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rawTherapee/rtengine/dcp.cc

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/*
* This file is part of RawTherapee.
*
* Copyright (c) 2012 Oliver Duis <www.oliverduis.de>
*
* RawTherapee is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* RawTherapee is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with RawTherapee. If not, see <https://www.gnu.org/licenses/>.
*/
#include <iostream>
#include <cstdio>
#include <cstring>
#include <functional>
#include <glib/gstdio.h>
#include <glibmm/fileutils.h>
#include <glibmm/miscutils.h>
#include <unordered_map>
#include "dcp.h"
#include "cJSON.h"
#include "color.h"
#include "iccmatrices.h"
#include "iccstore.h"
#include "imagefloat.h"
#include "rawimagesource.h"
#include "rt_math.h"
#include "utils.h"
#include "rtgui/options.h"
using namespace rtengine;
namespace
{
// This sRGB gamma is taken from DNG reference code, with the added linear extension past 1.0, as we run clipless here
DCPProfile::Matrix invert3x3(const DCPProfile::Matrix& a)
{
DCPProfile::Matrix res = a;
if (!invertMatrix(a, res)) {
std::cerr << "DCP matrix cannot be inverted! Expect weird output." << std::endl;
}
return res;
// const double res00 = a[1][1] * a[2][2] - a[2][1] * a[1][2];
// const double res10 = a[2][0] * a[1][2] - a[1][0] * a[2][2];
// const double res20 = a[1][0] * a[2][1] - a[2][0] * a[1][1];
// const double det = a[0][0] * res00 + a[0][1] * res10 + a[0][2] * res20;
// if (std::fabs(det) < 1.0e-10) {
// std::cerr << "DCP matrix cannot be inverted! Expect weird output." << std::endl;
// return a;
// }
// DCPProfile::Matrix res;
// res[0][0] = res00 / det;
// res[0][1] = (a[2][1] * a[0][2] - a[0][1] * a[2][2]) / det;
// res[0][2] = (a[0][1] * a[1][2] - a[1][1] * a[0][2]) / det;
// res[1][0] = res10 / det;
// res[1][1] = (a[0][0] * a[2][2] - a[2][0] * a[0][2]) / det;
// res[1][2] = (a[1][0] * a[0][2] - a[0][0] * a[1][2]) / det;
// res[2][0] = res20 / det;
// res[2][1] = (a[2][0] * a[0][1] - a[0][0] * a[2][1]) / det;
// res[2][2] = (a[0][0] * a[1][1] - a[1][0] * a[0][1]) / det;
// return res;
}
DCPProfile::Matrix multiply3x3(const DCPProfile::Matrix& a, const DCPProfile::Matrix& b)
{
DCPProfile::Matrix res;
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
res[i][j] = 0;
for (int k = 0; k < 3; ++k) {
res[i][j] += a[i][k] * b[k][j];
}
}
}
return res;
}
DCPProfile::Triple multiply3x3_v3(const DCPProfile::Matrix& a, const DCPProfile::Triple& b)
{
DCPProfile::Triple res = {};
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
res[i] += a[i][j] * b[j];
}
}
return res;
}
DCPProfile::Matrix mix3x3(const DCPProfile::Matrix& a, double mul_a, const DCPProfile::Matrix& b, double mul_b)
{
DCPProfile::Matrix res;
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
res[i][j] = a[i][j] * mul_a + b[i][j] * mul_b;
}
}
return res;
}
DCPProfile::Matrix mapWhiteMatrix(const DCPProfile::Triple& white1, const DCPProfile::Triple& white2)
{
// Code adapted from dng_color_spec::MapWhiteMatrix
// Use the linearized Bradford adaptation matrix
const DCPProfile::Matrix mb = {
{
{ 0.8951, 0.2664, -0.1614 },
{ -0.7502, 1.7135, 0.0367 },
{ 0.0389, -0.0685, 1.0296 }
}
};
DCPProfile::Triple w1 = multiply3x3_v3(mb, white1);
DCPProfile::Triple w2 = multiply3x3_v3(mb, white2);
// Negative white coordinates are kind of meaningless.
w1[0] = std::max(w1[0], 0.0);
w1[1] = std::max(w1[1], 0.0);
w1[2] = std::max(w1[2], 0.0);
w2[0] = std::max(w2[0], 0.0);
w2[1] = std::max(w2[1], 0.0);
w2[2] = std::max(w2[2], 0.0);
// Limit scaling to something reasonable.
DCPProfile::Matrix a = {};
a[0][0] = std::max(0.1, std::min(w1[0] > 0.0 ? w2[0] / w1[0] : 10.0, 10.0));
a[1][1] = std::max(0.1, std::min(w1[1] > 0.0 ? w2[1] / w1[1] : 10.0, 10.0));
a[2][2] = std::max(0.1, std::min(w1[2] > 0.0 ? w2[2] / w1[2] : 10.0, 10.0));
return multiply3x3(multiply3x3(invert3x3(mb), a), mb);
}
std::array<double, 2> xyzToXy(const DCPProfile::Triple& xyz)
{
const double total = xyz[0] + xyz[1] + xyz[2];
return
total > 0.0
? std::array<double, 2>{
xyz[0] / total,
xyz[1] / total
}
: std::array<double, 2>{
0.3457,
0.3585
};
}
DCPProfile::Triple xyToXyz(std::array<double, 2> xy)
{
// Restrict xy coord to someplace inside the range of real xy coordinates.
// This prevents math from doing strange things when users specify
// extreme temperature/tint coordinates.
xy[0] = std::max(0.000001, std::min(xy[0], 0.999999));
xy[1] = std::max(0.000001, std::min(xy[1], 0.999999));
const double sum = xy[0] + xy[1];
if (sum > 0.999999) {
const double scale = 0.999999 / sum;
xy[0] *= scale;
xy[1] *= scale;
}
return {
xy[0] / xy[1],
1.0,
(1.0 - xy[0] - xy[1]) / xy[1]
};
}
double calibrationIlluminantToTemperature(int light)
{
enum class LightSource {
UNKNOWN = 0,
DAYLIGHT = 1,
FLUORESCENT = 2,
TUNGSTEN = 3,
FLASH = 4,
FINE_WEATHER = 9,
CLOUDY_WEATHER = 10,
SHADE = 11,
DAYLIGHT_FLUORESCENT = 12, // D 5700 - 7100K
DAYWHITE_FLUORESCENT = 13, // N 4600 - 5500K
COOL_WHITE_FLUORESCENT = 14, // W 3800 - 4500K
WHITE_FLUORESCENT = 15, // WW 3250 - 3800K
WARM_WHITE_FLUORESCENT = 16, // L 2600 - 3250K
STANDARD_LIGHT_A = 17,
STANDARD_LIGHT_B = 18,
STANDARD_LIGHT_C = 19,
D55 = 20,
D65 = 21,
D75 = 22,
D50 = 23,
ISO_STUDIO_TUNGSTEN = 24,
OTHER = 255
};
// These temperatures are those found in DNG SDK reference code
switch (LightSource(light)) {
case LightSource::STANDARD_LIGHT_A:
case LightSource::TUNGSTEN: {
return 2850.0;
}
case LightSource::ISO_STUDIO_TUNGSTEN: {
return 3200.0;
}
case LightSource::D50: {
return 5000.0;
}
case LightSource::D55:
case LightSource::DAYLIGHT:
case LightSource::FINE_WEATHER:
case LightSource::FLASH:
