#ifdefined(__clang__) // That #include <immintrin.h> is usually enough, but Clang's headers // "helpfully" skip including the whole kitchen sink when _MSC_VER is // defined, because lots of programs on Windows would include that and // it'd be a lot slower. But we want all those headers included so we // can use their features after runtime checks later. #include <smmintrin.h> #include <avxintrin.h> #include <avx2intrin.h> #include <avx512fintrin.h> #include <avx512dqintrin.h> #endif #endif
staticfloat log2f_(float x) { // The first approximation of log2(x) is its exponent 'e', minus 127.
int32_t bits;
memcpy(&bits, &x, sizeof(bits));
float e = (float)bits * (1.0f / (1<<23));
// If we use the mantissa too we can refine the error signficantly.
int32_t m_bits = (bits & 0x007fffff) | 0x3f000000; float m;
memcpy(&m, &m_bits, sizeof(m));
// Before we cast fbits to int32_t, check for out of range values to pacify UBSAN. // INT_MAX is not exactly representable as a float, so exclude it as effectively infinite. // Negative values are effectively underflow - we'll end up returning a (different) negative // value, which makes no sense. So clamp to zero. if (fbits >= (float)INT_MAX) { return INFINITY_;
} elseif (fbits < 0) { return 0;
}
// Not static, as it's used by some test tools. float powf_(float x, float y) { if (x <= 0.f) { return 0.f;
} if (x == 1.f) { return 1.f;
} return exp2f_(log2f_(x) * y);
}
// Most transfer functions we work with are sRGBish. // For exotic HDR transfer functions, we encode them using a tf.g that makes no sense, // and repurpose the other fields to hold the parameters of the HDR functions. struct TF_PQish { float A,B,C,D,E,F; }; struct TF_HLGish { float R,G,a,b,c,K_minus_1; }; // We didn't originally support a scale factor K for HLG, and instead just stored 0 in // the unused `f` field of skcms_TransferFunction for HLGish and HLGInvish transfer functions. // By storing f=K-1, those old unusued f=0 values now mean K=1, a noop scale factor.
staticfloat TFKind_marker(skcms_TFType kind) { // We'd use different NaNs, but those aren't guaranteed to be preserved by WASM. return -(float)kind;
}
static skcms_TFType classify(const skcms_TransferFunction& tf, TF_PQish* pq = nullptr
, TF_HLGish* hlg = nullptr) { if (tf.g < 0) { // Negative "g" is mapped to enum values; large negative are for sure invalid. if (tf.g < -128) { return skcms_TFType_Invalid;
} int enum_g = -static_cast<int>(tf.g); // Non-whole "g" values are invalid as well. if (static_cast<float>(-enum_g) != tf.g) { return skcms_TFType_Invalid;
} // TODO: soundness checks for PQ/HLG like we do for sRGBish? switch (enum_g) { case skcms_TFType_PQish: if (pq) {
memcpy(pq , &tf.a, sizeof(*pq ));
} return skcms_TFType_PQish; case skcms_TFType_HLGish: if (hlg) {
memcpy(hlg, &tf.a, sizeof(*hlg));
} return skcms_TFType_HLGish; case skcms_TFType_HLGinvish: if (hlg) {
memcpy(hlg, &tf.a, sizeof(*hlg));
} return skcms_TFType_HLGinvish;
} return skcms_TFType_Invalid;
}
// Basic soundness checks for sRGBish transfer functions. if (isfinitef_(tf.a + tf.b + tf.c + tf.d + tf.e + tf.f + tf.g) // a,c,d,g should be non-negative to make any sense.
&& tf.a >= 0
&& tf.c >= 0
&& tf.d >= 0
&& tf.g >= 0 // Raising a negative value to a fractional tf->g produces complex numbers.
