blob: 8d5071707c4e4c6d1f6fe7ab3e77075b4d339515 [file] [log] [blame] [edit]
/*
* Copyright 2025 Google LLC.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "include/core/SkBitmap.h"
#include "include/core/SkCanvas.h"
#include "include/core/SkColorFilter.h"
#include "include/core/SkData.h"
#include "include/core/SkImage.h"
#include "include/core/SkScalar.h"
#include "include/private/SkHdrMetadata.h"
#include "src/codec/SkHdrAgtmPriv.h"
#include "tests/Test.h"
DEF_TEST(HdrMetadata_ParseSerialize_ContentLightLevelInformation, r) {
uint8_t data[] = {
0x03, 0xE8,
0x00, 0xFA,
};
// Data taken from:
// https://www.w3.org/TR/png-3/#example-13
// https://www.w3.org/TR/png-3/#example-14
uint8_t dataPng[] = {
0x00, 0x98, 0x96, 0x80,
0x00, 0x26, 0x25, 0xA0,
};
skhdr::ContentLightLevelInformation clliExpected = {
1000.f, 250.f,
};
auto skData = SkData::MakeWithoutCopy(data, sizeof(data));
auto skDataPng = SkData::MakeWithoutCopy(dataPng, sizeof(dataPng));
skhdr::ContentLightLevelInformation clli;
REPORTER_ASSERT(r, clli.parse(skData.get()));
REPORTER_ASSERT(r, clli == clliExpected);
REPORTER_ASSERT(r, skData->equals(clli.serialize().get()));
skhdr::ContentLightLevelInformation clliPng;
REPORTER_ASSERT(r, clliPng.parsePngChunk(skDataPng.get()));
REPORTER_ASSERT(r, clliPng == clliExpected);
REPORTER_ASSERT(r, skDataPng->equals(clli.serializePngChunk().get()));
}
DEF_TEST(HdrMetadata_ParseSerialize_MasteringDisplayColorVolume, r) {
// Data taken from:
// https://www.w3.org/TR/png-3/#example-5
// https://www.w3.org/TR/png-3/#example-6
// https://www.w3.org/TR/png-3/#example-7
// https://www.w3.org/TR/png-3/#example-8
uint8_t data[] = {
0x8A, 0x48, 0x39, 0x08, // Red
0x21, 0x34, 0x9B, 0xAA, // Green
0x19, 0x96, 0x08, 0xFC, // Blue
0x3D, 0x13, 0x40, 0x42, // White
0x02, 0x62, 0x5A, 0x00, // Maximum luminance
0x00, 0x00, 0x00, 0x05, // Minimum luminance
};
skhdr::MasteringDisplayColorVolume mdcvExpected = {
{0.708f, 0.292f, 0.17f, 0.797f, 0.131f, 0.046f, 0.3127f, 0.329f},
4000.f, 0.0005f,
};
auto skData = SkData::MakeWithoutCopy(data, sizeof(data));
skhdr::MasteringDisplayColorVolume mdcv;
REPORTER_ASSERT(r, mdcv.parse(skData.get()));
REPORTER_ASSERT(r, mdcv == mdcvExpected);
REPORTER_ASSERT(r, skData->equals(mdcv.serialize().get()));
}
DEF_TEST(HdrMetadata_Agtm_Cubic, r) {
skhdr::AgtmImpl::PiecewiseCubicFunction cubic = {
10,
{0.10720647f, 0.76246667f, 1.39535723f, 2.17572099f, 2.47834070f,
3.14288223f, 3.35428070f, 4.24864607f, 4.59087493f, 4.80373641f},
{0.37384606f, 0.93143060f, 0.f, 1.23009354f, 1.25542898f,
2.22460677f, 2.69226748f, 3.45838813f, 4.44597502f, 5.19196203f},
{0.},
};
cubic.populateSlopeFromPCHIP();
const float mExpected[10] = { 2.03242568f, 0.f, 0.f, 0.14042951f, 0.14250506f,
1.82245618f, 1.35855757f, 1.43703564f, 3.18918733f, 3.74186390f};
for (size_t i = 0; i < 10; ++i) {
REPORTER_ASSERT(r, SkScalarNearlyEqual(cubic.fM[i], mExpected[i], 0.0001f));
}
const float yExpected[11] = {
