#include <peak_icv/pipeline/features/peak_icv_color_correction_feature.hpp>

Inheritance diagram for ColorCorrectionFeature:

Public Member Functions
	ColorCorrectionFeature (detail::ColorMatrixTransformationModule &module)
	Creates a ColorCorrectionFeature for an existing color matrix transformation module.

void	SetEnabled (bool enabled) override
	Enables or disables the feature.

bool	IsEnabled () const override
	Gets whether this feature is currently enabled.

void	ResetToDefault () override
	Resets the ColorCorrectionMatrix to the default.

void	SetMatrix (const ColorCorrectionMatrix &matrix)
	Sets the ColorCorrectionMatrix.

ColorCorrectionMatrix	GetMatrix () const
	Gets the current ColorCorrectionMatrix.

Detailed Description

Color correction applies a 3x3 ColorCorrectionMatrix to the image.

Color correction is typically used to convert colors from a camera sensor’s native RGB space to a standard color space, or to perform color balancing and correction.

When performing color correction, a 3x3 ColorCorrectionMatrix is applied to the color values of the image.

The ColorCorrectionMatrix is represented as a 3×3 float array:


m_00	m_01	m_02
m_10	m_11	m_12
m_20	m_21	m_22

Each element m_ij defines how much of the input channel j contributes to the output channel i. For example, m_01 is the contribution of the green input to the red output.

The matrix is applied as follows:

red_value_out   = m_00 * red_value_in + m_01 * green_value_in + m_02 * blue_value_in;
green_value_out = m_10 * red_value_in + m_11 * green_value_in + m_12 * blue_value_in;
blue_value_out  = m_20 * red_value_in + m_21 * green_value_in + m_22 * blue_value_in;

where red_value_in, green_value_in, and blue_value_in are the input red, green, and blue channel values, respectively, and red_value_out, green_value_out, and blue_value_out are the corresponding corrected output values. All RGB values are normalized to the range [0.0, 1.0].