case LightSource::STANDARD_LIGHT_B: {
return 5500.0;
}
case LightSource::D65:
case LightSource::STANDARD_LIGHT_C:
case LightSource::CLOUDY_WEATHER: {
return 6500.0;
}
case LightSource::D75:
case LightSource::SHADE: {
return 7500.0;
}
case LightSource::DAYLIGHT_FLUORESCENT: {
return (5700.0 + 7100.0) * 0.5;
}
case LightSource::DAYWHITE_FLUORESCENT: {
return (4600.0 + 5500.0) * 0.5;
}
case LightSource::COOL_WHITE_FLUORESCENT:
case LightSource::FLUORESCENT: {
return (3800.0 + 4500.0) * 0.5;
}
case LightSource::WHITE_FLUORESCENT: {
return (3250.0 + 3800.0) * 0.5;
}
case LightSource::WARM_WHITE_FLUORESCENT: {
return (2600.0 + 3250.0) * 0.5;
}
default: {
return 0.0;
}
}
}
double xyCoordToTemperature(const std::array<double, 2>& white_xy)
{
struct Ruvt {
double r;
double u;
double v;
double t;
};
static const Ruvt temp_table[] = {
{ 0, 0.18006, 0.26352, -0.24341 },
{ 10, 0.18066, 0.26589, -0.25479 },
{ 20, 0.18133, 0.26846, -0.26876 },
{ 30, 0.18208, 0.27119, -0.28539 },
{ 40, 0.18293, 0.27407, -0.30470 },
{ 50, 0.18388, 0.27709, -0.32675 },
{ 60, 0.18494, 0.28021, -0.35156 },
{ 70, 0.18611, 0.28342, -0.37915 },
{ 80, 0.18740, 0.28668, -0.40955 },
{ 90, 0.18880, 0.28997, -0.44278 },
{ 100, 0.19032, 0.29326, -0.47888 },
{ 125, 0.19462, 0.30141, -0.58204 },
{ 150, 0.19962, 0.30921, -0.70471 },
{ 175, 0.20525, 0.31647, -0.84901 },
{ 200, 0.21142, 0.32312, -1.0182 },
{ 225, 0.21807, 0.32909, -1.2168 },
{ 250, 0.22511, 0.33439, -1.4512 },
{ 275, 0.23247, 0.33904, -1.7298 },
{ 300, 0.24010, 0.34308, -2.0637 },
{ 325, 0.24702, 0.34655, -2.4681 },
{ 350, 0.25591, 0.34951, -2.9641 },
{ 375, 0.26400, 0.35200, -3.5814 },
{ 400, 0.27218, 0.35407, -4.3633 },
{ 425, 0.28039, 0.35577, -5.3762 },
{ 450, 0.28863, 0.35714, -6.7262 },
{ 475, 0.29685, 0.35823, -8.5955 },
{ 500, 0.30505, 0.35907, -11.324 },
{ 525, 0.31320, 0.35968, -15.628 },
{ 550, 0.32129, 0.36011, -23.325 },
{ 575, 0.32931, 0.36038, -40.770 },
{ 600, 0.33724, 0.36051, -116.45 }
};
double res = 0;
// Convert to uv space.
double u = 2.0 * white_xy[0] / (1.5 - white_xy[0] + 6.0 * white_xy[1]);
double v = 3.0 * white_xy[1] / (1.5 - white_xy[0] + 6.0 * white_xy[1]);
// Search for line pair coordinate is between.
double last_dt = 0.0;
for (uint32_t index = 1; index <= 30; ++index) {
// Convert slope to delta-u and delta-v, with length 1.
double du = 1.0;
double dv = temp_table[index].t;
double len = sqrt(1.0 + dv * dv);
du /= len;
dv /= len;
// Find delta from black body point to test coordinate.
double uu = u - temp_table[index].u;
double vv = v - temp_table[index].v;
// Find distance above or below line.
double dt = -uu * dv + vv * du;
// If below line, we have found line pair.
if (dt <= 0.0 || index == 30) {
// Find fractional weight of two lines.
if (dt > 0.0) {
dt = 0.0;
}
dt = -dt;
double f;
if (index == 1) {
f = 0.0;
} else {
f = dt / (last_dt + dt);
}
// Interpolate the temperature.
res = 1.0e6 / (temp_table[index - 1].r * f + temp_table[index].r * (1.0 - f));
break;
}
// Try next line pair.
last_dt = dt;
}
return res;
}
std::map<std::string, std::string> getAliases(const Glib::ustring& profile_dir)
{
const std::unique_ptr<std::FILE, std::function<void (std::FILE*)>> file(
g_fopen(Glib::build_filename(profile_dir, "camera_model_aliases.json").c_str(), "rb"),
[](std::FILE* file)
{
std::fclose(file);
}
);
if (!file) {
return {};
}
std::fseek(file.get(), 0, SEEK_END);
const long length = std::ftell(file.get());
if (length <= 0) {
return {};
}
std::unique_ptr<char[]> buffer(new char[length + 1]);
std::fseek(file.get(), 0, SEEK_SET);
const std::size_t read = std::fread(buffer.get(), 1, length, file.get());
buffer[read] = 0;
cJSON_Minify(buffer.get());
const std::unique_ptr<cJSON, decltype(&cJSON_Delete)> root(cJSON_Parse(buffer.get()), cJSON_Delete);
if (!root || !root->child) {
if (settings->verbose) {
std::cout << "Could not parse 'camera_model_aliases.json' file." << std::endl;
}
return {};
}
std::map<std::string, std::string> res;
for (const cJSON* camera = root->child; camera; camera = camera->next) {
if (cJSON_IsArray(camera)) {
const std::size_t array_size = cJSON_GetArraySize(camera);
for (std::size_t index = 0; index < array_size; ++index) {
const cJSON* const alias = cJSON_GetArrayItem(camera, index);
if (cJSON_IsString(alias)) {
res[alias->valuestring] = camera->string;
}
}
}
}
return res;
}
/**
* Returns a locale-independent case-insensitive collate key. Differs from
* Glib::ustring::casefold_collate_key() in that the Glib method may return
* different results depending on the current locale.
*/
std::string casefold_collate_key(const Glib::ustring &str)
{
return str.casefold().raw();
}
class DCPMetadata
{
private:
enum TagType {
INVALID = 0,
BYTE = 1,
ASCII = 2,
SHORT = 3,
LONG = 4,
RATIONAL = 5,
SBYTE = 6,
UNDEFINED = 7,
SSHORT = 8,
SLONG = 9,
SRATIONAL = 10,
FLOAT = 11,
DOUBLE = 12
};
enum ByteOrder {
UNKNOWN = 0,
INTEL = 0x4949,
MOTOROLA = 0x4D4D
};
public:
explicit DCPMetadata(FILE *file) :
file_(file),
order_(UNKNOWN)
{
}
bool parse()
{
if (!file_) {
#ifndef NDEBUG
std::cerr << "ERROR: No file opened." << std::endl;
#endif
return false;
}
setlocale(LC_NUMERIC, "C"); // to set decimal point in sscanf
// read tiff header
std::fseek(file_, 0, SEEK_SET);
std::uint16_t bo;
std::fread(&bo, 1, 2, file_);
order_ = ByteOrder(bo);
get2(); // Skip
// Seek to IFD
const std::size_t offset = get4();
std::fseek(file_, offset, SEEK_SET);
// First read the IFD directory
const std::uint16_t numtags = get2();
if (numtags > 1000) { // KodakIfd has lots of tags, thus 1000 as the limit
return false;
}
for (std::uint16_t i = 0; i < numtags; ++i) {
Tag tag;
if (parseTag(tag)) {