0.37384606f, 0.86280187f, 0.63630745f, 0.05871820f, 1.05625216f,
1.26009455f, 1.95243885f, 2.85680727f, 3.19521825f, 4.14318213f,
5.13419092f};
for (size_t i = 0; i < 11; ++i) {
const float x = i / 2.f;
const float y = cubic.evaluate(x);
REPORTER_ASSERT(r, SkScalarNearlyEqual(y, yExpected[i], 0.0001f));
}
}
DEF_TEST(HdrMetadata_Agtm_Mix, r) {
auto test = [&r](const std::string& name, skhdr::AgtmImpl::ComponentMixingFunction mix,
SkColor4f input, SkColor4f expected) {
skiatest::ReporterContext ctx(r, name);
SkColor4f actual = mix.evaluate(input);
REPORTER_ASSERT(r, actual.fR == expected.fR);
REPORTER_ASSERT(r, actual.fG == expected.fG);
REPORTER_ASSERT(r, actual.fB == expected.fB);
REPORTER_ASSERT(r, actual.fA == expected.fA);
REPORTER_ASSERT(r, actual.fA == input.fA);
};
test("Red only",
skhdr::AgtmImpl::ComponentMixingFunction({.fRed=1.f}),
SkColor4f({0.5f, 0.75f, 0.25f, 1.f}),
SkColor4f({0.5f, 0.5f, 0.5f, 1.f}));
test("Green only",
skhdr::AgtmImpl::ComponentMixingFunction({.fGreen=1.f}),
SkColor4f({0.75f, 0.5f, 0.25f, 1.f}),
SkColor4f({0.5f, 0.5f, 0.5f, 1.f}));
test("Blue only",
skhdr::AgtmImpl::ComponentMixingFunction({.fBlue=1.f}),
SkColor4f({0.75f, 0.25f, 0.5f, 1.f}),
SkColor4f({0.5f, 0.5f, 0.5f, 1.f}));
test("Max only",
skhdr::AgtmImpl::ComponentMixingFunction({.fMax=1.f}),
SkColor4f({0.75f, 0.5f, 0.25f, 1.f}),
SkColor4f({0.75f, 0.75f, 0.75f, 1.f}));
test("Min only",
skhdr::AgtmImpl::ComponentMixingFunction({.fMin=1.f}),
SkColor4f({0.75f, 0.5f, 0.25f, 1.f}),
SkColor4f({0.25f, 0.25f, 0.25f, 1.f}));
test("Component only",
skhdr::AgtmImpl::ComponentMixingFunction({.fComponent=1.f}),
SkColor4f({0.75f, 0.5f, 0.25f, 1.f}),
SkColor4f({0.75f, 0.5f, 0.25f, 1.f}));
test("CIE Y (luminance)",
skhdr::AgtmImpl::ComponentMixingFunction({.fRed=0.2627f, .fGreen=0.6780f, .fBlue=0.0593f}),
SkColor4f({0.75f, 0.5f, 0.25f, 0.125f}),
SkColor4f({0.55085f, 0.55085f, 0.55085f, 0.125f}));
test("max-component",
skhdr::AgtmImpl::ComponentMixingFunction({.fMax=0.75f, .fComponent=0.25f}),
SkColor4f({0.75f, 0.5f, 0.25f, 0.125f}),
SkColor4f({0.75f, 0.6875f, 0.6250f, 0.125f}));
}
DEF_TEST(HdrMetadata_Agtm_RWTMO, r) {
skhdr::AgtmImpl agtm;
agtm.fBaselineHdrHeadroom = 1.f;
agtm.populateUsingRwtmo();
REPORTER_ASSERT(r, memcmp(&agtm.fGainApplicationSpacePrimaries, &SkNamedPrimaries::kRec2020,
sizeof(SkColorSpacePrimaries)) == 0);
REPORTER_ASSERT(r, agtm.fNumAlternateImages == 2);
REPORTER_ASSERT(r, agtm.fAlternateHdrHeadroom[0] == 0.f);
REPORTER_ASSERT(r, SkScalarNearlyEqual(agtm.fAlternateHdrHeadroom[1], 0.6151137835929048f));
const float xExpected[2][8] = {
{1.00000f, 1.06461f, 1.15531f, 1.27209f, 1.41494f, 1.58388f, 1.77890f, 2.00000f},
{1.00000f, 1.10504f, 1.22269f, 1.35294f, 1.49580f, 1.65126f, 1.81933f, 2.00000f},
};
const float yExpected[2][8] = {
{-0.35356f, -0.37367f, -0.42913f, -0.51246f, -0.61663f, -0.73563f, -0.86465f, -1.00000f},
{ 0.00000f, -0.01253f, -0.04583f, -0.09477f, -0.15559f, -0.22550f, -0.30244f, -0.38489f},
};
const float mExpected[2][8] = {
