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tenmon/3rdparty/include/pcl/MultiscaleMedianTransform.h
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// ____ ______ __
// / __ \ / ____// /
// / /_/ // / / /
// / ____// /___ / /___ PixInsight Class Library
// /_/ \____//_____/ PCL 2.4.23
// ----------------------------------------------------------------------------
// pcl/MultiscaleMedianTransform.h - Released 2022-03-12T18:59:29Z
// ----------------------------------------------------------------------------
// This file is part of the PixInsight Class Library (PCL).
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// ----------------------------------------------------------------------------
#ifndef __PCL_MultiscaleMedianTransform_h
#define __PCL_MultiscaleMedianTransform_h
/// \file pcl/MultiscaleMedianTransform.h
#include <pcl/Defs.h>
#include <pcl/Diagnostics.h>
#include <pcl/RedundantMultiscaleTransform.h>
namespace pcl
{
// ----------------------------------------------------------------------------
/*!
* \class MultiscaleMedianTransform
* \brief Multiscale median transform / hybrid median-wavelet transform.
*
* The multiscale median transform algorithm produces a set {w1,w2,...,wN,cN},
* where each wj is a set of coefficients at scale j, which we call <em>detail
* layer</em>, and cN is a large-scale smoothed residual, which we call
* <em>residual layer</em>. Each layer has the same dimensions as the input
* image, hence the generated multiscale transform is redundant.
*
* The algorithm applies successive median filters with a structuring element
* of increasing size 2*s + 1, where s grows following a monotonically
* increasing sequence (the dyadic sequence 1, 2, 4, ... is used by default).
* Multiscale coefficients are the differences between each pair of successive
* median filtered images.
*
* The hybrid median-wavelet transform merges the multiscale median and wavelet
* transforms in a single high-level operation. Wavelets are used to represent
* nonsignificant structures, such as noise and smooth regions, while median
* filtering is used to represent strong significant structures. This hybrid
* transform provides an optimal representation of the image by combining the
* strongest points of both techniques: wavelets are good to support smooth
* structures with weak variations, while the median transform is better at
* isolating significant, high-contrast structures.
*
* The reconstruction algorithm consists of the sum of all wj multiscale layers
* for 1 <= j <= N, plus the residual layer cN.
*
* <b>References</b>
*
* \li Starck, J.-L., Murtagh, F. and J. Fadili, A. (2010), <em>Sparse %Image
* and Signal Processing: Wavelets, Curvelets, Morphological Diversity</em>,
* Cambridge University Press.
*
* \li Barth, Timothy J., Chan, Tony, Haimes, Robert (Eds.) (2002),
* <em>Multiscale and Multiresolution Methods: Theory and Applications</em>,
* Springer. invited paper: Jean-Luc Starck, <em>Nonlinear Multiscale
* Transforms</em>, pp. 239-279.
*
* In our implementation, each layer in a multiscale median transform is a
* floating-point image with the same dimensions as the transformed image.
* Layers are indexed from 0 to N. Layers at indexes from 0 to N-1 are detail
* layers, whose elements are actually median difference coefficients. Pixels
* in a multiscale layer can be negative, zero or positive real values.
*
* The last layer, at index N, is the large-scale residual layer. Pixels in the
* residual layer image can only be positive or zero real values.
*
* The original algorithm uses square structuring elements. Square structures
* lead to relatively simple and efficient implementations, but unfortunately
* they tend to generate objectionable artifacts around round shapes. In our
* implementation we use special multiway structures to minimize these
* artifacts and to improve the behavior of the algorithm to isolate isotropic
* image structures.
*
* \ingroup multiscale_transforms
*/
class PCL_CLASS MultiscaleMedianTransform : public RedundantMultiscaleTransform
{
public:
/*!
* Represents a multiscale transform layer.
*/
typedef RedundantMultiscaleTransform::layer layer;
/*!
* Represents a set of multiscale transform layers, or multiscale transform.
*/
typedef RedundantMultiscaleTransform::transform transform;
/*!
* Represents a set of layer enabled/disabled states.
*/
typedef RedundantMultiscaleTransform::layer_state_set layer_state_set;
/*!
* Constructs a %MultiscaleMedianTransform instance.
*
* \param n Number of detail layers. The transform will consist of \a n
* detail layers plus a residual layer, that is n+1 total
* layers. The default value is 4.
*
* \param d Scaling sequence. If \a d <= 0, the transform will use the
* dyadic sequence: 1, 2, 4, ... 2^i. If \a d > 0, its value is
* the distance in pixels between two successive scales.
*
* The default values for \a n and \a d are 4 and 0, respectively (four
* layers and the dyadic scaling sequence).
*
* Successive layers are computed by applying median filters with
* structuring elements of size 2*s + 1. The scaling sequence parameter \a d
* is interpreted as follows:
*
* - If the specified sequence parameter \a d is zero 0, then the transform
* uses the dyadic sequence: s = 1, 2, 4, ..., 2^j for 0 <= j < n.