tags_[tag.id] = std::move(tag);
}
}
return true;
}
bool find(int id) const
{
return tags_.find(id) != tags_.end();
}
std::string toString(int id) const
{
const Tags::const_iterator tag = tags_.find(id);
if (tag != tags_.end()) {
if (tag->second.type == ASCII) {
return std::string(tag->second.value.begin(), tag->second.value.end()).c_str();
}
}
return {};
}
std::int32_t toInt(int id, std::size_t offset = 0, TagType as_type = INVALID) const
{
const Tags::const_iterator tag = tags_.find(id);
if (tag == tags_.end()) {
return 0;
}
if (as_type == INVALID) {
as_type = tag->second.type;
}
switch (as_type) {
case SBYTE: {
if (offset < tag->second.value.size()) {
return static_cast<signed char>(tag->second.value[offset]);
}
return 0;
}
case BYTE: {
if (offset < tag->second.value.size()) {
return tag->second.value[offset];
}
return 0;
}
case SSHORT: {
if (offset + 1 < tag->second.value.size()) {
return static_cast<std::int16_t>(sget2(tag->second.value.data() + offset));
}
return 0;
}
case SHORT: {
if (offset + 1 < tag->second.value.size()) {
return sget2(tag->second.value.data() + offset);
}
return 0;
}
case SLONG:
case LONG: {
if (offset + 3 < tag->second.value.size()) {
return sget4(tag->second.value.data() + offset);
}
return 0;
}
case SRATIONAL:
case RATIONAL: {
if (offset + 7 < tag->second.value.size()) {
const std::uint32_t denominator = sget4(tag->second.value.data() + offset + 4);
return
denominator == 0
? 0
: static_cast<std::int32_t>(sget4(tag->second.value.data() + offset)) / denominator;
}
return 0;
}
case FLOAT: {
return toDouble(id, offset);
}
default: {
return 0;
}
}
}
int toShort(int id, std::size_t offset = 0) const
{
return toInt(id, offset, SHORT);
}
double toDouble(int id, std::size_t offset = 0) const
{
const Tags::const_iterator tag = tags_.find(id);
if (tag == tags_.end()) {
return 0.0;
}
switch (tag->second.type) {
case SBYTE: {
if (offset < tag->second.value.size()) {
return static_cast<signed char>(tag->second.value[offset]);
}
return 0.0;
}
case BYTE: {
if (offset < tag->second.value.size()) {
return tag->second.value[offset];
}
return 0.0;
}
case SSHORT: {
if (offset + 1 < tag->second.value.size()) {
return static_cast<std::int16_t>(sget2(tag->second.value.data() + offset));
}
return 0.0;
}
case SHORT: {
if (offset + 1 < tag->second.value.size()) {
return sget2(tag->second.value.data() + offset);
}
return 0.0;
}
case SLONG:
case LONG: {
if (offset + 3 < tag->second.value.size()) {
return sget4(tag->second.value.data() + offset);
}
return 0.0;
}
case SRATIONAL:
case RATIONAL: {
if (offset + 7 < tag->second.value.size()) {
const std::int32_t numerator = sget4(tag->second.value.data() + offset);
const std::int32_t denominator = sget4(tag->second.value.data() + offset + 4);
return
denominator == 0
? 0.0
: static_cast<double>(numerator) / static_cast<double>(denominator);
}
return 0.0;
}
case FLOAT: {
if (offset + 3 < tag->second.value.size()) {
union IntFloat {
std::uint32_t i;
float f;
} conv;
conv.i = sget4(tag->second.value.data() + offset);
return conv.f; // IEEE FLOATs are already C format, they just need a recast
}
return 0.0;
}
default: {
return 0.0;
}
}
}
unsigned int getCount(int id) const
{
const Tags::const_iterator tag = tags_.find(id);
if (tag != tags_.end()) {
return tag->second.count;
}
return 0;
}
private:
struct Tag {
int id;
std::vector<unsigned char> value;
TagType type;
unsigned int count;
};
using Tags = std::unordered_map<int, Tag>;
std::uint16_t sget2(const std::uint8_t* s) const
{
if (order_ == INTEL) {
return s[0] | s[1] << 8;
} else {
return s[0] << 8 | s[1];
}
}
std::uint32_t sget4(const std::uint8_t* s) const
{
if (order_ == INTEL) {
return s[0] | s[1] << 8 | s[2] << 16 | s[3] << 24;
} else {
return s[0] << 24 | s[1] << 16 | s[2] << 8 | s[3];
}
}
std::uint16_t get2()
{
std::uint16_t res = std::numeric_limits<std::uint16_t>::max();
std::fread(&res, 1, 2, file_);
return sget2(reinterpret_cast<const std::uint8_t*>(&res));
}
std::uint32_t get4()
{
std::uint32_t res = std::numeric_limits<std::uint32_t>::max();
std::fread(&res, 1, 4, file_);
return sget4(reinterpret_cast<const std::uint8_t*>(&res));
}
static int getTypeSize(TagType type)
{
switch (type) {
case INVALID:
case BYTE:
case ASCII:
case SBYTE:
case UNDEFINED: {
return 1;
}
case SHORT:
case SSHORT: {
return 2;
}
case LONG:
case SLONG:
case FLOAT: {
return 4;
}
case RATIONAL:
case SRATIONAL:
case DOUBLE: {
return 8;
}
}
return 1;
}
bool parseTag(Tag& tag)
{
tag.id = get2();
tag.type = TagType(get2());
tag.count = std::max(1U, get4());
// Filter out invalid tags
// Note: The large count is to be able to pass LeafData ASCII tag which can be up to almost 10 megabytes,
// (only a small part of it will actually be parsed though)
if (
tag.type == INVALID
|| tag.type > DOUBLE
|| tag.count > 10 * 1024 * 1024
) {
tag.type = INVALID;
return false;
}
// Store next Tag's position in file
const std::size_t saved_position = std::ftell(file_) + 4;
// Load value field (possibly seek before)
const std::size_t value_size = static_cast<std::size_t>(tag.count) * getTypeSize(tag.type);
if (value_size > 4) {
if (std::fseek(file_, get4(), SEEK_SET) == -1) {
tag.type = INVALID;
return false;
}
}
// Read value
tag.value.resize(value_size + 1);
const std::size_t read = std::fread(tag.value.data(), 1, value_size, file_);
if (read != value_size) {
tag.type = INVALID;
return false;
}
tag.value[read] = '\0';
// Seek back to the saved position
std::fseek(file_, saved_position, SEEK_SET);
return true;
}
FILE* const file_;
Tags tags_;
ByteOrder order_;
};
} // namespace
struct DCPProfileApplyState::Data {
float pro_photo[3][3];
float work[3][3];
bool already_pro_photo;