{0.00000f, -0.50266f, -0.68079f, -0.73059f, -0.72159f, -0.68535f, -0.63784f, -0.58742f},
{0.00000f, -0.21470f, -0.33759f, -0.40581f, -0.44088f, -0.45573f, -0.45828f, -0.45351f},
};
for (size_t a = 0; a < 2; ++a) {
const auto& cubic = agtm.fGainFunction[a].fPiecewiseCubic;
REPORTER_ASSERT(r, cubic.fNumControlPoints == 8);
for (size_t c = 0; c < 8; ++c) {
REPORTER_ASSERT(r, SkScalarNearlyEqual(xExpected[a][c], cubic.fX[c]));
REPORTER_ASSERT(r, SkScalarNearlyEqual(yExpected[a][c], cubic.fY[c]));
REPORTER_ASSERT(r, SkScalarNearlyEqual(mExpected[a][c], cubic.fM[c]));
}
}
}
DEF_TEST(HdrMetadata_Agtm_Weighting, r) {
skhdr::AgtmImpl agtm;
auto test = [&r, &agtm](const std::string& name,
float targetedHdrHeadroom,
const skhdr::AgtmImpl::Weighting& wExpected) {
skiatest::ReporterContext ctx(r, name);
skhdr::AgtmImpl::Weighting w = agtm.computeWeighting(targetedHdrHeadroom);
REPORTER_ASSERT(r, w.fWeight[0] == wExpected.fWeight[0]);
REPORTER_ASSERT(r, w.fWeight[1] == wExpected.fWeight[1]);
REPORTER_ASSERT(r, w.fAlternateImageIndex[0] == wExpected.fAlternateImageIndex[0]);
REPORTER_ASSERT(r, w.fAlternateImageIndex[1] == wExpected.fAlternateImageIndex[1]);
};
// Tests with a single baseline representation.
agtm.fBaselineHdrHeadroom = 1.f;
test("base-1, target-0", 0.f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
test("base-1, target-1", 1.f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
test("base-2, target-2", 2.f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
// Tests with a baseline and an alternate representation.
agtm.fBaselineHdrHeadroom = 1.f;
agtm.fNumAlternateImages = 1;
agtm.fAlternateHdrHeadroom[0] = 0.f;
test("base-1-alt0, target-0", 0.f,
{{0, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{1.f, 0.f}});
test("base-1-alt0, target-0.25", 0.25f,
{{0, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.75f, 0.f}});
test("base-1-alt0, target-1", 1.f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
test("base-1-alt0, target-1.25", 1.25f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
// Two alternate representations.
agtm.fBaselineHdrHeadroom = 1.f;
agtm.fNumAlternateImages = 2;
agtm.fAlternateHdrHeadroom[0] = 0.f;
agtm.fAlternateHdrHeadroom[1] = 2.f;
test("base-1-alt0-alt2, target-0", 0.f,
{{0, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{1.f, 0.f}});
test("base-1-alt0-alt2, target-0.25", 0.25f,
{{0, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.75f, 0.f}});
test("base-1-alt0-alt2, target-1", 1.f,
{{skhdr::AgtmImpl::Weighting::kInvalidIndex, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.f, 0.f}});
test("base-1-alt0-alt2, target-1.25", 1.25f,
{{1, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{0.25f, 0.f}});
test("base-1-alt0-alt2, target-2", 2.f,
{{1, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{1.f, 0.f}});
test("base-1-alt0-alt2, target-3", 3.f,
{{1, skhdr::AgtmImpl::Weighting::kInvalidIndex},
{1.f, 0.f}});
// Two alternate representations again, now mix-able.
