2024-08-16 16:42:16 +01:00
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/*
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* Copyright (c) 2024, Sam Atkins <sam@ladybird.org>
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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2024-10-26 16:14:04 -04:00
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#include "CSSLabLike.h"
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2024-08-16 16:42:16 +01:00
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#include <AK/TypeCasts.h>
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#include <LibWeb/CSS/Serialize.h>
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2024-12-11 15:05:56 +00:00
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#include <LibWeb/CSS/StyleValues/CalculatedStyleValue.h>
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2024-08-16 16:42:16 +01:00
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#include <LibWeb/CSS/StyleValues/NumberStyleValue.h>
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#include <LibWeb/CSS/StyleValues/PercentageStyleValue.h>
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namespace Web::CSS {
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2024-10-26 16:14:04 -04:00
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bool CSSLabLike::equals(CSSStyleValue const& other) const
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{
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if (type() != other.type())
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return false;
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auto const& other_color = other.as_color();
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if (color_type() != other_color.color_type())
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return false;
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2025-01-21 09:12:05 -05:00
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auto const& other_lab_like = as<CSSLabLike>(other_color);
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2024-10-26 16:14:04 -04:00
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return m_properties == other_lab_like.m_properties;
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}
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2024-08-16 16:42:16 +01:00
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Color CSSOKLab::to_color(Optional<Layout::NodeWithStyle const&>) const
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{
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auto const l_val = clamp(resolve_with_reference_value(m_properties.l, 1.0).value_or(0), 0, 1);
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auto const a_val = resolve_with_reference_value(m_properties.a, 0.4).value_or(0);
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auto const b_val = resolve_with_reference_value(m_properties.b, 0.4).value_or(0);
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auto const alpha_val = resolve_alpha(m_properties.alpha).value_or(1);
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return Color::from_oklab(l_val, a_val, b_val, alpha_val);
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}
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// https://www.w3.org/TR/css-color-4/#serializing-oklab-oklch
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2024-12-07 00:59:49 +01:00
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String CSSOKLab::to_string(SerializationMode) const
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2024-08-16 16:42:16 +01:00
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{
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// FIXME: Do this properly, taking unresolved calculated values into account.
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return serialize_a_srgb_value(to_color({}));
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}
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LibGfx+LibWeb/CSS: Add support for the `lab()` color function
The support in LibWeb is quite easy as the previous commits introduced
helpers to support lab-like colors.
Now for the methods in Color:
- The formulas in `from_lab()` are derived from the CIEXYZ to CIELAB
formulas the "Colorimetry" paper published by the CIE.
- The conversion in `from_xyz50()` can be decomposed in multiple steps
XYZ D50 -> XYZ D65 -> Linear sRGB -> sRGB. The two first conversion
are done with a singular matrix operation. This matrix was generated
with a Python script [1].
This commit makes us pass all the `css/css-color/lab-00*.html` WPT
tests (0 to 7 at the time of writing).
[1] Python script used to generate the XYZ D50 -> Linear sRGB
conversion:
```python
import numpy as np
# http://www.brucelindbloom.com/index.html?Eqn_ChromAdapt.html
# First let's convert from D50 to D65 using the Bradford method.
m_a = np.array([
[0.8951000, 0.2664000, -0.1614000],
[-0.7502000, 1.7135000, 0.0367000],
[0.0389000, -0.0685000, 1.0296000]
])
# D50
chromaticities_source = np.array([0.96422, 1, 0.82521])
# D65
chromaticities_destination = np.array([0.9505, 1, 1.0890])
cone_response_source = m_a @ chromaticities_source
cone_response_destination = m_a @ chromaticities_destination
cone_response_ratio = cone_response_destination / cone_response_source
m = np.linalg.inv(m_a) @ np.diagflat(cone_response_ratio) @ m_a
D50_to_D65 = m
# https://en.wikipedia.org/wiki/SRGB#From_CIE_XYZ_to_sRGB
# Then, the matrix to convert to linear sRGB.
xyz_65_to_srgb = np.array([
[3.2406, - 1.5372, - 0.4986],
[-0.9689, + 1.8758, 0.0415],
[0.0557, - 0.2040, 1.0570]
])
# Finally, let's retrieve the final transformation.
xyz_50_to_srgb = xyz_65_to_srgb @ D50_to_D65
print(xyz_50_to_srgb)
```
2024-10-26 17:16:13 -04:00
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Color CSSLab::to_color(Optional<Layout::NodeWithStyle const&>) const
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{
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auto const l_val = clamp(resolve_with_reference_value(m_properties.l, 100).value_or(0), 0, 100);
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auto const a_val = resolve_with_reference_value(m_properties.a, 125).value_or(0);
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auto const b_val = resolve_with_reference_value(m_properties.b, 125).value_or(0);
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auto const alpha_val = resolve_alpha(m_properties.alpha).value_or(1);
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return Color::from_lab(l_val, a_val, b_val, alpha_val);
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}
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// https://www.w3.org/TR/css-color-4/#serializing-lab-lch
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2024-12-07 00:59:49 +01:00
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String CSSLab::to_string(SerializationMode) const
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LibGfx+LibWeb/CSS: Add support for the `lab()` color function
The support in LibWeb is quite easy as the previous commits introduced
helpers to support lab-like colors.
Now for the methods in Color:
- The formulas in `from_lab()` are derived from the CIEXYZ to CIELAB
formulas the "Colorimetry" paper published by the CIE.
- The conversion in `from_xyz50()` can be decomposed in multiple steps
XYZ D50 -> XYZ D65 -> Linear sRGB -> sRGB. The two first conversion
are done with a singular matrix operation. This matrix was generated
with a Python script [1].
This commit makes us pass all the `css/css-color/lab-00*.html` WPT
tests (0 to 7 at the time of writing).
[1] Python script used to generate the XYZ D50 -> Linear sRGB
conversion:
```python
import numpy as np
# http://www.brucelindbloom.com/index.html?Eqn_ChromAdapt.html
# First let's convert from D50 to D65 using the Bradford method.
m_a = np.array([
[0.8951000, 0.2664000, -0.1614000],
[-0.7502000, 1.7135000, 0.0367000],
[0.0389000, -0.0685000, 1.0296000]
])
# D50
chromaticities_source = np.array([0.96422, 1, 0.82521])
# D65
chromaticities_destination = np.array([0.9505, 1, 1.0890])
cone_response_source = m_a @ chromaticities_source
cone_response_destination = m_a @ chromaticities_destination
cone_response_ratio = cone_response_destination / cone_response_source
m = np.linalg.inv(m_a) @ np.diagflat(cone_response_ratio) @ m_a
D50_to_D65 = m
# https://en.wikipedia.org/wiki/SRGB#From_CIE_XYZ_to_sRGB
# Then, the matrix to convert to linear sRGB.
xyz_65_to_srgb = np.array([
[3.2406, - 1.5372, - 0.4986],
[-0.9689, + 1.8758, 0.0415],
[0.0557, - 0.2040, 1.0570]
])
# Finally, let's retrieve the final transformation.
xyz_50_to_srgb = xyz_65_to_srgb @ D50_to_D65
print(xyz_50_to_srgb)
```
2024-10-26 17:16:13 -04:00
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{
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// FIXME: Do this properly, taking unresolved calculated values into account.
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return serialize_a_srgb_value(to_color({}));
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}
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2024-08-16 16:42:16 +01:00
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}
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