bool use_tone_curve;
bool apply_look_table;
float bl_scale;
};
DCPProfileApplyState::DCPProfileApplyState() :
data(new Data{})
{
}
DCPProfileApplyState::~DCPProfileApplyState() = default;
DCPProfile::DCPProfile(const Glib::ustring& filename) :
has_color_matrix_1(false),
has_color_matrix_2(false),
has_forward_matrix_1(false),
has_forward_matrix_2(false),
has_tone_curve(false),
has_baseline_exposure_offset(false),
will_interpolate(false),
valid(false),
baseline_exposure_offset(0.0)
{
delta_info.hue_step = delta_info.val_step = look_info.hue_step = look_info.val_step = 0;
constexpr int tiff_float_size = 4;
enum TagKey {
TAG_KEY_COLOR_MATRIX_1 = 50721,
TAG_KEY_COLOR_MATRIX_2 = 50722,
TAG_KEY_PROFILE_HUE_SAT_MAP_DIMS = 50937,
TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_1 = 50938,
TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_2 = 50939,
TAG_KEY_PROFILE_TONE_CURVE = 50940,
TAG_KEY_PROFILE_TONE_COPYRIGHT = 50942,
TAG_KEY_CALIBRATION_ILLUMINANT_1 = 50778,
TAG_KEY_CALIBRATION_ILLUMINANT_2 = 50779,
TAG_KEY_FORWARD_MATRIX_1 = 50964,
TAG_KEY_FORWARD_MATRIX_2 = 50965,
TAG_KEY_PROFILE_LOOK_TABLE_DIMS = 50981, // ProfileLookup is the low quality variant
TAG_KEY_PROFILE_LOOK_TABLE_DATA = 50982,
TAG_KEY_PROFILE_HUE_SAT_MAP_ENCODING = 51107,
TAG_KEY_PROFILE_LOOK_TABLE_ENCODING = 51108,
TAG_KEY_BASELINE_EXPOSURE_OFFSET = 51109
};
static const float adobe_camera_raw_default_curve[] = {
0.00000f, 0.00078f, 0.00160f, 0.00242f,
0.00314f, 0.00385f, 0.00460f, 0.00539f,
0.00623f, 0.00712f, 0.00806f, 0.00906f,
0.01012f, 0.01122f, 0.01238f, 0.01359f,
0.01485f, 0.01616f, 0.01751f, 0.01890f,
0.02033f, 0.02180f, 0.02331f, 0.02485f,
0.02643f, 0.02804f, 0.02967f, 0.03134f,
0.03303f, 0.03475f, 0.03648f, 0.03824f,
0.04002f, 0.04181f, 0.04362f, 0.04545f,
0.04730f, 0.04916f, 0.05103f, 0.05292f,
0.05483f, 0.05675f, 0.05868f, 0.06063f,
0.06259f, 0.06457f, 0.06655f, 0.06856f,
0.07057f, 0.07259f, 0.07463f, 0.07668f,
0.07874f, 0.08081f, 0.08290f, 0.08499f,
0.08710f, 0.08921f, 0.09134f, 0.09348f,
0.09563f, 0.09779f, 0.09996f, 0.10214f,
0.10433f, 0.10652f, 0.10873f, 0.11095f,
0.11318f, 0.11541f, 0.11766f, 0.11991f,
0.12218f, 0.12445f, 0.12673f, 0.12902f,
0.13132f, 0.13363f, 0.13595f, 0.13827f,
0.14061f, 0.14295f, 0.14530f, 0.14765f,
0.15002f, 0.15239f, 0.15477f, 0.15716f,
0.15956f, 0.16197f, 0.16438f, 0.16680f,
0.16923f, 0.17166f, 0.17410f, 0.17655f,
0.17901f, 0.18148f, 0.18395f, 0.18643f,
0.18891f, 0.19141f, 0.19391f, 0.19641f,
0.19893f, 0.20145f, 0.20398f, 0.20651f,
0.20905f, 0.21160f, 0.21416f, 0.21672f,
0.21929f, 0.22185f, 0.22440f, 0.22696f,
0.22950f, 0.23204f, 0.23458f, 0.23711f,
0.23963f, 0.24215f, 0.24466f, 0.24717f,
0.24967f, 0.25216f, 0.25465f, 0.25713f,
0.25961f, 0.26208f, 0.26454f, 0.26700f,
0.26945f, 0.27189f, 0.27433f, 0.27676f,
0.27918f, 0.28160f, 0.28401f, 0.28641f,
0.28881f, 0.29120f, 0.29358f, 0.29596f,
0.29833f, 0.30069f, 0.30305f, 0.30540f,
0.30774f, 0.31008f, 0.31241f, 0.31473f,
0.31704f, 0.31935f, 0.32165f, 0.32395f,
0.32623f, 0.32851f, 0.33079f, 0.33305f,
0.33531f, 0.33756f, 0.33981f, 0.34205f,
0.34428f, 0.34650f, 0.34872f, 0.35093f,
0.35313f, 0.35532f, 0.35751f, 0.35969f,
0.36187f, 0.36404f, 0.36620f, 0.36835f,
0.37050f, 0.37264f, 0.37477f, 0.37689f,
0.37901f, 0.38112f, 0.38323f, 0.38533f,
0.38742f, 0.38950f, 0.39158f, 0.39365f,
0.39571f, 0.39777f, 0.39982f, 0.40186f,
0.40389f, 0.40592f, 0.40794f, 0.40996f,
0.41197f, 0.41397f, 0.41596f, 0.41795f,
0.41993f, 0.42191f, 0.42388f, 0.42584f,
0.42779f, 0.42974f, 0.43168f, 0.43362f,
0.43554f, 0.43747f, 0.43938f, 0.44129f,
0.44319f, 0.44509f, 0.44698f, 0.44886f,
0.45073f, 0.45260f, 0.45447f, 0.45632f,
0.45817f, 0.46002f, 0.46186f, 0.46369f,
0.46551f, 0.46733f, 0.46914f, 0.47095f,
0.47275f, 0.47454f, 0.47633f, 0.47811f,
0.47989f, 0.48166f, 0.48342f, 0.48518f,
0.48693f, 0.48867f, 0.49041f, 0.49214f,
0.49387f, 0.49559f, 0.49730f, 0.49901f,
0.50072f, 0.50241f, 0.50410f, 0.50579f,
0.50747f, 0.50914f, 0.51081f, 0.51247f,
0.51413f, 0.51578f, 0.51742f, 0.51906f,
0.52069f, 0.52232f, 0.52394f, 0.52556f,
0.52717f, 0.52878f, 0.53038f, 0.53197f,
0.53356f, 0.53514f, 0.53672f, 0.53829f,
0.53986f, 0.54142f, 0.54297f, 0.54452f,
0.54607f, 0.54761f, 0.54914f, 0.55067f,
0.55220f, 0.55371f, 0.55523f, 0.55673f,
0.55824f, 0.55973f, 0.56123f, 0.56271f,
0.56420f, 0.56567f, 0.56715f, 0.56861f,
0.57007f, 0.57153f, 0.57298f, 0.57443f,
0.57587f, 0.57731f, 0.57874f, 0.58017f,
0.58159f, 0.58301f, 0.58443f, 0.58583f,
0.58724f, 0.58864f, 0.59003f, 0.59142f,
0.59281f, 0.59419f, 0.59556f, 0.59694f,
0.59830f, 0.59966f, 0.60102f, 0.60238f,
0.60373f, 0.60507f, 0.60641f, 0.60775f,
0.60908f, 0.61040f, 0.61173f, 0.61305f,
0.61436f, 0.61567f, 0.61698f, 0.61828f,
0.61957f, 0.62087f, 0.62216f, 0.62344f,
0.62472f, 0.62600f, 0.62727f, 0.62854f,
0.62980f, 0.63106f, 0.63232f, 0.63357f,
0.63482f, 0.63606f, 0.63730f, 0.63854f,
0.63977f, 0.64100f, 0.64222f, 0.64344f,
0.64466f, 0.64587f, 0.64708f, 0.64829f,
0.64949f, 0.65069f, 0.65188f, 0.65307f,
0.65426f, 0.65544f, 0.65662f, 0.65779f,
0.65897f, 0.66013f, 0.66130f, 0.66246f,
0.66362f, 0.66477f, 0.66592f, 0.66707f,
0.66821f, 0.66935f, 0.67048f, 0.67162f,
0.67275f, 0.67387f, 0.67499f, 0.67611f,
0.67723f, 0.67834f, 0.67945f, 0.68055f,
0.68165f, 0.68275f, 0.68385f, 0.68494f,
0.68603f, 0.68711f, 0.68819f, 0.68927f,
0.69035f, 0.69142f, 0.69249f, 0.69355f,
0.69461f, 0.69567f, 0.69673f, 0.69778f,
0.69883f, 0.69988f, 0.70092f, 0.70196f,
0.70300f, 0.70403f, 0.70506f, 0.70609f,
0.70711f, 0.70813f, 0.70915f, 0.71017f,
0.71118f, 0.71219f, 0.71319f, 0.71420f,
0.71520f, 0.71620f, 0.71719f, 0.71818f,
0.71917f, 0.72016f, 0.72114f, 0.72212f,
0.72309f, 0.72407f, 0.72504f, 0.72601f,