&& tf.a * tf.d + tf.b >= 0) { return skcms_TFType_sRGBish;
}
case skcms_TFType_HLGish: { constfloat K = hlg.K_minus_1 + 1.0f; return K * sign * (x*hlg.R <= 1 ? powf_(x*hlg.R, hlg.G)
: expf_((x-hlg.c)*hlg.a) + hlg.b);
}
// skcms_TransferFunction_invert() inverts R, G, and a for HLGinvish so this math is fast. case skcms_TFType_HLGinvish: { constfloat K = hlg.K_minus_1 + 1.0f;
x /= K; return sign * (x <= 1 ? hlg.R * powf_(x, hlg.G)
: hlg.a * logf_(x - hlg.b) + hlg.c);
}
case skcms_TFType_sRGBish: return sign * (x < tf->d ? tf->c * x + tf->f
: powf_(tf->a * x + tf->b, tf->g) + tf->e);
float ix = fmaxf_(0, fminf_(x, 1)) * static_cast<float>(curve->table_entries - 1); int lo = (int) ix ,
hi = (int)(float)minus_1_ulp(ix + 1.0f); float t = ix - (float)lo;
// s15Fixed16ArrayType is technically variable sized, holding N values. However, the only valid // use of the type is for the CHAD tag that stores exactly nine values. typedefstruct {
uint8_t type [ 4];
uint8_t reserved [ 4];
uint8_t values [36];
} sf32_Layout;
bool skcms_GetCHAD(const skcms_ICCProfile* profile, skcms_Matrix3x3* m) {
skcms_ICCTag tag; if (!skcms_GetTagBySignature(profile, skcms_Signature_CHAD, &tag)) { returnfalse;
}
const sf32_Layout* sf32Tag = (const sf32_Layout*)tag.buf; const uint8_t* values = sf32Tag->values; for (int r = 0; r < 3; ++r) for (int c = 0; c < 3; ++c, values += 4) {
m->vals[r][c] = read_big_fixed(values);
} returntrue;
}
// XYZType is technically variable sized, holding N XYZ triples. However, the only valid uses of // the type are for tags/data that store exactly one triple. typedefstruct {
uint8_t type [4];
uint8_t reserved [4];
uint8_t X [4];
uint8_t Y [4];
uint8_t Z [4];
} XYZ_Layout;
staticint data_color_space_channel_count(uint32_t data_color_space) { switch (data_color_space) { case skcms_Signature_CMYK: return 4; case skcms_Signature_Gray: return 1; case skcms_Signature_RGB: return 3; case skcms_Signature_Lab: return 3; case skcms_Signature_XYZ: return 3; case skcms_Signature_CIELUV: return 3; case skcms_Signature_YCbCr: return 3; case skcms_Signature_CIEYxy: return 3; case skcms_Signature_HSV: return 3; case skcms_Signature_HLS: return 3; case skcms_Signature_CMY: return 3; case skcms_Signature_2CLR: return 2; case skcms_Signature_3CLR: return 3; case skcms_Signature_4CLR: return 4; case skcms_Signature_5CLR: return 5; case skcms_Signature_6CLR: return 6; case skcms_Signature_7CLR: return 7; case skcms_Signature_8CLR: return 8; case skcms_Signature_9CLR: return 9; case skcms_Signature_10CLR: return 10; case skcms_Signature_11CLR: return 11; case skcms_Signature_12CLR: return 12; case skcms_Signature_13CLR: return 13; case skcms_Signature_14CLR: return 14; case skcms_Signature_15CLR: return 15; default: return -1;
}
}
int skcms_GetInputChannelCount(const skcms_ICCProfile* profile) { int a2b_count = 0; if (profile->has_A2B) {
a2b_count = profile->A2B.input_channels != 0
? static_cast<int>(profile->A2B.input_channels)
: 3;
}
if (value_count < 2) {
curve->table_entries = 0;
curve->parametric.a = 1.0f;
curve->parametric.b = 0.0f;
curve->parametric.c = 0.0f;
curve->parametric.d = 0.0f;
curve->parametric.e = 0.0f;