agtm.fBaselineHdrHeadroom = 2.f;
agtm.fNumAlternateImages = 2;
agtm.fAlternateHdrHeadroom[0] = 0.f;
agtm.fAlternateHdrHeadroom[1] = 1.f;
test("base-2-alt0-alt1, target-0.25", 0.25f,
{{0, 1},
{0.75f, 0.25f}});
}
static bool operator==(const SkColorSpacePrimaries& a, const SkColorSpacePrimaries& b) {
return memcmp(&a, &b, sizeof(a)) == 0;
}
static void assert_agtms_equal(skiatest::Reporter* r,
const skhdr::AgtmImpl& agtmIn,
const skhdr::AgtmImpl& agtmOut) {
// Allow error for headrooms, x, and y to twice the their encoding step.
constexpr float kHeadroomError = 2.f * 1.f / 10000.f;
constexpr float kXError = 2.f * 1.f / 1000.f;
constexpr float kYError = 2.f * 1.f / 4000.f;
// Allow a wider error for slope because its encoding is non-uniform.
constexpr float kMError = 0.005f;
REPORTER_ASSERT(r, agtmIn.fType == agtmOut.fType);
REPORTER_ASSERT(r, agtmIn.fHdrReferenceWhite == agtmOut.fHdrReferenceWhite);
REPORTER_ASSERT(r, SkScalarNearlyEqual(
agtmIn.fBaselineHdrHeadroom, agtmOut.fBaselineHdrHeadroom, kHeadroomError));
REPORTER_ASSERT(r, agtmIn.fGainApplicationSpacePrimaries ==
agtmOut.fGainApplicationSpacePrimaries);
REPORTER_ASSERT(r, agtmIn.fNumAlternateImages == agtmOut.fNumAlternateImages);
if (agtmIn.fNumAlternateImages != agtmOut.fNumAlternateImages) {
return;
}
for (uint8_t a = 0; a < agtmIn.fNumAlternateImages; ++a) {
skiatest::ReporterContext ctxA(r, SkStringPrintf("AlternateImage:a=%u", a));
REPORTER_ASSERT(r, SkScalarNearlyEqual(
agtmIn.fAlternateHdrHeadroom[a], agtmOut.fAlternateHdrHeadroom[a], kHeadroomError));
auto& mixIn = agtmIn.fGainFunction[a].fComponentMixing;
auto& mixOut = agtmOut.fGainFunction[a].fComponentMixing;
REPORTER_ASSERT(r, mixIn.fRed == mixOut.fRed);
REPORTER_ASSERT(r, mixIn.fGreen == mixOut.fGreen);
REPORTER_ASSERT(r, mixIn.fBlue == mixOut.fBlue);
REPORTER_ASSERT(r, mixIn.fMax == mixOut.fMax);
REPORTER_ASSERT(r, mixIn.fMin == mixOut.fMin);
REPORTER_ASSERT(r, mixIn.fComponent == mixOut.fComponent);
auto& curveIn = agtmIn.fGainFunction[a].fPiecewiseCubic;
auto& curveOut = agtmOut.fGainFunction[a].fPiecewiseCubic;
REPORTER_ASSERT(r, curveIn.fNumControlPoints == curveOut.fNumControlPoints);
if (curveIn.fNumControlPoints != curveOut.fNumControlPoints) {
return;
}
for (uint8_t c = 0; c < curveIn.fNumControlPoints; ++c) {
skiatest::ReporterContext ctxC(r, SkStringPrintf("ControlPoint:c=%u", c));
REPORTER_ASSERT(r, SkScalarNearlyEqual(curveIn.fX[c], curveOut.fX[c], kXError));
REPORTER_ASSERT(r, SkScalarNearlyEqual(curveIn.fY[c], curveOut.fY[c], kYError));
REPORTER_ASSERT(r, SkScalarNearlyEqual(curveIn.fM[c], curveOut.fM[c], kMError));
}
}
}
// Test round-trip serialization of AGTM metadata.