0.72697f, 0.72794f, 0.72890f, 0.72985f,
0.73081f, 0.73176f, 0.73271f, 0.73365f,
0.73460f, 0.73554f, 0.73647f, 0.73741f,
0.73834f, 0.73927f, 0.74020f, 0.74112f,
0.74204f, 0.74296f, 0.74388f, 0.74479f,
0.74570f, 0.74661f, 0.74751f, 0.74842f,
0.74932f, 0.75021f, 0.75111f, 0.75200f,
0.75289f, 0.75378f, 0.75466f, 0.75555f,
0.75643f, 0.75730f, 0.75818f, 0.75905f,
0.75992f, 0.76079f, 0.76165f, 0.76251f,
0.76337f, 0.76423f, 0.76508f, 0.76594f,
0.76679f, 0.76763f, 0.76848f, 0.76932f,
0.77016f, 0.77100f, 0.77183f, 0.77267f,
0.77350f, 0.77432f, 0.77515f, 0.77597f,
0.77680f, 0.77761f, 0.77843f, 0.77924f,
0.78006f, 0.78087f, 0.78167f, 0.78248f,
0.78328f, 0.78408f, 0.78488f, 0.78568f,
0.78647f, 0.78726f, 0.78805f, 0.78884f,
0.78962f, 0.79040f, 0.79118f, 0.79196f,
0.79274f, 0.79351f, 0.79428f, 0.79505f,
0.79582f, 0.79658f, 0.79735f, 0.79811f,
0.79887f, 0.79962f, 0.80038f, 0.80113f,
0.80188f, 0.80263f, 0.80337f, 0.80412f,
0.80486f, 0.80560f, 0.80634f, 0.80707f,
0.80780f, 0.80854f, 0.80926f, 0.80999f,
0.81072f, 0.81144f, 0.81216f, 0.81288f,
0.81360f, 0.81431f, 0.81503f, 0.81574f,
0.81645f, 0.81715f, 0.81786f, 0.81856f,
0.81926f, 0.81996f, 0.82066f, 0.82135f,
0.82205f, 0.82274f, 0.82343f, 0.82412f,
0.82480f, 0.82549f, 0.82617f, 0.82685f,
0.82753f, 0.82820f, 0.82888f, 0.82955f,
0.83022f, 0.83089f, 0.83155f, 0.83222f,
0.83288f, 0.83354f, 0.83420f, 0.83486f,
0.83552f, 0.83617f, 0.83682f, 0.83747f,
0.83812f, 0.83877f, 0.83941f, 0.84005f,
0.84069f, 0.84133f, 0.84197f, 0.84261f,
0.84324f, 0.84387f, 0.84450f, 0.84513f,
0.84576f, 0.84639f, 0.84701f, 0.84763f,
0.84825f, 0.84887f, 0.84949f, 0.85010f,
0.85071f, 0.85132f, 0.85193f, 0.85254f,
0.85315f, 0.85375f, 0.85436f, 0.85496f,
0.85556f, 0.85615f, 0.85675f, 0.85735f,
0.85794f, 0.85853f, 0.85912f, 0.85971f,
0.86029f, 0.86088f, 0.86146f, 0.86204f,
0.86262f, 0.86320f, 0.86378f, 0.86435f,
0.86493f, 0.86550f, 0.86607f, 0.86664f,
0.86720f, 0.86777f, 0.86833f, 0.86889f,
0.86945f, 0.87001f, 0.87057f, 0.87113f,
0.87168f, 0.87223f, 0.87278f, 0.87333f,
0.87388f, 0.87443f, 0.87497f, 0.87552f,
0.87606f, 0.87660f, 0.87714f, 0.87768f,
0.87821f, 0.87875f, 0.87928f, 0.87981f,
0.88034f, 0.88087f, 0.88140f, 0.88192f,
0.88244f, 0.88297f, 0.88349f, 0.88401f,
0.88453f, 0.88504f, 0.88556f, 0.88607f,
0.88658f, 0.88709f, 0.88760f, 0.88811f,
0.88862f, 0.88912f, 0.88963f, 0.89013f,
0.89063f, 0.89113f, 0.89163f, 0.89212f,
0.89262f, 0.89311f, 0.89360f, 0.89409f,
0.89458f, 0.89507f, 0.89556f, 0.89604f,
0.89653f, 0.89701f, 0.89749f, 0.89797f,
0.89845f, 0.89892f, 0.89940f, 0.89987f,
0.90035f, 0.90082f, 0.90129f, 0.90176f,
0.90222f, 0.90269f, 0.90316f, 0.90362f,
0.90408f, 0.90454f, 0.90500f, 0.90546f,
0.90592f, 0.90637f, 0.90683f, 0.90728f,
0.90773f, 0.90818f, 0.90863f, 0.90908f,
0.90952f, 0.90997f, 0.91041f, 0.91085f,
0.91130f, 0.91173f, 0.91217f, 0.91261f,
0.91305f, 0.91348f, 0.91392f, 0.91435f,
0.91478f, 0.91521f, 0.91564f, 0.91606f,
0.91649f, 0.91691f, 0.91734f, 0.91776f,
0.91818f, 0.91860f, 0.91902f, 0.91944f,
0.91985f, 0.92027f, 0.92068f, 0.92109f,
0.92150f, 0.92191f, 0.92232f, 0.92273f,
0.92314f, 0.92354f, 0.92395f, 0.92435f,
0.92475f, 0.92515f, 0.92555f, 0.92595f,
0.92634f, 0.92674f, 0.92713f, 0.92753f,
0.92792f, 0.92831f, 0.92870f, 0.92909f,
0.92947f, 0.92986f, 0.93025f, 0.93063f,
0.93101f, 0.93139f, 0.93177f, 0.93215f,
0.93253f, 0.93291f, 0.93328f, 0.93366f,
0.93403f, 0.93440f, 0.93478f, 0.93515f,
0.93551f, 0.93588f, 0.93625f, 0.93661f,
0.93698f, 0.93734f, 0.93770f, 0.93807f,
0.93843f, 0.93878f, 0.93914f, 0.93950f,
0.93986f, 0.94021f, 0.94056f, 0.94092f,
0.94127f, 0.94162f, 0.94197f, 0.94231f,
0.94266f, 0.94301f, 0.94335f, 0.94369f,
0.94404f, 0.94438f, 0.94472f, 0.94506f,
0.94540f, 0.94573f, 0.94607f, 0.94641f,
0.94674f, 0.94707f, 0.94740f, 0.94774f,
0.94807f, 0.94839f, 0.94872f, 0.94905f,
0.94937f, 0.94970f, 0.95002f, 0.95035f,
0.95067f, 0.95099f, 0.95131f, 0.95163f,
0.95194f, 0.95226f, 0.95257f, 0.95289f,
0.95320f, 0.95351f, 0.95383f, 0.95414f,
0.95445f, 0.95475f, 0.95506f, 0.95537f,
0.95567f, 0.95598f, 0.95628f, 0.95658f,
0.95688f, 0.95718f, 0.95748f, 0.95778f,
0.95808f, 0.95838f, 0.95867f, 0.95897f,
0.95926f, 0.95955f, 0.95984f, 0.96013f,
0.96042f, 0.96071f, 0.96100f, 0.96129f,
0.96157f, 0.96186f, 0.96214f, 0.96242f,
0.96271f, 0.96299f, 0.96327f, 0.96355f,
0.96382f, 0.96410f, 0.96438f, 0.96465f,
0.96493f, 0.96520f, 0.96547f, 0.96574f,
0.96602f, 0.96629f, 0.96655f, 0.96682f,
0.96709f, 0.96735f, 0.96762f, 0.96788f,
0.96815f, 0.96841f, 0.96867f, 0.96893f,
0.96919f, 0.96945f, 0.96971f, 0.96996f,
0.97022f, 0.97047f, 0.97073f, 0.97098f,
0.97123f, 0.97149f, 0.97174f, 0.97199f,
0.97223f, 0.97248f, 0.97273f, 0.97297f,
0.97322f, 0.97346f, 0.97371f, 0.97395f,
0.97419f, 0.97443f, 0.97467f, 0.97491f,
0.97515f, 0.97539f, 0.97562f, 0.97586f,
0.97609f, 0.97633f, 0.97656f, 0.97679f,
0.97702f, 0.97725f, 0.97748f, 0.97771f,
0.97794f, 0.97817f, 0.97839f, 0.97862f,
0.97884f, 0.97907f, 0.97929f, 0.97951f,
0.97973f, 0.97995f, 0.98017f, 0.98039f,
0.98061f, 0.98082f, 0.98104f, 0.98125f,
0.98147f, 0.98168f, 0.98189f, 0.98211f,
0.98232f, 0.98253f, 0.98274f, 0.98295f,
0.98315f, 0.98336f, 0.98357f, 0.98377f,
0.98398f, 0.98418f, 0.98438f, 0.98458f,
0.98478f, 0.98498f, 0.98518f, 0.98538f,
0.98558f, 0.98578f, 0.98597f, 0.98617f,
0.98636f, 0.98656f, 0.98675f, 0.98694f,
0.98714f, 0.98733f, 0.98752f, 0.98771f,
0.98789f, 0.98808f, 0.98827f, 0.98845f,
0.98864f, 0.98882f, 0.98901f, 0.98919f,
0.98937f, 0.98955f, 0.98973f, 0.98991f,
0.99009f, 0.99027f, 0.99045f, 0.99063f,
0.99080f, 0.99098f, 0.99115f, 0.99133f,
0.99150f, 0.99167f, 0.99184f, 0.99201f,
0.99218f, 0.99235f, 0.99252f, 0.99269f,
0.99285f, 0.99302f, 0.99319f, 0.99335f,
0.99351f, 0.99368f, 0.99384f, 0.99400f,
