeMacro(WaveletPacketTransform, ImageToImageListFilter);
typedef TInputImage InputImageType;
typedef typename InputImageType::Pointer InputImagePointerType;
typedef typename InputImageType::ConstPointer InputImageConstPointerType;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename InputImageType::SizeType SizeType;
typedef typename InputImageType::ValueType ValueType;
typedef typename Superclass::OutputImageType OutputImageType;
typedef typename Superclass::OutputImagePointerType OutputImagePointerType;
typedef typename Superclass::OutputImageListType OutputImageListType;
typedef typename OutputImageListType::Pointer OutputImageListPointerType;
typedef typename OutputImageListType::Iterator OutputImageIterator;
typedef TFilter FilterType;
typedef typename FilterType::Pointer FilterPointerType;
typedef ObjectList<FilterType> FilterListType;
typedef typename FilterListType::Pointer FilterListPointerType;
typedef typename FilterListType::Iterator FilterListIterator;
itkGetObjectMacro(FilterList, FilterListType);
typedef TCost CostType;
typedef typename CostType::Pointer CostPointerType;
itkGetObjectMacro(Cost, CostType);
typedef Wavelet::WaveletDirection DirectionOfTransformationEnumType;
itkStaticConstMacro(DirectionOfTransformation, DirectionOfTransformationEnumType, Wavelet::FORWARD);
/** Get the recursive description of the packet decomposition */
const std::vector<bool>& GetWaveletPacketRule() const
{
return this->m_WaveletPacketRule;
}
/** Get information on the decomposition */
itkGetMacro(NumberOfFilters, unsigned int);
itkGetMacro(DepthOfDecomposition, unsigned int);
itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
/**
* Set/Get the level of down sampling of the image used in forward algorithm.
* (or upsampling in the inverse case)
*
* In this implementation, we are not (yet?) dealing with M-band decomposition
* then m_SubsampleImageFactor is most likely to be 1 or 2... but in any case integer
* and not real...
*/
itkGetMacro(SubsampleImageFactor, unsigned int);
itkSetMacro(SubsampleImageFactor, unsigned int);
protected:
WaveletPacketTransform();
~WaveletPacketTransform() ITK_OVERRIDE {}
/** Generate data redefinition.
* This class does not performs multi-threading directly. But it uses step by step the
* GenerateData() of TFilter. If This one can thread, the transformation is threaded
* (e.g. WaveletFilterBank) */
void GenerateData() ITK_OVERRIDE;
/** Performs (if any) the local decomposition (called recursively) */
virtual void GenerateData(unsigned int depth, OutputImageType * outputPtr,
itk::ProgressAccumulator * accumulator);
private:
WaveletPacketTransform (const Self &);
void operator =(const Self&);
/**
* For multiscale decomposition, m_SubsampleImageFactor is set to 1.
* It yields also a stationnary decomposition.
* For multiresolution decomposition, most of the time, m_SubsampleImageFactor is
* to be set to 2. This is its default value.
*/
unsigned int m_SubsampleImageFactor;
// Internal informative data
unsigned int m_NumberOfFilters;
unsigned int m_DepthOfDecomposition;
FilterListPointerType m_FilterList;
CostPointerType m_Cost;
std::vector<bool> m_WaveletPacketRule;
}; // end of class
/** \class WaveletPacketTransform
* \brief Wavelet packet inverse transformation framework
*
* This class defines the Wavelet Packet transformation of an image
* by using a (templated) elementary wavelet transform and (templated)
* cost criteria to stop the decomposition.
*
* It yields a list of images on the Wavelet::FORWARD decomposition. Conversely,
* it takes an image list but yield a single list on the Wavelet::INVERSE transformation.
* Hence, the Forward vs Inverse transformation has been split into two classes
* (templated with otb::Wavelet::FORWARD and otb::Wavelet::INVERSE). The Forward class comes from
* ImageToImageListFilter while the latter comes from a
* ImageListToImageFilter. Thse two classes have specific declaration
* and implementation.
*
* This is the specific declaration of the Inverse transformation.
*
* In this specialization, the Cost template class is not useful and then
* declared to as FullyDecomposedWaveletPacketCost.
