#include <DFT.h>

Collaboration diagram for SourceXtractor::DFTConvolution< T, TPadding >:

[legend]

Classes
struct	ConvolutionContext

Public Types
typedef T	real_t
typedef FFT< T >::complex_t	complex_t

Public Member Functions
	DFTConvolution (std::shared_ptr< const Image< T > > img)
virtual	~DFTConvolution ()=default
std::size_t	getWidth () const
std::size_t	getHeight () const
std::unique_ptr< ConvolutionContext >	prepare (const std::shared_ptr< const Image< T > > &model_ptr) const
template<typename ... Args>
void	convolve (std::shared_ptr< WriteableImage< T > > image_ptr, std::unique_ptr< ConvolutionContext > &context, Args... padding_args) const
template<typename ... Args>
void	convolve (std::shared_ptr< WriteableImage< T > > image_ptr, Args... padding_args) const
std::shared_ptr< const Image< T > >	getKernel () const

Protected Member Functions
void	padKernel (ConvolutionContext &context) const
void	dumpImage (const std::shared_ptr< const Image< T > > &img, std::vector< T > &work_area) const

Private Attributes
std::shared_ptr< const Image< T > >	m_kernel

Detailed Description

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>
class SourceXtractor::DFTConvolution< T, TPadding >

Convolution strategy based on the Discrete Fourier Transform

Template Parameters

T	The pixel type
TPadding	The padding strategy

Definition at line 47 of file DFT.h.

Member Typedef Documentation

◆ complex_t

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

typedef FFT<T>::complex_t SourceXtractor::DFTConvolution< T, TPadding >::complex_t

Definition at line 50 of file DFT.h.

◆ real_t

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

typedef T SourceXtractor::DFTConvolution< T, TPadding >::real_t

Definition at line 49 of file DFT.h.

Constructor & Destructor Documentation

◆ DFTConvolution()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

SourceXtractor::DFTConvolution< T, TPadding >::DFTConvolution ( std::shared_ptr< const Image< T > > img )

inlineexplicit

Constructor

Parameters

img	Convolution kernel

Definition at line 73 of file DFT.h.

Referenced by SourceXtractor::DFTConvolution< T, TPadding >::ConvolutionContext::DFTConvolution< T, TPadding >.

◆ ~DFTConvolution()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

virtual SourceXtractor::DFTConvolution< T, TPadding >::~DFTConvolution ( )

virtualdefault

Destructor

Member Function Documentation

◆ convolve() [1/2]

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

template<typename ... Args>

void SourceXtractor::DFTConvolution< T, TPadding >::convolve	(	std::shared_ptr< WriteableImage< T > >	image_ptr,
		Args...	padding_args ) const

inline

Convolve the image with the stored kernel

Template Parameters

Args	Types of the parameters to be forwarded to the padding strategy

Parameters

image_ptr	The image to convolve
padding_args	Forwarded to the padding strategy

Note: The context will be computed on the fly, and discarded. If multiple, similar, convolutions are to be done, use a combination of prepare/convolve

Definition at line 209 of file DFT.h.

◆ convolve() [2/2]

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

template<typename ... Args>

void SourceXtractor::DFTConvolution< T, TPadding >::convolve	(	std::shared_ptr< WriteableImage< T > >	image_ptr,
		std::unique_ptr< ConvolutionContext > &	context,
		Args...	padding_args ) const

inline

Convolve the image with the stored kernel, using the given context storing the pre-computed kernel transform, and pre-allocated buffers

Template Parameters

Args	Types of the parameters to be forwarded to the padding strategy

Parameters

image_ptr	The image to convolve
context	The prepared context
padding_args	Forwarded to the padding strategy

Definition at line 152 of file DFT.h.

Referenced by SourceXtractor::DFTConvolution< SeFloat, PaddedImage< SeFloat, Reflect101Coordinates > >::convolve().

◆ dumpImage()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

void SourceXtractor::DFTConvolution< T, TPadding >::dumpImage	(	const std::shared_ptr< const Image< T > > &	img,
		std::vector< T > &	work_area ) const

inlineprotected

Definition at line 233 of file DFT.h.

Referenced by SourceXtractor::DFTConvolution< SeFloat, PaddedImage< SeFloat, Reflect101Coordinates > >::convolve(), and SourceXtractor::DFTConvolution< SeFloat, PaddedImage< SeFloat, Reflect101Coordinates > >::padKernel().

◆ getHeight()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

std::size_t SourceXtractor::DFTConvolution< T, TPadding >::getHeight ( ) const

inline

Returns: The height of the kernel

Definition at line 94 of file DFT.h.

◆ getKernel()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

std::shared_ptr< const Image< T > > SourceXtractor::DFTConvolution< T, TPadding >::getKernel ( ) const

inline

Returns: The convolution kernel

Definition at line 218 of file DFT.h.

◆ getWidth()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

std::size_t SourceXtractor::DFTConvolution< T, TPadding >::getWidth ( ) const

inline

Returns: The width of the kernel

Definition at line 86 of file DFT.h.

◆ padKernel()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

void SourceXtractor::DFTConvolution< T, TPadding >::padKernel ( ConvolutionContext & context ) const

inlineprotected

Definition at line 223 of file DFT.h.

Referenced by SourceXtractor::DFTConvolution< SeFloat, PaddedImage< SeFloat, Reflect101Coordinates > >::prepare().

◆ prepare()

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

std::unique_ptr< ConvolutionContext > SourceXtractor::DFTConvolution< T, TPadding >::prepare ( const std::shared_ptr< const Image< T > > & model_ptr ) const

inline

Pre-computes the transform of the kernel, adapted to the image passed by model_ptr

Parameters

model_ptr Reference image. Only its size is used to compute the necessary padding, and kernel size before transformation

Returns: A context than can be used by convolve to avoid re-computing the kernel multiple times

Definition at line 106 of file DFT.h.

Referenced by SourceXtractor::DFTConvolution< SeFloat, PaddedImage< SeFloat, Reflect101Coordinates > >::convolve().

Member Data Documentation

◆ m_kernel

template<typename T = SeFloat, class TPadding = PaddedImage<T, Reflect101Coordinates>>

std::shared_ptr<const Image<T> > SourceXtractor::DFTConvolution< T, TPadding >::m_kernel

private

Definition at line 239 of file DFT.h.

The documentation for this class was generated from the following file:

SEFramework/SEFramework/Convolution/DFT.h

Classes

Public Types

Public Member Functions

Protected Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ complex_t

◆ real_t

Constructor & Destructor Documentation

◆ DFTConvolution()

◆ ~DFTConvolution()

Member Function Documentation

◆ convolve() [1/2]

◆ convolve() [2/2]

◆ dumpImage()

◆ getHeight()

◆ getKernel()

◆ getWidth()

◆ padKernel()

◆ prepare()

Member Data Documentation

◆ m_kernel