0.99416f, 0.99432f, 0.99448f, 0.99464f,
0.99480f, 0.99495f, 0.99511f, 0.99527f,
0.99542f, 0.99558f, 0.99573f, 0.99588f,
0.99603f, 0.99619f, 0.99634f, 0.99649f,
0.99664f, 0.99678f, 0.99693f, 0.99708f,
0.99722f, 0.99737f, 0.99751f, 0.99766f,
0.99780f, 0.99794f, 0.99809f, 0.99823f,
0.99837f, 0.99851f, 0.99865f, 0.99879f,
0.99892f, 0.99906f, 0.99920f, 0.99933f,
0.99947f, 0.99960f, 0.99974f, 0.99987f,
1.00000f
};
const std::unique_ptr<std::FILE, std::function<void(std::FILE *)>> file(
g_fopen(filename.c_str(), "rb"),
[](std::FILE *file) {
std::fclose(file);
});
if (file == nullptr) {
if (settings->verbose) {
printf ("Unable to load DCP profile '%s' !\n", filename.c_str());
}
return;
}
DCPMetadata md(file.get());
if (!md.parse()) {
if (settings->verbose) {
printf ("Unable to load DCP profile '%s'.\n", filename.c_str());
}
return;
}
light_source_1 =
md.find(TAG_KEY_CALIBRATION_ILLUMINANT_1)
? md.toShort(TAG_KEY_CALIBRATION_ILLUMINANT_1)
: -1;
light_source_2 =
md.find(TAG_KEY_CALIBRATION_ILLUMINANT_2)
? md.toShort(TAG_KEY_CALIBRATION_ILLUMINANT_2)
: -1;
temperature_1 = calibrationIlluminantToTemperature(light_source_1);
temperature_2 = calibrationIlluminantToTemperature(light_source_2);
const bool has_second_hue_sat = md.find(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_2); // Some profiles have two matrices, but just one huesat
// Fetch Forward Matrices, if any
has_forward_matrix_1 = md.find(TAG_KEY_FORWARD_MATRIX_1);
if (has_forward_matrix_1) {
for (int row = 0; row < 3; ++row) {
for (int col = 0; col < 3; ++col) {
forward_matrix_1[row][col] = md.toDouble(TAG_KEY_FORWARD_MATRIX_1, (col + row * 3) * 8);
}
}
}
has_forward_matrix_2 = md.find(TAG_KEY_FORWARD_MATRIX_2);
if (has_forward_matrix_2) {
for (int row = 0; row < 3; ++row) {
for (int col = 0; col < 3; ++col) {
forward_matrix_2[row][col] = md.toDouble(TAG_KEY_FORWARD_MATRIX_2, (col + row * 3) * 8);
}
}
}
// Color Matrix (one is always there)
if (!md.find(TAG_KEY_COLOR_MATRIX_1)) {
if (settings->verbose) {
std::cerr << "DCP '" << filename.c_str() << "' is missing 'ColorMatrix1'. Skipped." << std::endl;
}
return;
}
has_color_matrix_1 = true;
for (int row = 0; row < 3; ++row) {
for (int col = 0; col < 3; ++col) {
color_matrix_1[row][col] = md.toDouble(TAG_KEY_COLOR_MATRIX_1, (col + row * 3) * 8);
}
}
if (md.find(TAG_KEY_PROFILE_LOOK_TABLE_DIMS)) {
look_info.hue_divisions = md.toInt(TAG_KEY_PROFILE_LOOK_TABLE_DIMS, 0);
look_info.sat_divisions = md.toInt(TAG_KEY_PROFILE_LOOK_TABLE_DIMS, 4);
look_info.val_divisions = md.toInt(TAG_KEY_PROFILE_LOOK_TABLE_DIMS, 8);
look_info.srgb_gamma = md.find(TAG_KEY_PROFILE_LOOK_TABLE_ENCODING) && md.toInt(TAG_KEY_PROFILE_LOOK_TABLE_ENCODING);
look_info.array_count = md.getCount(TAG_KEY_PROFILE_LOOK_TABLE_DATA) / 3;
look_table.resize(look_info.array_count);
for (unsigned int i = 0; i < look_info.array_count; i++) {
look_table[i].hue_shift = md.toDouble(TAG_KEY_PROFILE_LOOK_TABLE_DATA, (i * 3) * tiff_float_size);
look_table[i].sat_scale = md.toDouble(TAG_KEY_PROFILE_LOOK_TABLE_DATA, (i * 3 + 1) * tiff_float_size);
look_table[i].val_scale = md.toDouble(TAG_KEY_PROFILE_LOOK_TABLE_DATA, (i * 3 + 2) * tiff_float_size);
}
// Precalculated constants for table application
look_info.pc.h_scale =
look_info.hue_divisions < 2
? 0.0f
: static_cast<float>(look_info.hue_divisions) / 6.0f;
look_info.pc.s_scale = look_info.sat_divisions - 1;
look_info.pc.v_scale = look_info.val_divisions - 1;
look_info.pc.max_hue_index0 = look_info.hue_divisions - 1;
look_info.pc.max_sat_index0 = look_info.sat_divisions - 2;
look_info.pc.max_val_index0 = look_info.val_divisions - 2;
look_info.pc.hue_step = look_info.sat_divisions;
look_info.pc.val_step = look_info.hue_divisions * look_info.pc.hue_step;
}
if (md.find(TAG_KEY_PROFILE_HUE_SAT_MAP_DIMS)) {
delta_info.hue_divisions = md.toInt(TAG_KEY_PROFILE_HUE_SAT_MAP_DIMS, 0);
delta_info.sat_divisions = md.toInt(TAG_KEY_PROFILE_HUE_SAT_MAP_DIMS, 4);
delta_info.val_divisions = md.toInt(TAG_KEY_PROFILE_HUE_SAT_MAP_DIMS, 8);
delta_info.srgb_gamma = md.find(TAG_KEY_PROFILE_HUE_SAT_MAP_ENCODING) && md.toInt(TAG_KEY_PROFILE_HUE_SAT_MAP_ENCODING);
delta_info.array_count = md.getCount(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_1) / 3;
deltas_1.resize(delta_info.array_count);
for (unsigned int i = 0; i < delta_info.array_count; ++i) {
deltas_1[i].hue_shift = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_1, (i * 3) * tiff_float_size);
deltas_1[i].sat_scale = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_1, (i * 3 + 1) * tiff_float_size);
deltas_1[i].val_scale = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_1, (i * 3 + 2) * tiff_float_size);
}
delta_info.pc.h_scale =
delta_info.hue_divisions < 2
? 0.0f
: static_cast<float>(delta_info.hue_divisions) / 6.0f;
delta_info.pc.s_scale = delta_info.sat_divisions - 1;
delta_info.pc.v_scale = delta_info.val_divisions - 1;
delta_info.pc.max_hue_index0 = delta_info.hue_divisions - 1;
delta_info.pc.max_sat_index0 = delta_info.sat_divisions - 2;
delta_info.pc.max_val_index0 = delta_info.val_divisions - 2;
delta_info.pc.hue_step = delta_info.sat_divisions;
delta_info.pc.val_step = delta_info.hue_divisions * delta_info.pc.hue_step;
}
if (light_source_2 != -1) {
// Second matrix
has_color_matrix_2 = true;
const bool cm2 = md.find(TAG_KEY_COLOR_MATRIX_2);
for (int row = 0; row < 3; ++row) {
for (int col = 0; col < 3; ++col) {
color_matrix_2[row][col] =
cm2
? md.toDouble(TAG_KEY_COLOR_MATRIX_2, (col + row * 3) * 8)
: color_matrix_1[row][col];
}
}
// Second huesatmap
if (has_second_hue_sat) {
deltas_2.resize(delta_info.array_count);
// Saturation maps. Need to be unwinded.