*
* \sa FullyDecomposedWaveletPacketCost
* \sa WaveletFilterBank
* \sa WaveletTransform
*
* \ingroup OTBWavelet
*/
template <class TInputImage, class TOutputImage, class TFilter>
class ITK_EXPORT WaveletPacketTransform<TInputImage, TOutputImage, TFilter,
Wavelet::INVERSE, FullyDecomposedWaveletPacketCost<TInputImage> >
: public ImageListToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard typedefs */
typedef WaveletPacketTransform Self;
typedef ImageListToImageFilter<TInputImage, TOutputImage> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Type macro */
itkNewMacro(Self);
/** Creation through object factory macro */
itkTypeMacro(WaveletPacketTransform, ImageListToImageFilter);
typedef typename Superclass::InputImageType InputImageType;
typedef typename InputImageType::Pointer InputImagePointerType;
typedef typename InputImageType::ConstPointer InputImageConstPointerType;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename InputImageType::SizeType SizeType;
typedef typename InputImageType::IndexType IndexType;
typedef typename InputImageType::ValueType ValueType;
typedef typename Superclass::InputImageListType InputImageListType;
typedef typename InputImageListType::Pointer InputImageListPointerType;
typedef typename InputImageListType::Iterator InputImageIterator;
typedef typename Superclass::OutputImageType OutputImageType;
typedef typename Superclass::OutputImagePointerType OutputImagePointerType;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::SizeType OutputImageSizeType;
typedef typename OutputImageType::IndexType OutputImageIndexType;
typedef TFilter FilterType;
typedef typename FilterType::Pointer FilterPointerType;
typedef ObjectList<FilterType> FilterListType;
typedef typename FilterListType::Pointer FilterListPointerType;
typedef typename FilterListType::Iterator FilterListIterator;
itkGetObjectMacro(FilterList, FilterListType);
typedef Wavelet::WaveletDirection DirectionOfTransformationEnumType;
itkStaticConstMacro(DirectionOfTransformation, DirectionOfTransformationEnumType, Wavelet::INVERSE);
/** Get/Set the decomposition rule */
const std::vector<bool>& GetWaveletPacketRule() const
{
return this->m_WaveletPacketRule;
}
void SetWaveletPacketRule(const std::vector<bool>& rule)
{
this->m_WaveletPacketRule = rule;
this->Modified();
}
/**
* Set/Get the level of down sampling of the image used in forward algorithm.
* (or upsampling in the inverse case)
*
* In this implementation, we are not (yet?) dealing with M-band decomposition
* then m_SubsampleImageFactor is most likely to be 1 or 2... but in any case integer
* and not real...
*/
itkGetMacro(SubsampleImageFactor, unsigned int);
itkSetMacro(SubsampleImageFactor, unsigned int);
/** Get information on the decomposition */
itkGetMacro(NumberOfFilters, unsigned int);
itkGetMacro(DepthOfDecomposition, unsigned int);
itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
protected:
WaveletPacketTransform();
~WaveletPacketTransform() ITK_OVERRIDE {}
/** GenerateOutputInformation
* Set the size of the output image depending on the decimation factor
* Copy information from the input image if existing.
**/
void GenerateOutputInformation() ITK_OVERRIDE;
/** Generate data redefinition.
* This class does not performs multi-threading directly. But it uses step by step the
* GenerateData() of TFilter. If This one can thread, the transformation is threaded
* (e.g. WaveletFilterBank) */
void GenerateData() ITK_OVERRIDE;
/** Performs (if any) the local decomposition (called recursively) */
virtual unsigned int SetInputFilters(unsigned int& ruleID, InputImageIterator& inputIter,
unsigned int filterID);
/** Get the depth of decomposition and the number of filters from m_WaveletPacketRule */
void InterpretRule();
void InterpretRule(unsigned int& ruleID, unsigned int curDepth);
private:
WaveletPacketTransform (const Self &);
void operator =(const Self&);
/**
* For multiscale decomposition, m_SubsampleImageFactor is set to 1.
* It yields also a stationnary decomposition.
* For multiresolution decomposition, most of the time, m_SubsampleImageFactor is
* to be set to 2. This is its default value.
*/
unsigned int m_SubsampleImageFactor;
// Internal informative data
unsigned int m_NumberOfFilters;
unsigned int m_DepthOfDecomposition;
FilterListPointerType m_FilterList;
std::vector<bool> m_WaveletPacketRule;
}; // end of class
} // end of namespace
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbWaveletPacketTransform.txx"
#endif
#endif
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