curve->parametric.f = 0.0f; if (value_count == 0) { // Empty tables are a shorthand for an identity curve
curve->parametric.g = 1.0f;
} else { // Single entry tables are a shorthand for simple gamma
curve->parametric.g = read_big_u16(curvTag->variable) * (1.0f / 256.0f);
}
} else {
curve->table_8 = nullptr;
curve->table_16 = curvTag->variable;
curve->table_entries = value_count;
}
returntrue;
}
// Parses both curveType and parametricCurveType data. Ensures that at most 'size' bytes are read. // If curve_size is not nullptr, writes the number of bytes used by the curve in (*curve_size). staticbool read_curve(const uint8_t* buf, uint32_t size,
skcms_Curve* curve, uint32_t* curve_size) { if (!buf || size < 4 || !curve) { returnfalse;
}
staticbool read_mft_common(const mft_CommonLayout* mftTag, skcms_A2B* a2b) { // MFT matrices are applied before the first set of curves, but must be identity unless the // input is PCSXYZ. We don't support PCSXYZ profiles, so we ignore this matrix. Note that the // matrix in skcms_A2B is applied later in the pipe, so supporting this would require another // field/flag.
a2b->matrix_channels = 0;
a2b-> input_channels = mftTag-> input_channels[0];
a2b->output_channels = mftTag->output_channels[0];
// We require exactly three (ie XYZ/Lab/RGB) output channels if (a2b->output_channels != ARRAY_COUNT(a2b->output_curves)) { returnfalse;
} // We require at least one, and no more than four (ie CMYK) input channels if (a2b->input_channels < 1 || a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { returnfalse;
}
for (uint32_t i = 0; i < a2b->input_channels; ++i) {
a2b->grid_points[i] = mftTag->grid_points[0];
} // The grid only makes sense with at least two points along each axis if (a2b->grid_points[0] < 2) { returnfalse;
} returntrue;
}
// All as the A2B version above, except where noted. staticbool read_mft_common(const mft_CommonLayout* mftTag, skcms_B2A* b2a) { // Same as A2B.
b2a->matrix_channels = 0;
b2a-> input_channels = mftTag-> input_channels[0];
b2a->output_channels = mftTag->output_channels[0];
// For B2A, exactly 3 input channels (XYZ) and 3 (RGB) or 4 (CMYK) output channels. if (b2a->input_channels != ARRAY_COUNT(b2a->input_curves)) { returnfalse;
} if (b2a->output_channels < 3 || b2a->output_channels > ARRAY_COUNT(b2a->output_curves)) { returnfalse;
}
// Same as A2B. for (uint32_t i = 0; i < b2a->input_channels; ++i) {
b2a->grid_points[i] = mftTag->grid_points[0];
} if (b2a->grid_points[0] < 2) { returnfalse;
} returntrue;
}
template <typename A2B_or_B2A> staticbool init_tables(const uint8_t* table_base, uint64_t max_tables_len, uint32_t byte_width,
uint32_t input_table_entries, uint32_t output_table_entries,
A2B_or_B2A* out) { // byte_width is 1 or 2, [input|output]_table_entries are in [2, 4096], so no overflow
uint32_t byte_len_per_input_table = input_table_entries * byte_width;
uint32_t byte_len_per_output_table = output_table_entries * byte_width;
// [input|output]_channels are <= 4, so still no overflow
uint32_t byte_len_all_input_tables = out->input_channels * byte_len_per_input_table;
uint32_t byte_len_all_output_tables = out->output_channels * byte_len_per_output_table;
