ipa: libipa: colour: Use Vector and Matrix for linear algebra

Replace the manual vector and matrix calculations with usage of the
Vector and Matrix classes. This simplifies the code and improves
readability.

Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Milan Zamazal <mzamazal@redhat.com>
This commit is contained in:
Laurent Pinchart 2024-11-18 21:07:01 +02:00
parent 29892f1c56
commit 16c15c428d

View file

@ -31,7 +31,11 @@ namespace ipa {
*/
double rec601LuminanceFromRGB(const RGB<double> &rgb)
{
return (rgb.r() * .299) + (rgb.g() * .587) + (rgb.b() * .114);
static const Vector<double, 3> rgb2y{{
0.299, 0.587, 0.114
}};
return rgb.dot(rgb2y);
}
/**
@ -54,17 +58,21 @@ double rec601LuminanceFromRGB(const RGB<double> &rgb)
*/
uint32_t estimateCCT(const RGB<double> &rgb)
{
/* Convert the RGB values to CIE tristimulus values (XYZ) */
double X = (-0.14282) * rgb.r() + (1.54924) * rgb.g() + (-0.95641) * rgb.b();
double Y = (-0.32466) * rgb.r() + (1.57837) * rgb.g() + (-0.73191) * rgb.b();
double Z = (-0.68202) * rgb.r() + (0.77073) * rgb.g() + (0.56332) * rgb.b();
/*
* Convert the RGB values to CIE tristimulus values (XYZ) and divide by
* the sum of X, Y and Z to calculate the CIE xy chromaticity.
*/
static const Matrix<double, 3, 3> rgb2xyz({
-0.14282, 1.54924, -0.95641,
-0.32466, 1.57837, -0.73191,
-0.68202, 0.77073, 0.56332
});
/* Calculate the normalized chromaticity values */
double x = X / (X + Y + Z);
double y = Y / (X + Y + Z);
Vector<double, 3> xyz = rgb2xyz * rgb;
xyz /= xyz.sum();
/* Calculate CCT */
double n = (x - 0.3320) / (0.1858 - y);
double n = (xyz.x() - 0.3320) / (0.1858 - xyz.y());
return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33;
}