The IPA (Image Processing Algorithm) namespace. More...

Classes
class	AgcMeanLuminance
	A mean-based auto-exposure algorithm. More...

class	Algorithm
	The base class for all IPA algorithms. More...

class	AlgorithmFactory
	Registration of Algorithm classes and creation of instances. More...

class	AlgorithmFactoryBase

class	CameraSensorHelper
	Base class for computing sensor tuning parameters using sensor-specific constants. More...

class	CameraSensorHelperFactory
	Registration of CameraSensorHelperFactory classes and creation of instances. More...

class	CameraSensorHelperFactoryBase
	Base class for camera sensor helper factories. More...

class	ExposureModeHelper
	Class for splitting exposure into shutter time and total gain. More...

class	FCQueue
	A support class for managing FrameContext instances in IPA modules. More...

struct	FrameContext
	Context for a frame. More...

class	Histogram
	The base class for creating histograms. More...

class	Interpolator
	Class for storing, retrieving, and interpolating objects. More...

class	LscPolynomial
	Class for handling even polynomials used in lens shading correction. More...

class	Matrix
	Matrix class. More...

class	Module
	The base class for all IPA modules. More...

class	Pwl
	Describe a univariate piecewise linear function in two-dimensional real space. More...

class	Vector
	Vector class. More...

Functions
double	rec601LuminanceFromRGB (double r, double g, double b)
	Estimate luminance from RGB values following ITU-R BT.601. More...

uint32_t	estimateCCT (double red, double green, double blue)
	Estimate correlated colour temperature from RGB color space input. More...

template<typename T , typename U , unsigned int Rows, unsigned int Cols>
Matrix< U, Rows, Cols >	operator* (T d, const Matrix< U, Rows, Cols > &m)
	Multiply the matrix by a scalar. More...

template<typename T , typename U , unsigned int Rows, unsigned int Cols>
Matrix< U, Rows, Cols >	operator* (const Matrix< U, Rows, Cols > &m, T d)
	Multiply the matrix by a scalar. More...

template<typename T , unsigned int R1, unsigned int C1, unsigned int R2, unsigned in C2>
Matrix< T, R1, C2 >	operator* (const Matrix< T, R1, C1 > &m1, const Matrix< T, R2, C2 > &m2)
	Matrix multiplication. More...

template<typename T , unsigned int Rows, unsigned int Cols>
Matrix< T, Rows, Cols >	operator+ (const Matrix< T, Rows, Cols > &m1, const Matrix< T, Rows, Cols > &m2)
	Matrix addition. More...

template<typename T , unsigned int Rows, unsigned int Cols>
Vector< T, Rows >	operator* (const Matrix< T, Rows, Cols > &m, const Vector< T, Cols > &v)
	Multiply a matrix by a vector. More...

template<typename T , unsigned int Rows>
bool	operator== (const Vector< T, Rows > &lhs, const Vector< T, Rows > &rhs)
	Compare vectors for equality. More...

template<typename T , unsigned int Rows>
bool	operator!= (const Vector< T, Rows > &lhs, const Vector< T, Rows > &rhs)
	Compare vectors for inequality. More...

Detailed Description

The IPA (Image Processing Algorithm) namespace.

The IPA namespace groups all types specific to IPA modules. It serves as the top-level namespace for the IPA library libipa, and also contains module-specific namespaces for IPA modules.

Function Documentation

◆ estimateCCT()

uint32_t libcamera::ipa::estimateCCT	(	double	red,
		double	green,
		double	blue
	)

Estimate correlated colour temperature from RGB color space input.

Parameters

[in]	red	The input red value
[in]	green	The input green value
[in]	blue	The input blue value

This function estimates the correlated color temperature RGB color space input. In physics and color science, the Planckian locus or black body locus is the path or locus that the color of an incandescent black body would take in a particular chromaticity space as the blackbody temperature changes.

If a narrow range of color temperatures is considered (those encapsulating daylight being the most practical case) one can approximate the Planckian locus in order to calculate the CCT in terms of chromaticity coordinates.

More detailed information can be found in: https://en.wikipedia.org/wiki/Color_temperature#Approximation

Returns: The estimated color temperature

◆ operator!=()

template<typename T , unsigned int Rows>

bool libcamera::ipa::operator!=	(	const Vector< T, Rows > &	lhs,
		const Vector< T, Rows > &	rhs
	)

Compare vectors for inequality.