// We require exactly three (ie XYZ/Lab/RGB) output channels if (a2b->output_channels != ARRAY_COUNT(a2b->output_curves)) { returnfalse;
} // We require no more than four (ie CMYK) input channels if (a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { returnfalse;
}
// "B" curves must be present if (0 == b_curve_offset) { returnfalse;
}
if (!read_curves(tag->buf, tag->size, b_curve_offset, a2b->output_channels,
a2b->output_curves)) { returnfalse;
}
// "M" curves and Matrix must be used together if (0 != m_curve_offset) { if (0 == matrix_offset) { returnfalse;
}
a2b->matrix_channels = a2b->output_channels; if (!read_curves(tag->buf, tag->size, m_curve_offset, a2b->matrix_channels,
a2b->matrix_curves)) { returnfalse;
}
// "A" curves and CLUT must be used together if (0 != a_curve_offset) { if (0 == clut_offset) { returnfalse;
} if (!read_curves(tag->buf, tag->size, a_curve_offset, a2b->input_channels,
a2b->input_curves)) { returnfalse;
}
uint64_t grid_size = a2b->output_channels * clut->grid_byte_width[0]; // the payload for (uint32_t i = 0; i < a2b->input_channels; ++i) {
a2b->grid_points[i] = clut->grid_points[i]; // The grid only makes sense with at least two points along each axis if (a2b->grid_points[i] < 2) { returnfalse;
}
grid_size *= a2b->grid_points[i];
} if (tag->size < clut_offset + SAFE_FIXED_SIZE(CLUT_Layout) + grid_size) { returnfalse;
}
} else { if (0 != clut_offset) { returnfalse;
}
// If there is no CLUT, the number of input and output channels must match if (a2b->input_channels != a2b->output_channels) { returnfalse;
}
// Zero out the number of input channels to signal that we're skipping this stage
a2b->input_channels = 0;
}
returntrue;
}
// Exactly the same as read_tag_mab(), except where there are comments. // TODO: refactor the two to eliminate common code? staticbool read_tag_mba(const skcms_ICCTag* tag, skcms_B2A* b2a, bool pcs_is_xyz) { if (tag->size < SAFE_SIZEOF(mAB_or_mBA_Layout)) { returnfalse;
}
// "B" curves are our inputs, not outputs. if (!read_curves(tag->buf, tag->size, b_curve_offset, b2a->input_channels,
b2a->input_curves)) { returnfalse;
}
if (0 != m_curve_offset) { if (0 == matrix_offset) { returnfalse;
} // Matrix channels is tied to input_channels (3), not output_channels.
b2a->matrix_channels = b2a->input_channels;
if (!read_curves(tag->buf, tag->size, m_curve_offset, b2a->matrix_channels,
b2a->matrix_curves)) { returnfalse;
}
if (0 != a_curve_offset) { if (0 == clut_offset) { returnfalse;
}
// "A" curves are our output, not input. if (!read_curves(tag->buf, tag->size, a_curve_offset, b2a->output_channels,
b2a->output_curves)) { returnfalse;
}
uint64_t grid_size = b2a->output_channels * clut->grid_byte_width[0]; for (uint32_t i = 0; i < b2a->input_channels; ++i) {
b2a->grid_points[i] = clut->grid_points[i]; if (b2a->grid_points[i] < 2) { returnfalse;
}
grid_size *= b2a->grid_points[i];
} if (tag->size < clut_offset + SAFE_FIXED_SIZE(CLUT_Layout) + grid_size) { returnfalse;
}
} else { if (0 != clut_offset) { returnfalse;
}
if (b2a->input_channels != b2a->output_channels) { returnfalse;
}
// Zero out *output* channels to skip this stage.