DEF_TEST(HdrMetadata_Agtm_Serialize, r) {
{
skiatest::ReporterContext ctx(r, "NoAdaptiveToneMap");
skhdr::AgtmImpl agtmIn;
agtmIn.fHdrReferenceWhite = 123.f;
agtmIn.fType = skhdr::AgtmImpl::Type::kNone;
skhdr::AgtmImpl agtmOut;
REPORTER_ASSERT(r, agtmOut.parse(agtmIn.serialize().get()));
assert_agtms_equal(r, agtmIn, agtmOut);
}
{
skiatest::ReporterContext ctx(r, "RWTMO");
skhdr::AgtmImpl agtmIn;
agtmIn.fBaselineHdrHeadroom = 1.f;
agtmIn.populateUsingRwtmo();
skhdr::AgtmImpl agtmOut;
REPORTER_ASSERT(r, agtmOut.parse(agtmIn.serialize().get()));
assert_agtms_equal(r, agtmIn, agtmOut);
}
{
skiatest::ReporterContext ctx(r, "ClampInRec601");
skhdr::AgtmImpl agtmIn;
agtmIn.fType = skhdr::AgtmImpl::Type::kCustom;
agtmIn.fHdrReferenceWhite = 100.f;
agtmIn.fBaselineHdrHeadroom = 2.f;
agtmIn.fGainApplicationSpacePrimaries = SkNamedPrimaries::kRec601;
agtmIn.fNumAlternateImages = 0;
skhdr::AgtmImpl agtmOut;
REPORTER_ASSERT(r, agtmOut.parse(agtmIn.serialize().get()));
assert_agtms_equal(r, agtmIn, agtmOut);
}
{
skiatest::ReporterContext ctx(r, "OneAlternates");
skhdr::AgtmImpl agtmIn;
agtmIn.fType = skhdr::AgtmImpl::Type::kCustom;
agtmIn.fHdrReferenceWhite = 400.f;
agtmIn.fBaselineHdrHeadroom = 4.f;
agtmIn.fGainApplicationSpacePrimaries = SkNamedPrimaries::kSMPTE_EG_432_1;
agtmIn.fNumAlternateImages = 1;
agtmIn.fAlternateHdrHeadroom[0] = 0.f;
agtmIn.fGainFunction[0] = {
.fComponentMixing = {
.fMax = 1.f,
},
.fPiecewiseCubic = {
.fNumControlPoints = 2u,
.fX = {1.f, 16.f},
.fY = {0.f, -4.f},
.fM = {0.f, 0.f},
},
};
skhdr::AgtmImpl agtmOut;
REPORTER_ASSERT(r, agtmOut.parse(agtmIn.serialize().get()));
assert_agtms_equal(r, agtmIn, agtmOut);
}
{
skiatest::ReporterContext ctx(r, "FourAlternates");
skhdr::AgtmImpl agtmIn;
agtmIn.fType = skhdr::AgtmImpl::Type::kCustom;
agtmIn.fHdrReferenceWhite = 400.f;
agtmIn.fBaselineHdrHeadroom = 2.f;
agtmIn.fGainApplicationSpacePrimaries = SkNamedPrimaries::kSMPTE_EG_432_1;
agtmIn.fNumAlternateImages = 4;
agtmIn.fAlternateHdrHeadroom[0] = 0.f;
agtmIn.fAlternateHdrHeadroom[1] = 1.f;
agtmIn.fAlternateHdrHeadroom[2] = 3.f;
agtmIn.fAlternateHdrHeadroom[3] = 4.f;
agtmIn.fGainFunction[0] = {
.fComponentMixing = {
.fMax = 0.75f,
.fMin = 0.25f
},
.fPiecewiseCubic = {
.fNumControlPoints = 1u,
.fX = {0.f},
.fY = {1.f},
.fM = {0.f},
},
};
agtmIn.fGainFunction[1] = {
.fComponentMixing = {
.fMax = 1.f,
},
.fPiecewiseCubic = {
.fNumControlPoints = 4u,
.fX = {0.f, 1.f, 2.f, 3.f},
.fY = {1.f, 0.5f, 0.4f, 0.3f},
.fM = {0.f, 0.1f, 0.2f, 0.3f},
},
};
agtmIn.fGainFunction[2] = {
.fComponentMixing = {
.fComponent = 1.f,
},
.fPiecewiseCubic = {
.fNumControlPoints = 2u,
.fX = {0.f, 1.f},
.fY = {1.f, 0.5f},
.fM = {0.f, 0.1f},
},
};
agtmIn.fGainFunction[3] = {
.fComponentMixing = {
.fRed = 0.3f,
.fGreen = 0.6f,
.fBlue = 0.1f,