Returns: True if the two vectors are not equal, false otherwise

◆ operator*() [1/4]

template<typename T , typename U , unsigned int Rows, unsigned int Cols>

Matrix::Matrix< U, Rows, Cols > libcamera::ipa::operator*	(	T	d,
		const Matrix< U, Rows, Cols > &	m
	)

Multiply the matrix by a scalar.

Template Parameters

T	Type of the numerical scalar value
U	Type of numerical values in the matrix
Rows	Number of rows in the matrix
Cols	Number of columns in the matrix

Parameters

d	The scalar multiplier
m	The matrix

Returns: Product of scalar d and matrix m

◆ operator*() [2/4]

template<typename T , typename U , unsigned int Rows, unsigned int Cols>

Matrix::Matrix< U, Rows, Cols > libcamera::ipa::operator*	(	const Matrix< U, Rows, Cols > &	m,
		T	d
	)

Multiply the matrix by a scalar.

Template Parameters

T	Type of the numerical scalar value
U	Type of numerical values in the matrix
Rows	Number of rows in the matrix
Cols	Number of columns in the matrix

Parameters

d	The scalar multiplier
m	The matrix

Returns: Product of scalar d and matrix m

◆ operator*() [3/4]

template<typename T , unsigned int R1, unsigned int C1, unsigned int R2, unsigned in C2>

Matrix< T, R1, C2 > libcamera::ipa::operator*	(	const Matrix< T, R1, C1 > &	m1,
		const Matrix< T, R2, C2 > &	m2
	)

Matrix multiplication.

Template Parameters

T	Type of numerical values in the matrices
R1	Number of rows in the first matrix
C1	Number of columns in the first matrix
R2	Number of rows in the second matrix
C2	Number of columns in the second matrix

Parameters

m1	Multiplicand matrix
m2	Multiplier matrix

Returns: Matrix product of matrices m1 and m2

◆ operator*() [4/4]

template<typename T , unsigned int Rows, unsigned int Cols>

Vector< T, Rows > libcamera::ipa::operator*	(	const Matrix< T, Rows, Cols > &	m,
		const Vector< T, Cols > &	v
	)

Multiply a matrix by a vector.

Template Parameters

T	Numerical type of the contents of the matrix and vector
Rows	The number of rows in the matrix
Cols	The number of columns in the matrix (= rows in the vector)

Parameters

m	The matrix
v	The vector

Returns: Product of matrix m and vector v

◆ operator+()

template<typename T , unsigned int Rows, unsigned int Cols>

Matrix< T, Rows, Cols > libcamera::ipa::operator+	(	const Matrix< T, Rows, Cols > &	m1,
		const Matrix< T, Rows, Cols > &	m2
	)

Matrix addition.

Template Parameters

T	Type of numerical values in the matrices
Rows	Number of rows in the matrices
Cols	Number of columns in the matrices

Parameters

m1	Summand matrix
m2	Summand matrix

Returns: Matrix sum of matrices m1 and m2

◆ operator==()

template<typename T , unsigned int Rows>

bool libcamera::ipa::operator==	(	const Vector< T, Rows > &	lhs,
		const Vector< T, Rows > &	rhs
	)

Compare vectors for equality.

Returns: True if the two vectors are equal, false otherwise

◆ rec601LuminanceFromRGB()

double libcamera::ipa::rec601LuminanceFromRGB	(	double	r,
		double	g,
		double	b
	)

Estimate luminance from RGB values following ITU-R BT.601.

Parameters

[in]	r	The red value
[in]	g	The green value
[in]	b	The blue value

This function estimates a luminance value from a triplet of Red, Green and Blue values, following the formula defined by ITU-R Recommendation BT.601-7 which can be found at https://www.itu.int/rec/R-REC-BT.601

Returns: The estimated luminance value

Classes

Functions

Detailed Description

Function Documentation

◆ estimateCCT()

◆ operator!=()

◆ operator*() [1/4]

◆ operator*() [2/4]

◆ operator*() [3/4]

◆ operator*() [4/4]

◆ operator+()

◆ operator==()

◆ rec601LuminanceFromRGB()