b2a->output_channels = 0;
} returntrue;
}
// If you pass f, we'll fit a possibly-non-zero value for *f. // If you pass nullptr, we'll assume you want *f to be treated as zero. staticint fit_linear(const skcms_Curve* curve, int N, float tol, float* c, float* d, float* f = nullptr) {
assert(N > 1); // We iteratively fit the first points to the TF's linear piece. // We want the cx + f line to pass through the first and last points we fit exactly. // // As we walk along the points we find the minimum and maximum slope of the line before the // error would exceed our tolerance. We stop when the range [slope_min, slope_max] becomes // emtpy, when we definitely can't add any more points. // // Some points' error intervals may intersect the running interval but not lie fully // within it. So we keep track of the last point we saw that is a valid end point candidate, // and once the search is done, back up to build the line through *that* point. constfloat dx = 1.0f / static_cast<float>(N - 1);
int lin_points = 1;
float f_zero = 0.0f; if (f) {
*f = eval_curve(curve, 0);
} else {
f = &f_zero;
}
float slope_min = -INFINITY_; float slope_max = +INFINITY_; for (int i = 1; i < N; ++i) { float x = static_cast<float>(i) * dx; float y = eval_curve(curve, x);
float slope_max_i = (y + tol - *f) / x,
slope_min_i = (y - tol - *f) / x; if (slope_max_i < slope_min || slope_max < slope_min_i) { // Slope intervals would no longer overlap. break;
}
slope_max = fminf_(slope_max, slope_max_i);
slope_min = fmaxf_(slope_min, slope_min_i);
// Set D to the last point that met our tolerance.
*d = static_cast<float>(lin_points - 1) * dx; return lin_points;
}
// If this skcms_Curve holds an identity table, rewrite it as an identity skcms_TransferFunction. staticvoid canonicalize_identity(skcms_Curve* curve) { if (curve->table_entries && curve->table_entries <= (uint32_t)INT_MAX) { int N = (int)curve->table_entries;
float c = 0.0f, d = 0.0f, f = 0.0f; if (N == fit_linear(curve, N, 1.0f/static_cast<float>(2*N), &c,&d,&f)
&& c == 1.0f
&& f == 0.0f) {
curve->table_entries = 0;
curve->table_8 = nullptr;
curve->table_16 = nullptr;
curve->parametric = skcms_TransferFunction{1,1,0,0,0,0,0};
}
}
}
staticbool read_a2b(const skcms_ICCTag* tag, skcms_A2B* a2b, bool pcs_is_xyz) { bool ok = false; if (tag->type == skcms_Signature_mft1) { ok = read_tag_mft1(tag, a2b); } if (tag->type == skcms_Signature_mft2) { ok = read_tag_mft2(tag, a2b); } if (tag->type == skcms_Signature_mAB ) { ok = read_tag_mab(tag, a2b, pcs_is_xyz); } if (!ok) { returnfalse;
}
if (a2b->input_channels > 0) { canonicalize_identity(a2b->input_curves + 0); } if (a2b->input_channels > 1) { canonicalize_identity(a2b->input_curves + 1); } if (a2b->input_channels > 2) { canonicalize_identity(a2b->input_curves + 2); } if (a2b->input_channels > 3) { canonicalize_identity(a2b->input_curves + 3); }
if (a2b->matrix_channels > 0) { canonicalize_identity(a2b->matrix_curves + 0); } if (a2b->matrix_channels > 1) { canonicalize_identity(a2b->matrix_curves + 1); } if (a2b->matrix_channels > 2) { canonicalize_identity(a2b->matrix_curves + 2); }
if (a2b->output_channels > 0) { canonicalize_identity(a2b->output_curves + 0); } if (a2b->output_channels > 1) { canonicalize_identity(a2b->output_curves + 1); } if (a2b->output_channels > 2) { canonicalize_identity(a2b->output_curves + 2); }
returntrue;
}