for (unsigned int i = 0; i < delta_info.array_count; ++i) {
deltas_2[i].hue_shift = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_2, (i * 3) * tiff_float_size);
deltas_2[i].sat_scale = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_2, (i * 3 + 1) * tiff_float_size);
deltas_2[i].val_scale = md.toDouble(TAG_KEY_PROFILE_HUE_SAT_MAP_DATA_2, (i * 3 + 2) * tiff_float_size);
}
}
}
has_baseline_exposure_offset = md.find(TAG_KEY_BASELINE_EXPOSURE_OFFSET);
if (has_baseline_exposure_offset) {
baseline_exposure_offset = md.toDouble(TAG_KEY_BASELINE_EXPOSURE_OFFSET);
}
// Read tone curve points, if any, but disable to RTs own profiles
if (md.find(TAG_KEY_PROFILE_TONE_CURVE)) {
std::vector<double> curve_points = {
static_cast<double>(DCT_Spline) // The first value is the curve type
};
// Push back each X/Y coordinates in a loop
bool curve_is_linear = true;
for (unsigned int i = 0, n = md.getCount(TAG_KEY_PROFILE_TONE_CURVE); i < n; i += 2) {
const double x = md.toDouble(TAG_KEY_PROFILE_TONE_CURVE, (i + 0) * tiff_float_size);
const double y = md.toDouble(TAG_KEY_PROFILE_TONE_CURVE, (i + 1) * tiff_float_size);
if (x != y) {
curve_is_linear = false;
}
curve_points.push_back(x);
curve_points.push_back(y);
}
if (!curve_is_linear) {
// Create the curve
has_tone_curve = true;
tone_curve.Set(DiagonalCurve(curve_points, CURVES_MIN_POLY_POINTS));
}
} else {
if (md.find(TAG_KEY_PROFILE_TONE_COPYRIGHT) && md.toString(TAG_KEY_PROFILE_TONE_COPYRIGHT).find("Adobe Systems") != std::string::npos) {
// An Adobe profile without tone curve is expected to have the Adobe Default Curve, we add that
std::vector<double> curve_points = {
static_cast<double>(DCT_Spline)
};
constexpr size_t tc_len = sizeof(adobe_camera_raw_default_curve) / sizeof(adobe_camera_raw_default_curve[0]);
for (size_t i = 0; i < tc_len; ++i) {
const double x = static_cast<double>(i) / (tc_len - 1);
const double y = adobe_camera_raw_default_curve[i];
curve_points.push_back(x);
curve_points.push_back(y);
}
has_tone_curve = true;
tone_curve.Set(DiagonalCurve(curve_points, CURVES_MIN_POLY_POINTS));
}
}
will_interpolate = false;
if (has_forward_matrix_1) {
if (has_forward_matrix_2) {
if (forward_matrix_1 != forward_matrix_2) {
// Common that forward matrices are the same!
will_interpolate = true;
}
if (!deltas_1.empty() && !deltas_2.empty()) {
// We assume tables are different
will_interpolate = true;
}
}
}
if (has_color_matrix_1 && has_color_matrix_2) {
if (color_matrix_1 != color_matrix_2) {
will_interpolate = true;
}
if (!deltas_1.empty() && !deltas_2.empty()) {
will_interpolate = true;
}
}
valid = true;
}
DCPProfile::~DCPProfile() = default;
DCPProfile::operator bool() const
{
return has_color_matrix_1;
}
bool DCPProfile::getHasToneCurve() const
{
return has_tone_curve;
}
bool DCPProfile::getHasLookTable() const
{
return !look_table.empty();
}
bool DCPProfile::getHasHueSatMap() const
{
return !deltas_1.empty();
}
bool DCPProfile::getHasBaselineExposureOffset() const
{
return has_baseline_exposure_offset;
}
DCPProfile::Illuminants DCPProfile::getIlluminants() const
{
return {
light_source_1,
light_source_2,
temperature_1,
temperature_2,
will_interpolate
};
}
void DCPProfile::apply(
Imagefloat* img,
int preferred_illuminant,
const Glib::ustring& working_space,
const ColorTemp& white_balance,
const Triple& pre_mul,
const Matrix& cam_wb_matrix,
bool apply_hue_sat_map
) const
{
const TMatrix work_matrix = ICCStore::getInstance()->workingSpaceInverseMatrix(working_space);
const Matrix xyz_cam = makeXyzCam(white_balance, pre_mul, cam_wb_matrix, preferred_illuminant); // Camera RGB to XYZ D50 matrix
const std::vector<HsbModify> delta_base = makeHueSatMap(white_balance, preferred_illuminant);
if (delta_base.empty()) {
apply_hue_sat_map = false;
}
if (!apply_hue_sat_map) {
// The fast path: No LUT --> Calculate matrix for direct conversion raw -> working space
float mat[3][3] = {};
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
double temp = 0.0;
for (int k = 0; k < 3; ++k) {
temp += work_matrix[i][k] * xyz_cam[k][j];
}
mat[i][j] = temp;
}
}
// Apply the matrix part
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < img->getHeight(); ++y) {
for (int x = 0; x < img->getWidth(); x++) {
const float& newr = mat[0][0] * img->r(y, x) + mat[0][1] * img->g(y, x) + mat[0][2] * img->b(y, x);
const float& newg = mat[1][0] * img->r(y, x) + mat[1][1] * img->g(y, x) + mat[1][2] * img->b(y, x);
const float& newb = mat[2][0] * img->r(y, x) + mat[2][1] * img->g(y, x) + mat[2][2] * img->b(y, x);
img->r(y, x) = newr;
img->g(y, x) = newg;
img->b(y, x) = newb;
}
}
} else {
// LUT available --> Calculate matrix for conversion raw>ProPhoto
float pro_photo[3][3] = {};
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
double temp = 0.0;
for (int k = 0; k < 3; ++k) {
temp += prophoto_xyz[i][k] * xyz_cam[k][j];
}
pro_photo[i][j] = temp;
}
}
float work[3][3] = {};
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
double temp = 0.0;
for (int k = 0; k < 3; ++k) {
temp += work_matrix[i][k] * xyz_prophoto[k][j];
}
work[i][j] = temp;
}
}
// Convert to ProPhoto and apply LUT
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic,16)
#endif
for (int y = 0; y < img->getHeight(); ++y) {
for (int x = 0; x < img->getWidth(); x++) {
float newr = pro_photo[0][0] * img->r(y, x) + pro_photo[0][1] * img->g(y, x) + pro_photo[0][2] * img->b(y, x);
float newg = pro_photo[1][0] * img->r(y, x) + pro_photo[1][1] * img->g(y, x) + pro_photo[1][2] * img->b(y, x);
float newb = pro_photo[2][0] * img->r(y, x) + pro_photo[2][1] * img->g(y, x) + pro_photo[2][2] * img->b(y, x);
// If point is in negative area, just the matrix, but not the LUT. This is checked inside Color::rgb2hsvdcp
float h;
float s;
float v;
if (LIKELY(Color::rgb2hsvdcp(newr, newg, newb, h , s, v))) {
hsdApply(delta_info, delta_base, h, s, v);
// RT range correction
if (h < 0.0f) {
h += 6.0f;
} else if (h >= 6.0f) {
h -= 6.0f;
}
Color::hsv2rgbdcp(h, s, v, newr, newg, newb);
}
img->r(y, x) = work[0][0] * newr + work[0][1] * newg + work[0][2] * newb;
