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	AwbAlgorithm
	A base class for auto white balance algorithms. More...

class	AwbBayes
	Implementation of a bayesian auto white balance algorithm. More...

class	AwbGrey
	A Grey world auto white balance algorithm. More...

class	AwbResult
	The result of an AWB calculation. More...

class	AwbStats
	An abstraction class wrapping hardware-specific AWB statistics. More...

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 exposure time and total gain. More...

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

struct	FixedPointQTraits
	Traits type implementing fixed-point quantization conversions. 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	Lux
	Class that implements lux estimation. 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...

struct	Quantized
	Wrapper that stores a value in both quantized and floating-point form. More...

class	V4L2Params
	Helper class that represent an ISP configuration buffer. More...

class	V4L2ParamsBlock
	Helper class that represents an ISP configuration block. More...

Typedefs
template<unsigned int I, unsigned int F>
using	Q = Quantized< FixedPointQTraits< I, F, decltype(details::qtype< I+F >())> >
	Define a signed fixed-point quantized type with automatic storage width.

template<unsigned int I, unsigned int F>
using	UQ = Quantized< FixedPointQTraits< I, F, std::make_unsigned_t< decltype(details::qtype< I+F >())> > >
	Define an unsigned fixed-point quantized type with automatic storage width.

Functions
double	rec601LuminanceFromRGB (const RGB< double > &rgb)
	Estimate luminance from RGB values following ITU-R BT.601.

uint32_t	estimateCCT (const RGB< double > &rgb)
	Estimate correlated colour temperature from RGB color space input.

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.

Typedef Documentation

◆ Q

template<unsigned int I, unsigned int F>

libcamera::ipa::Q

Define a signed fixed-point quantized type with automatic storage width.

Template Parameters

I	The number of integer bits
F	The number of fractional bits

This alias defines a signed fixed-point quantized type using the FixedPointQTraits trait and a suitable signed integer storage type automatically selected based on the total number of bits (I + F).

◆ UQ

template<unsigned int I, unsigned int F>

libcamera::ipa::UQ

Define an unsigned fixed-point quantized type with automatic storage width.

Template Parameters

I	The number of integer bits
F	The number of fractional bits

This alias defines an unsigned fixed-point quantized type using the FixedPointQTraits trait and a suitable unsigned integer storage type automatically selected based on the total number of bits (I + F).

Function Documentation

◆ estimateCCT()

uint32_t libcamera::ipa::estimateCCT ( const RGB< double > & rgb )

Estimate correlated colour temperature from RGB color space input.

Parameters

[in] rgb The RGB 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 black body 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

◆ rec601LuminanceFromRGB()

double libcamera::ipa::rec601LuminanceFromRGB ( const RGB< double > & rgb )

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

Parameters

[in] rgb The RGB 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

Typedefs