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
	The libipa AWB algorithm. More...

class	AwbAlgorithmBase
	Base class for AwbAlgorithm for non-templated functions implementation. More...

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

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

class	AwbImplementation
	Pure virtual base class for AWB algorithms implementations. 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	CcmAlgorithm
	The libipa CCM algorithm. More...

class	CcmAlgorithmBase
	Base class for CcmAlgorithm for non-templated functions implementation. 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	LscAlgorithm
	libIPA LSC algorithm implementation More...

class	LscAlgorithmBase
	Base class for LscAlgorithm. More...

struct	LscDescriptor
	Describe the ISP LSC engine. More...

class	LscImplementation
	Pure virtual base class for LSC algorithm implementations. More...

class	LscPolynomial
	Radial Polynomial LSC algorithm implementation. More...

class	LscTable
	Table based LSC algorithm implementation. 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	V4L2ParamsBase
	Base class for V4L2Params. More...

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

class	V4L2Stats
	Helper class that represents an ISP statistics buffer. More...

class	V4L2StatsBase
	Base class for V4L2Stats. 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