pic::CameraResponseFunction Class Reference

The CameraResponseFunction class. More...

#include <camera_response_function.hpp>

Public Member Functions
	CameraResponseFunction ()
	CameraResponseFunction. More...
	~CameraResponseFunction ()
float	remove (float x, int channel)
	remove linearizes a camera value using the inverse CRF. More...
float	apply (float x, int channel)
	apply More...
void	setCRFtoGamma2_2 ()
	setCRFtoGamma2_2 More...
void	setCRFtoLinear ()
	setCRFtoLinear More...
void	fromRAWJPEG (Image *img_raw, Image *img_jpg, int filteringSize=11)
	FromRAWJPEG computes the CRF by exploiting the couple RAW/JPEG from cameras. More...
void	DebevecMalik (ImageVec stack, CRF_WEIGHT type=CW_DEB97, int nSamples=256, float lambda=20.0f)
	DebevecMalik computes the CRF of a camera using multiple exposures value following Debevec and Malik 1997's method. More...
bool	MitsunagaNayar (ImageVec &stack, int polynomial_degree=-3, int nSamples=256, const bool full=false, const float alpha=0.04f, const bool computeRatios=false, const float eps=0.0001f, const std::size_t max_iterations=100)
	MitsunagaNayar computes the inverse CRF of a camera as a polynomial function. More...
void	Robertson (ImageVec &stack, const size_t maxIterations=50)
	Robertson computes the CRF of a camera using all multiple exposures value Robertson et al 1999's method (Dynamic range improvement through multiple exposures). More...

Public Attributes
std::vector< float * >	icrf
std::vector< float * >	crf
std::vector< Polynomial >	poly

Protected Member Functions
float *	gsolve (int *samples, std::vector< float > &log_exposure, float lambda, int nSamples)
	gsolve computes the inverse CRF of a camera. More...
void	release ()
	release frees memory. More...
void	createTabledICRF ()
	createTabledICRF More...

Protected Attributes
SubSampleStack	stackOut
IMG_LIN	type_linearization
float	w [256]

Detailed Description

The CameraResponseFunction class.

Constructor & Destructor Documentation

CameraResponseFunction()

pic::CameraResponseFunction::CameraResponseFunction ( )

inline

CameraResponseFunction.

~CameraResponseFunction()

pic::CameraResponseFunction::~CameraResponseFunction ( )

inline

Member Function Documentation

apply()

float pic::CameraResponseFunction::apply ( float  x, int  channel  )

inline

apply

Parameters

x	a value in [0, 1]
channel

Returns

createTabledICRF()

void pic::CameraResponseFunction::createTabledICRF ( )

inlineprotected

createTabledICRF

DebevecMalik()

void pic::CameraResponseFunction::DebevecMalik ( ImageVec  stack, CRF_WEIGHT  type = CW_DEB97, int  nSamples = 256, float  lambda = 20.0f  )

inline

DebevecMalik computes the CRF of a camera using multiple exposures value following Debevec and Malik 1997's method.

Parameters

stack
exposure
type
nSamples
lambda

fromRAWJPEG()

void pic::CameraResponseFunction::fromRAWJPEG ( Image *  img_raw, Image *  img_jpg, int  filteringSize = 11  )

inline

FromRAWJPEG computes the CRF by exploiting the couple RAW/JPEG from cameras.

Parameters

img_raw	is a RAW image.
img_jpg	is a JPEG compressed image.
filteringSize

gsolve()

float* pic::CameraResponseFunction::gsolve ( int *  samples, std::vector< float > &  log_exposure, float  lambda, int  nSamples  )

inlineprotected

gsolve computes the inverse CRF of a camera.

MitsunagaNayar()

bool pic::CameraResponseFunction::MitsunagaNayar ( ImageVec &  stack, int  polynomial_degree = -3, int  nSamples = 256, const bool  full = false, const float  alpha = 0.04f, const bool  computeRatios = false, const float  eps = 0.0001f, const std::size_t  max_iterations = 100  )

inline

MitsunagaNayar computes the inverse CRF of a camera as a polynomial function.

Parameters

stack	Array of images with associated exposure. Note that this array will be sorted with increasing exposure.
polynomial_degree	Degree of the polynomial. If negative, the best degree will be selected in [1, -polynomial_degree] for each channel.
nSamples	Number of samples to extract from each image.
full	true for computing all exposure ratios (as in book "High Dynamic Range Imaging", second edition, Reinhard et al.), false as in the original paper (only among successive exposures).
alpha	Threshold for removing samples with values not in [alpha, 1-alpha].
computeRatios	false if exact exposures are passed, true to approximate exposure ratios as in the paper.
eps	Threshold on the difference among successive approximations for stopping the computation.
max_iterations	Stop the computation after this number of iterations.

Returns

true if successfully computed, false otherwise.

release()

void pic::CameraResponseFunction::release ( )

inlineprotected

release frees memory.

remove()

float pic::CameraResponseFunction::remove ( float  x, int  channel  )

inline

remove linearizes a camera value using the inverse CRF.

Parameters

x	is an intensity value in [0,1].
channel

Returns

It returns x in the linear domain.

Robertson()

void pic::CameraResponseFunction::Robertson ( ImageVec &  stack, const size_t  maxIterations = 50  )

inline

Robertson computes the CRF of a camera using all multiple exposures value Robertson et al 1999's method (Dynamic range improvement through multiple exposures).

Parameters

stack
maxIterations

setCRFtoGamma2_2()

void pic::CameraResponseFunction::setCRFtoGamma2_2 ( )

inline

setCRFtoGamma2_2

setCRFtoLinear()

void pic::CameraResponseFunction::setCRFtoLinear ( )

inline

setCRFtoLinear

Member Data Documentation

crf

std::vector<float *> pic::CameraResponseFunction::crf

icrf

std::vector<float *> pic::CameraResponseFunction::icrf

poly

std::vector< Polynomial > pic::CameraResponseFunction::poly

stackOut

SubSampleStack pic::CameraResponseFunction::stackOut

protected

type_linearization

IMG_LIN pic::CameraResponseFunction::type_linearization

protected

w

float pic::CameraResponseFunction::w[256]

protected

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

• C:/Users/Francesco/Documents/GitHub/piccante/include/algorithms/camera_response_function.hpp