staticbool read_b2a(const skcms_ICCTag* tag, skcms_B2A* b2a, bool pcs_is_xyz) { bool ok = false; if (tag->type == skcms_Signature_mft1) { ok = read_tag_mft1(tag, b2a); } if (tag->type == skcms_Signature_mft2) { ok = read_tag_mft2(tag, b2a); } if (tag->type == skcms_Signature_mBA ) { ok = read_tag_mba(tag, b2a, pcs_is_xyz); } if (!ok) { returnfalse;
}
if (b2a->input_channels > 0) { canonicalize_identity(b2a->input_curves + 0); } if (b2a->input_channels > 1) { canonicalize_identity(b2a->input_curves + 1); } if (b2a->input_channels > 2) { canonicalize_identity(b2a->input_curves + 2); }
if (b2a->matrix_channels > 0) { canonicalize_identity(b2a->matrix_curves + 0); } if (b2a->matrix_channels > 1) { canonicalize_identity(b2a->matrix_curves + 1); } if (b2a->matrix_channels > 2) { canonicalize_identity(b2a->matrix_curves + 2); }
if (b2a->output_channels > 0) { canonicalize_identity(b2a->output_curves + 0); } if (b2a->output_channels > 1) { canonicalize_identity(b2a->output_curves + 1); } if (b2a->output_channels > 2) { canonicalize_identity(b2a->output_curves + 2); } if (b2a->output_channels > 3) { canonicalize_identity(b2a->output_curves + 3); }
// Validate signature, size (smaller than buffer, large enough to hold tag table), // and major version
uint64_t tag_table_size = profile->tag_count * SAFE_SIZEOF(tag_Layout); if (signature != skcms_Signature_acsp ||
profile->size > len ||
profile->size < SAFE_SIZEOF(header_Layout) + tag_table_size ||
(version >> 24) > 4) { returnfalse;
}
// Validate that illuminant is D50 white if (fabsf_(illuminant_X - 0.9642f) > 0.0100f ||
fabsf_(illuminant_Y - 1.0000f) > 0.0100f ||
fabsf_(illuminant_Z - 0.8249f) > 0.0100f) { returnfalse;
}
// Validate that all tag entries have sane offset + size const tag_Layout* tags = get_tag_table(profile); for (uint32_t i = 0; i < profile->tag_count; ++i) {
uint32_t tag_offset = read_big_u32(tags[i].offset);
uint32_t tag_size = read_big_u32(tags[i].size);
uint64_t tag_end = (uint64_t)tag_offset + (uint64_t)tag_size; if (tag_size < 4 || tag_end > profile->size) { returnfalse;
}
}
0, // size, moot here
skcms_Signature_RGB, // data_color_space
skcms_Signature_XYZ, // pcs
0, // tag count, moot here
// We choose to represent sRGB with its canonical transfer function, // and with its canonical XYZD50 gamut matrix. true, // has_trc, followed by the 3 trc curves
{
{{0, {2.4f, (float)(1/1.055), (float)(0.055/1.055), (float)(1/12.92), 0.04045f, 0, 0}}},
{{0, {2.4f, (float)(1/1.055), (float)(0.055/1.055), (float)(1/12.92), 0.04045f, 0, 0}}},
{{0, {2.4f, (float)(1/1.055), (float)(0.055/1.055), (float)(1/12.92), 0.04045f, 0, 0}}},
},
false, // has_B2A, followed by B2A itself, which we also don't care about.
{
0,
{
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
},
false, // has_CICP, followed by cicp itself which we don't care about.
{ 0, 0, 0, 0 },
}; return &sRGB_profile;
}
const skcms_ICCProfile* skcms_XYZD50_profile() { // Just like sRGB above, but with identity transfer functions and toXYZD50 matrix. staticconst skcms_ICCProfile XYZD50_profile = {
nullptr, // buffer, moot here
0, // size, moot here
skcms_Signature_RGB, // data_color_space
skcms_Signature_XYZ, // pcs
0, // tag count, moot here
true, // has_trc, followed by the 3 trc curves
{
{{0, {1,1, 0,0,0,0,0}}},
{{0, {1,1, 0,0,0,0,0}}},
{{0, {1,1, 0,0,0,0,0}}},
},
true, // has_toXYZD50, followed by 3x3 toXYZD50 matrix
{{
{ 1,0,0 },
{ 0,1,0 },
{ 0,0,1 },
}},
false, // has_A2B, followed by A2B itself, which we don't care about.
