eVision::EMertensMergerParameters Class Reference

Container holding the parameters for a Mertens merger algorithm. The Mertens merger algorithm works by detecting over+under exposed zones and assigning a specific set of weights that'll diminish their importance when adding the input images together. The importance of each weight can be modified by modifying the value of the parameters. More...

#include <eVision/EasyImage/EMertensMergerParameters.h>

Inheritance diagram for eVision::EMertensMergerParameters:

Collaboration diagram for eVision::EMertensMergerParameters:

Public Member Functions
	EMertensMergerParameters (const eVision::EMertensMergerParameters &other)
	Copy operator.
	EMertensMergerParameters ()
	Copy operator.
virtual	~EMertensMergerParameters () throw ()
bool	operator== (const eVision::EMertensMergerParameters &rhs) const
	Checks if this EMertensMergerParameters instance is strictly equal to another.
eVision::EMertensMergerParameters &	operator= (const eVision::EMertensMergerParameters &other)
	Copy operator.
float	GetContrastWeight () const
	Gets the contrast weight parameter.
void	SetContrastWeight (float contrastWeight)
	Sets the contrast weight parameter. The contrast weight parameter modifies the importance of the contrast measure that is computed by the Mertens algorithm. The contrast value is obtained by with Laplacian filter to the grayscale version of each image, and take the absolute value of the filter response. This yields a simple indicator that is called contrast. Edges and textures tends to have a high contrast value.
float	GetSaturationWeight () const
	Gets the saturation weight parameter.
void	SetSaturationWeight (float saturationWeight)
	Sets the saturation weight parameter. The saturation weight parameter modifies the importance of the saturation measure that is computed by the Mertens algorithm. An image that undergoes a longer exposure becomes desaturated and is eventually clipped. Saturated colors are desirable in certain contexts as they make the image look vivid.
float	GetExposureWeight () const
	Gets the exposure weight parameter.
void	SetExposureWeight (float exposureWeight)
	Sets the exposure weight parameter. The exposure weight parameter modifies the importance of the saturation measure that is computed by the Mertens algorithm. The raw intensities within a channel reveals how well a pixel is exposed. The exposure value (or well-exposedness in the original paper) aims to keep intensities that are not near zero (under-exposed) or one (over-exposed). Thus, the exposure value computed by the Mertens algorithm is higher when pixel values are near 0.5.
	EMertensMergerParameters (CppWrapperInternal::InternalConstructor)
Public Member Functions inherited from eVision::EMergerParameters
	EMergerParameters (const eVision::EMergerParameters &other)
	Copy operator.
	EMergerParameters ()
	Copy operator.
virtual	~EMergerParameters () throw ()
eVision::EMergerParameters &	operator= (const eVision::EMergerParameters &other)
	Copy operator.
eVision::EMergerType	GetMergerType () const
	Return the type of the merger defined by this set of parameters.
	EMergerParameters (CppWrapperInternal::InternalConstructor)

Additional Inherited Members
Public Attributes inherited from eVision::EMergerParameters
CppWrapperInternal::WrappedClass	wrappedClass_

Detailed Description

Container holding the parameters for a Mertens merger algorithm. The Mertens merger algorithm works by detecting over+under exposed zones and assigning a specific set of weights that'll diminish their importance when adding the input images together. The importance of each weight can be modified by modifying the value of the parameters.

License(s): EasyImage

Constructor & Destructor Documentation

EMertensMergerParameters() [1/3]

eVision::EMertensMergerParameters::EMertensMergerParameters

(

const eVision::EMertensMergerParameters &

other

)

Copy operator.

Parameters

other

Other parameters container to copy from.

EMertensMergerParameters() [2/3]

eVision::EMertensMergerParameters::EMertensMergerParameters

(

)

Copy operator.

~EMertensMergerParameters()

eVision::EMertensMergerParameters::~EMertensMergerParameters ( ) throw (  )

virtual

EMertensMergerParameters() [3/3]

eVision::EMertensMergerParameters::EMertensMergerParameters

(

CppWrapperInternal::InternalConstructor

)

Member Function Documentation

GetContrastWeight()

float eVision::EMertensMergerParameters::GetContrastWeight

(

)

const

Gets the contrast weight parameter.

GetExposureWeight()

float eVision::EMertensMergerParameters::GetExposureWeight

(

)

const

Gets the exposure weight parameter.

GetSaturationWeight()

float eVision::EMertensMergerParameters::GetSaturationWeight

(

)

const

Gets the saturation weight parameter.

operator=()

eVision::EMertensMergerParameters & eVision::EMertensMergerParameters::operator=

(

const eVision::EMertensMergerParameters &

other

)

Copy operator.

Parameters

other

Other parameters container to copy from.

operator==()

bool eVision::EMertensMergerParameters::operator==

(

const eVision::EMertensMergerParameters &

rhs

)

const

Checks if this EMertensMergerParameters instance is strictly equal to another.

Parameters

rhs	Reference to the other EMertensMergerParameters instance

SetContrastWeight()

void eVision::EMertensMergerParameters::SetContrastWeight

(

float

contrastWeight

)

Sets the contrast weight parameter. The contrast weight parameter modifies the importance of the contrast measure that is computed by the Mertens algorithm. The contrast value is obtained by with Laplacian filter to the grayscale version of each image, and take the absolute value of the filter response. This yields a simple indicator that is called contrast. Edges and textures tends to have a high contrast value.

Taken from Mertens, T., Kautz, J., & Van Reeth, F. (2007, October). Exposure fusion. In 15th Pacific Conference on Computer Graphics and Applications (PG'07) (pp. 382-390). IEEE.

Parameters

contrastWeight

New contrast weight value.

SetExposureWeight()

void eVision::EMertensMergerParameters::SetExposureWeight

(

float

exposureWeight

)

Sets the exposure weight parameter. The exposure weight parameter modifies the importance of the saturation measure that is computed by the Mertens algorithm. The raw intensities within a channel reveals how well a pixel is exposed. The exposure value (or well-exposedness in the original paper) aims to keep intensities that are not near zero (under-exposed) or one (over-exposed). Thus, the exposure value computed by the Mertens algorithm is higher when pixel values are near 0.5.

Taken from Mertens, T., Kautz, J., & Van Reeth, F. (2007, October). Exposure fusion. In 15th Pacific Conference on Computer Graphics and Applications (PG'07) (pp. 382-390). IEEE.

Parameters

exposureWeight

New exposure weight value.

SetSaturationWeight()

void eVision::EMertensMergerParameters::SetSaturationWeight

(

float

saturationWeight

)

Sets the saturation weight parameter. The saturation weight parameter modifies the importance of the saturation measure that is computed by the Mertens algorithm. An image that undergoes a longer exposure becomes desaturated and is eventually clipped. Saturated colors are desirable in certain contexts as they make the image look vivid.

Taken from Mertens, T., Kautz, J., & Van Reeth, F. (2007, October). Exposure fusion. In 15th Pacific Conference on Computer Graphics and Applications (PG'07) (pp. 382-390). IEEE.

Parameters

saturationWeight

New saturation weight value.