#include <otbWaveletTransform.h>

Inheritance diagram for otb::WaveletTransform< TInputImage, TOutputImage, TFilter, TDirectionOfTransformation >:

Collaboration diagram for otb::WaveletTransform< TInputImage, TOutputImage, TFilter, TDirectionOfTransformation >:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer

typedef itk::SmartPointer< Self >	Pointer

typedef WaveletTransform	Self

typedef itk::ImageSource< TOutputImage >	Superclass

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetNameOfClass () const

Static Public Member Functions
static Pointer	New ()

	WaveletTransform ()

virtual	~WaveletTransform ()

	WaveletTransform (const Self &)

void	operator= (const Self &)

Detailed Description

template<class TInputImage, class TOutputImage, class TFilter, Wavelet::WaveletDirection TDirectionOfTransformation>
class otb::WaveletTransform< TInputImage, TOutputImage, TFilter, TDirectionOfTransformation >

Wavelet transformation framework.

Inverse Wavelet transformation framework.

Forward Wavelet transformation framework.

This class defines the Wavelet transformation of an image by using a (templated) elementary wavelet transform.

Here the number of decomposition is given. The output is given in the GetOutput() list of images ranked from the low-pass part to the highest frequency part.

Output image organization depends on the number of Dim on the image In the OutputList, the first image is always the low passed one. Next, follow the high Passed images of the lowest decomposition (ask GetFilter(0)->GetNumberOfOutputs() to know the length) and so on until the high passed images of the highest decomposition.

See also: WaveletFilterBank; WaveletPacketTransform

This class defines the Wavelet transformation of an image by using a (templated) elementary wavelet transform.

Here the number of decomposition is given. The output is given in the GetOutput() list of images ranked from the low-pass part to the highest frequency part.

Output image organization depends on the number of Dim on the image In the OutputList, the first image is always the low passed one. Next, follow the high Passed images of the lowest decomposition (ask GetFilter(0)->GetNumberOfOutputs() to know the length) and so on until the high passed images of the highest decomposition.

Here is the specialization of the Wavelet::FORWARD transformation.

See also: WaveletFilterBank; WaveletPacketTransform

This class defines the Wavelet transformation of an image by using a (templated) elementary wavelet transform.

Here the number of decomposition is given. The output is given in the GetOutput() list of images ranked from the low-pass part to the highest frequency part.

Output image organization depends on the number of Dim on the image In the OutputList, the first image is always the low passed one. Next, follow the high Passed images of the lowest decomposition (ask GetFilter(0)->GetNumberOfOutputs() to know the length) and so on until the high passed images of the highest decomposition.

Here is the specialization of the Wavelet::INVERSE transformation.

The filter should be implemented with TInputImage for input and output image template. Transtyping to TOutputImage is performed by standard C++-style at pixel level.

See also: WaveletFilterBank; WaveletPacketTransform

Definition at line 58 of file otbWaveletTransform.h.