{
0,
{
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
},
{0,0,0,0},
nullptr,
nullptr,
false, // has_B2A, followed by B2A itself, which we also don't care about.
{
0,
{
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
{{0, {0,0, 0,0,0,0,0}}},
},
bool skcms_ApproximatelyEqualProfiles(const skcms_ICCProfile* A, const skcms_ICCProfile* B) { // Test for exactly equal profiles first. if (A == B || 0 == memcmp(A,B, sizeof(skcms_ICCProfile))) { returntrue;
}
// For now this is the essentially the same strategy we use in test_only.c // for our skcms_Transform() smoke tests: // 1) transform A to XYZD50 // 2) transform B to XYZD50 // 3) return true if they're similar enough // Our current criterion in 3) is maximum 1 bit error per XYZD50 byte.
// skcms_252_random_bytes are 252 of a random shuffle of all possible bytes. // 252 is evenly divisible by 3 and 4. Only 192, 10, 241, and 43 are missing.
// We want to allow otherwise equivalent profiles tagged as grayscale and RGB // to be treated as equal. But CMYK profiles are a totally different ballgame. constauto CMYK = skcms_Signature_CMYK; if ((A->data_color_space == CMYK) != (B->data_color_space == CMYK)) { returnfalse;
}
// Interpret as RGB_888 if data color space is RGB or GRAY, RGBA_8888 if CMYK. // TODO: working with RGBA_8888 either way is probably fastest.
skcms_PixelFormat fmt = skcms_PixelFormat_RGB_888;
size_t npixels = 84; if (A->data_color_space == skcms_Signature_CMYK) {
fmt = skcms_PixelFormat_RGBA_8888;
npixels = 63;
}
// TODO: if A or B is a known profile (skcms_sRGB_profile, skcms_XYZD50_profile), // use pre-canned results and skip that skcms_Transform() call?
uint8_t dstA[252],
dstB[252]; if (!skcms_Transform(
skcms_252_random_bytes, fmt, skcms_AlphaFormat_Unpremul, A,
dstA, skcms_PixelFormat_RGB_888, skcms_AlphaFormat_Unpremul, skcms_XYZD50_profile(),
npixels)) { returnfalse;
} if (!skcms_Transform(
skcms_252_random_bytes, fmt, skcms_AlphaFormat_Unpremul, B,
dstB, skcms_PixelFormat_RGB_888, skcms_AlphaFormat_Unpremul, skcms_XYZD50_profile(),
npixels)) { returnfalse;
}
// TODO: make sure this final check has reasonable codegen. for (size_t i = 0; i < 252; i++) { if (abs((int)dstA[i] - (int)dstB[i]) > 1) { returnfalse;
}
} returntrue;
}
// Assumes that Y is 1.0f.
skcms_Vector3 wXYZ = { { wx / wy, 1, (1 - wx - wy) / wy } };
// Now convert toXYZ matrix to toXYZD50.
skcms_Vector3 wXYZD50 = { { 0.96422f, 1.0f, 0.82521f } };
// Calculate the chromatic adaptation matrix. We will use the Bradford method, thus // the matrices below. The Bradford method is used by Adobe and is widely considered // to be the best.
skcms_Matrix3x3 xyz_to_lms = {{
{ 0.8951f, 0.2664f, -0.1614f },
{ -0.7502f, 1.7135f, 0.0367f },
{ 0.0389f, -0.0685f, 1.0296f },
}};
skcms_Matrix3x3 lms_to_xyz = {{
{ 0.9869929f, -0.1470543f, 0.1599627f },
{ 0.4323053f, 0.5183603f, 0.0492912f },
{ -0.0085287f, 0.0400428f, 0.9684867f },
}};
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