},
.fPiecewiseCubic = {
.fNumControlPoints = 3u,
.fX = {0.f, 1.f, 2.f},
.fY = {1.f, 0.5f, 0.4f},
.fM = {0.f, 0.1f, 0.5},
},
};
skhdr::AgtmImpl agtmOut;
REPORTER_ASSERT(r, agtmOut.parse(agtmIn.serialize().get()));
assert_agtms_equal(r, agtmIn, agtmOut);
}
}
// Test the logic to apply the AGTM tone mapping.
DEF_TEST(HdrMetadata_Agtm_Apply_and_Shader, r) {
// This will tone map several input colors to different targeted HDR headrooms using this
// RWTMO metadata.
skhdr::AgtmImpl agtm;
agtm.fBaselineHdrHeadroom = 2;
agtm.populateUsingRwtmo();
agtm.populateGainCurvesXYM();
// We will use the following input pixel values in gain application color space. These include
// monochrome and non-monochrome values, as well as values that are less than white (less than
// 1) and brighter than white (greater than 1).
constexpr size_t kNumTestColors = 6;
SkColor4f inputTestColors[kNumTestColors] = {
{1.00f, 1.00f, 1.00f, 1.f},
{1.00f, 0.50f, 0.25f, 1.f},
{4.00f, 4.00f, 4.00f, 1.f},
{1.00f, 2.00f, 4.00f, 1.f},
{0.50f, 0.50f, 0.50f, 1.f},
{2.00f, 2.00f, 2.00f, 1.f},
};
// We will test applying the gain for the following targetd HDR headroom values.
constexpr size_t kNumTests = 5;
const float testTargetedHdrHeadrooms[kNumTests] = {
0.f,
1.f,
agtm.fAlternateHdrHeadroom[1],
std::log2(3.f),
2.f,
};
// These are the expected output pixel values for each of the targted HDR headrooms.
SkColor4f expectedTestColors[kNumTests][kNumTestColors] = {
{
{0.565302f, 0.565302f, 0.565302f, 1.f},
{0.565302f, 0.282651f, 0.141326f, 1.f},
{1.000000f, 1.000000f, 1.000000f, 1.f},
{0.250000f, 0.500000f, 1.000000f, 1.f},
{0.282651f, 0.282651f, 0.282651f, 1.f},
{0.815278f, 0.815278f, 0.815278f, 1.f},
},
{
{0.898755f, 0.898755f, 0.898755f, 1.f},
{0.898755f, 0.449377f, 0.224689f, 1.f},
{2.000000f, 2.000000f, 2.000000f, 1.f},
{0.500000f, 1.000000f, 2.000000f, 1.f},
{0.449377f, 0.449377f, 0.449377f, 1.f},
{1.471569f, 1.471569f, 1.471569f, 1.f},
},
{
{1.000000f, 1.000000f, 1.000000f, 1.f},
{1.000000f, 0.500000f, 0.250000f, 1.f},
{2.346040f, 2.346040f, 2.346040f, 1.f},
{0.586510f, 1.173020f, 2.346040f, 1.f},
{0.500000f, 0.500000f, 0.500000f, 1.f},
{1.685886f, 1.685886f, 1.685886f, 1.f},
},
{
{1.000000f, 1.000000f, 1.000000f, 1.f},
{1.000000f, 0.500000f, 0.250000f, 1.f},
{3.000000f, 3.000000f, 3.000000f, 1.f},
{0.750000f, 1.500000f, 3.000000f, 1.f},
{0.500000f, 0.500000f, 0.500000f, 1.f},
{1.823991f, 1.823991f, 1.823991f, 1.f},
},
{
{1.00f, 1.00f, 1.00f, 1.f},
{1.00f, 0.50f, 0.25f, 1.f},
{4.00f, 4.00f, 4.00f, 1.f},
{1.00f, 2.00f, 4.00f, 1.f},
{0.50f, 0.50f, 0.50f, 1.f},
{2.00f, 2.00f, 2.00f, 1.f},
},
};
// All of the math is done with at least half-precision. Given the range of values we are in
// (not far from 1), we should maintain at least ten bit precision.