*
* - If \a d > 0, then \a d is the constant increment in pixels between two
* successive scales (linear scaling sequence): s = d*j for 1 <= j < n.
*/
MultiscaleMedianTransform( int n = 4, int d = 0 )
: RedundantMultiscaleTransform( n, d )
{
}
/*!
* Copy constructor.
*/
MultiscaleMedianTransform( const MultiscaleMedianTransform& ) = default;
/*!
* Move constructor.
*/
MultiscaleMedianTransform( MultiscaleMedianTransform&& ) = default;
/*!
* Destroys this %MultiscaleMedianTransform object. All existing transform
* layers are destroyed and deallocated.
*/
virtual ~MultiscaleMedianTransform()
{
}
/*!
* Copy assignment operator. Returns a reference to this object.
*/
MultiscaleMedianTransform& operator =( const MultiscaleMedianTransform& ) = default;
/*!
* Move assignment operator. Returns a reference to this object.
*/
MultiscaleMedianTransform& operator =( MultiscaleMedianTransform&& ) = default;
/*!
* Returns true if this transform applies special multiway structuring
* elements for improved isotropic behavior. Returns false if simple
* structures are used instead for improved execution speed, at the cost of
* some performance degradation in the isotropic behavior of the transform.
*/
bool UsingMultiwayStructures() const
{
return m_multiwayStructures;
}
/*!
* Enables the use of multiway structuring elements. See
* UsingMultiwayStructures() for more information.
*
* \note Calling this member function implicitly deletes all existing
* transform layers.
*/
void EnableMultiwayStructures( bool enable = true )
{
DestroyLayers();
m_multiwayStructures = enable;
}
/*!
* Disables the use of multiway structuring elements. See
* UsingMultiwayStructures() for more information.
*
* \note Calling this member function implicitly deletes all existing
* transform layers.
*/
void DisableMultiwayStructures( bool disable = true )
{
EnableMultiwayStructures( !disable );
}
/*!
* Returns true iff this object performs a hybrid median-wavelet transform.
* Returns false if this is a pure multiscale median transform.
*/
bool IsMedianWaveletTransform() const
{
return m_medianWaveletTransform;
}
/*!
* Causes this object to perform a hybrid wavelet-median transform.
*
* \param threshold Threshold in sigma units for per-layer suppression of
* significant median transform coefficients. Image
* structures represented by median coefficients with
* absolute values smaller than this threshold will be
* supported by wavelet transform coefficients. The
* default value is 5 sigma.
*
* \note Calling this member function implicitly deletes all existing
* transform layers.
*/
void SetMedianWaveletTransform( float threshold = 5 )
{
DestroyLayers();
m_medianWaveletTransform = true;
m_medianWaveletThreshold = Max( 0.F, threshold );
}
/*!
* Sets a threshold in sigma units for per-layer suppression of significant
* median transform coefficients. Image structures represented by median
* coefficients with absolute values smaller than this threshold will be
* supported by wavelet transform coefficients. The larger this value, the
* more image structures will be supported by wavelet coefficients.
*
* By default the median-wavelet threshold is 5 sigma. This is normally
* large enough to prevent inclusion of the noise in median transform
* coefficients.
*
* \note Calling this member function implicitly deletes all existing
* transform layers.
*/
void SetMedianWaveletThreshold( float threshold )
{
DestroyLayers();
m_medianWaveletThreshold = Max( 0.F, threshold );
}
/*!
* Returns the current median-wavelet threshold in sigma units. See the
* documentation for SetMedianWaveletThreshold() for more information.
*/
float MedianWaveletThreshold() const
{
return m_medianWaveletThreshold;
}
/*!
* Causes this object to perform a pure multiscale median transform.
*
* \note Calling this member function implicitly deletes all existing
* transform layers.
*/
void SetMultiscaleMedianTransform()
{
DestroyLayers();
m_medianWaveletTransform = false;
}
private:
/*
* Use multiway structural elements for improved isotropy.
*/
bool m_multiwayStructures = true;
/*
* Compute a wavelet-median transform.
*/
bool m_medianWaveletTransform = false;
/*
* Median-wavelet threshold in sigma units.
*/
float m_medianWaveletThreshold = 5.0F;
/*
* Transform (decomposition)
*/
void Transform( const pcl::Image& ) override;
void Transform( const pcl::DImage& ) override;
void Transform( const pcl::ComplexImage& ) override;
void Transform( const pcl::DComplexImage& ) override;
void Transform( const pcl::UInt8Image& ) override;
void Transform( const pcl::UInt16Image& ) override;
void Transform( const pcl::UInt32Image& ) override;
friend class MMTDecomposition;
};
// ----------------------------------------------------------------------------
} // pcl
#endif // __PCL_MultiscaleMedianTransform_h
// ----------------------------------------------------------------------------
// EOF pcl/MultiscaleMedianTransform.h - Released 2022-03-12T18:59:29Z