ebl::laplacian_module< T, Tstate > Class Template Reference

#include <ebl_normalization.h>

Inheritance diagram for ebl::laplacian_module< T, Tstate >:

List of all members.

Public Member Functions
	laplacian_module (int nf, bool mirror=false, bool global_norm=false, const char *name="laplacian_module")
virtual	~laplacian_module ()
	destructor
virtual void	fprop (Tstate &in, Tstate &out)
	forward propagation from in to out
virtual laplacian_module< T, Tstate > *	copy ()
	Returns a deep copy of this module.
virtual std::string	describe ()
	Returns a string describing this module and its parameters.

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Detailed Description

template<typename T, class Tstate = bbstate_idx<T>>
class ebl::laplacian_module< T, Tstate >

Laplacian pyramid normalization: input is filtered with a 5x5 kernel and the result is subtracted to the input, resulting in a high-pass filtered output.

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Constructor & Destructor Documentation

template<typename T , class Tstate >

ebl::laplacian_module< T, Tstate >::laplacian_module	(	int	nf,
		bool	mirror = false,
		bool	global_norm = false,
		const char *	name = "laplacian_module< T, Tstate >"
	)

Parameters:

nf	The number of feature maps input to this module.
mirror	Use mirroring of the input to pad border if true, or use zero-padding otherwise (default).
global_norm	If true, apply global normalization first.

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

• /home/rex/ebltrunk/core/libeblearn/include/ebl_normalization.h
• /home/rex/ebltrunk/core/libeblearn/include/ebl_normalization.hpp