constexpr float kEpsilon = 1.f/1024.f;
// Test the Agtm::applyGain function.
for (size_t t = 0; t < kNumTests; ++t) {
const auto targetedHdrHeadroom = testTargetedHdrHeadrooms[t];
skiatest::ReporterContext ctx(r, SkStringPrintf("AgtmImpl::applyGain, targetedHdrHeadroom:%f", targetedHdrHeadroom));
// Copy the inputTextColors to outputTestColors (because applyGain works in-place).
SkColor4f outputTestColors[kNumTestColors];
for (size_t i = 0; i < kNumTestColors; ++i) {
outputTestColors[i] = inputTestColors[i];
}
// Apply the tone mapping gain in-place on outputTestColors.
agtm.applyGain(SkSpan<SkColor4f>(outputTestColors, kNumTestColors), targetedHdrHeadroom);
// Verify the result matches expectations.
for (size_t i = 0; i < kNumTestColors; ++i) {
const auto& output = outputTestColors[i];
const auto& expected = expectedTestColors[t][i];
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fR, expected.fR, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fG, expected.fG, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fB, expected.fB, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fA, expected.fA, kEpsilon));
}
}
// Test using an SkColorFilter to apply the gain.
for (size_t t = 0; t < kNumTests; ++t) {
const auto targetedHdrHeadroom = testTargetedHdrHeadrooms[t];
skiatest::ReporterContext ctx(r, SkStringPrintf("Agtm::makeColorFilter, targetedHdrHeadroom:%f", targetedHdrHeadroom));
// The input and output images will be kNumTestColors-by-1.
const auto info = SkImageInfo::Make(
kNumTestColors, 1,
kRGBA_F32_SkColorType, kPremul_SkAlphaType,
agtm.getGainApplicationSpace());
// Create an SkImage that references the inputTestColors array directly.
sk_sp<SkImage> inputImage = SkImages::RasterFromData(
info,
SkData::MakeWithoutCopy(inputTestColors, sizeof(inputTestColors)),
info.minRowBytes());
// Create an output SkBitmap to draw into.
SkBitmap bm;
bm.allocPixels(info);
// Call drawImage, using the color filter created by Agtm::makeColorFilter.
{
SkPaint paint;
auto colorFilter = agtm.makeColorFilter(targetedHdrHeadroom);
SkASSERT(colorFilter);
paint.setColorFilter(colorFilter);
auto canvas = SkCanvas::MakeRasterDirect(bm.info(), bm.getPixels(), bm.rowBytes());
canvas->drawImage(inputImage.get(), 0, 0, SkSamplingOptions(), &paint);
}
// Verify that the pixels written into the SkBitmap match the expected values.
for (size_t i = 0; i < kNumTestColors; ++i) {
const auto& output = *reinterpret_cast<const SkColor4f*>(bm.getAddr(i, 0));
const auto& expected = expectedTestColors[t][i];
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fR, expected.fR, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fG, expected.fG, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fB, expected.fB, kEpsilon));
REPORTER_ASSERT(r, SkScalarNearlyEqual(output.fA, expected.fA, kEpsilon));
}
}
}