img->g(y, x) = work[1][0] * newr + work[1][1] * newg + work[1][2] * newb;
img->b(y, x) = work[2][0] * newr + work[2][1] * newg + work[2][2] * newb;
}
}
}
}
void DCPProfile::setStep2ApplyState(const Glib::ustring& working_space, bool use_tone_curve, bool apply_look_table, bool apply_baseline_exposure, DCPProfileApplyState& as_out)
{
as_out.data->use_tone_curve = use_tone_curve;
as_out.data->apply_look_table = apply_look_table;
as_out.data->bl_scale = 1.0;
if (look_table.empty()) {
as_out.data->apply_look_table = false;
}
if (!has_tone_curve) {
as_out.data->use_tone_curve = false;
}
if (has_baseline_exposure_offset && apply_baseline_exposure) {
as_out.data->bl_scale = powf(2, baseline_exposure_offset);
}
if (working_space == "ProPhoto") {
as_out.data->already_pro_photo = true;
} else {
as_out.data->already_pro_photo = false;
TMatrix mWork;
mWork = ICCStore::getInstance()->workingSpaceMatrix (working_space);
memset(as_out.data->pro_photo, 0, sizeof(as_out.data->pro_photo));
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 3; j++) {
double temp = 0.0;
for (int k = 0; k < 3; k++) {
temp += prophoto_xyz[i][k] * mWork[k][j];
}
as_out.data->pro_photo[i][j] = temp;
}
}
mWork = ICCStore::getInstance()->workingSpaceInverseMatrix (working_space);
memset(as_out.data->work, 0, sizeof(as_out.data->work));
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 3; j++) {
double temp = 0.0;
for (int k = 0; k < 3; k++) {
temp += mWork[i][k] * xyz_prophoto[k][j];
}
as_out.data->work[i][j] = temp;
}
}
}
}
void DCPProfile::step2ApplyTile(float* rc, float* gc, float* bc, int width, int height, int tile_width, const DCPProfileApplyState& as_in) const
{
#define FCLIP(a) ((a)>0.f?((a)<65535.5f?(a):65535.5f):0.f)
#define CLIP01(a) ((a)>0?((a)<1?(a):1):0)
float exp_scale = as_in.data->bl_scale;
if (!as_in.data->use_tone_curve && !as_in.data->apply_look_table) {
if (exp_scale == 1.f) {
return;
}
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
rc[y * tile_width + x] *= exp_scale;
gc[y * tile_width + x] *= exp_scale;
bc[y * tile_width + x] *= exp_scale;
}
}
} else {
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
float r = rc[y * tile_width + x];
float g = gc[y * tile_width + x];
float b = bc[y * tile_width + x];
r *= exp_scale;
g *= exp_scale;
b *= exp_scale;
float newr, newg, newb;
if (as_in.data->already_pro_photo) {
newr = r;
newg = g;
newb = b;
} else {
newr = as_in.data->pro_photo[0][0] * r + as_in.data->pro_photo[0][1] * g + as_in.data->pro_photo[0][2] * b;
newg = as_in.data->pro_photo[1][0] * r + as_in.data->pro_photo[1][1] * g + as_in.data->pro_photo[1][2] * b;
newb = as_in.data->pro_photo[2][0] * r + as_in.data->pro_photo[2][1] * g + as_in.data->pro_photo[2][2] * b;
}
// with looktable and tonecurve we need to clip
if (as_in.data->apply_look_table || as_in.data->use_tone_curve) {
newr = max(newr, 0.f);
newg = max(newg, 0.f);
newb = max(newb, 0.f);
}
// newr = FCLIP(newr);
// newg = FCLIP(newg);
// newb = FCLIP(newb);
if (as_in.data->apply_look_table) {
float cnewr = FCLIP(newr);
float cnewg = FCLIP(newg);
float cnewb = FCLIP(newb);
float h, s, v;
Color::rgb2hsvtc(cnewr, cnewg, cnewb, h, s, v);
hsdApply(look_info, look_table, h, s, v);
s = CLIP01(s);
v = CLIP01(v);
// RT range correction
if (h < 0.0f) {
h += 6.0f;
} else if (h >= 6.0f) {
h -= 6.0f;
}
Color::hsv2rgbdcp( h, s, v, cnewr, cnewg, cnewb);
setUnlessOOG(newr, newg, newb, cnewr, cnewg, cnewb);
}
if (as_in.data->use_tone_curve) {
tone_curve.Apply(newr, newg, newb);
}
if (as_in.data->already_pro_photo) {
rc[y * tile_width + x] = newr;
gc[y * tile_width + x] = newg;
bc[y * tile_width + x] = newb;
} else {
rc[y * tile_width + x] = as_in.data->work[0][0] * newr + as_in.data->work[0][1] * newg + as_in.data->work[0][2] * newb;
gc[y * tile_width + x] = as_in.data->work[1][0] * newr + as_in.data->work[1][1] * newg + as_in.data->work[1][2] * newb;
bc[y * tile_width + x] = as_in.data->work[2][0] * newr + as_in.data->work[2][1] * newg + as_in.data->work[2][2] * newb;
}
}
}
}
}
DCPProfile::Matrix DCPProfile::findXyztoCamera(const std::array<double, 2>& white_xy, int preferred_illuminant) const
{
bool has_col_1 = has_color_matrix_1;
bool has_col_2 = has_color_matrix_2;
if (preferred_illuminant == 1) {
if (has_col_1) {
has_col_2 = false;
}
} else if (preferred_illuminant == 2) {
if (has_col_2) {
has_col_1 = false;
}
}
// Mix if we have two matrices
if (has_col_1 && has_col_2) {
/*
Note: We're using DNG SDK reference code for XY to temperature translation to get the exact same mix as
the reference code does.
*/
const double wbtemp = xyCoordToTemperature(white_xy);
double mix;
if (wbtemp <= temperature_1) {
mix = 1.0;
} else if (wbtemp >= temperature_2) {
mix = 0.0;
} else {
const double invT = 1.0 / wbtemp;
mix = (invT - (1.0 / temperature_2)) / ((1.0 / temperature_1) - (1.0 / temperature_2));
}
// Interpolate
if (mix >= 1.0) {
return color_matrix_1;
} else if (mix <= 0.0) {
return color_matrix_2;
} else {
return mix3x3(color_matrix_1, mix, color_matrix_2, 1.0 - mix);
}
} else if (has_col_1) {
return color_matrix_1;
} else {
return color_matrix_2;
}
}
std::array<double, 2> DCPProfile::neutralToXy(const Triple& neutral, int preferred_illuminant) const
{
enum {
MAX_PASSES = 30
};
std::array<double, 2> last_xy = {0.3457, 0.3585}; // D50
for (unsigned int pass = 0; pass < MAX_PASSES; ++pass) {
const Matrix& xyz_to_camera = findXyztoCamera(last_xy, preferred_illuminant);
const Matrix& inv_m = invert3x3(xyz_to_camera);
const Triple& next_xyz = multiply3x3_v3(inv_m, neutral);
std::array<double, 2> next_xy = xyzToXy(next_xyz);
if (std::fabs(next_xy[0] - last_xy[0]) + std::fabs(next_xy[1] - last_xy[1]) < 0.0000001) {
return next_xy;
}
// If we reach the limit without converging, we are most likely
// in a two value oscillation. So take the average of the last
// two estimates and give up.
if (pass == MAX_PASSES - 1) {
next_xy[0] = (last_xy[0] + next_xy[0]) * 0.5;
next_xy[1] = (last_xy[1] + next_xy[1]) * 0.5;
}
last_xy = next_xy;
}
return last_xy;
}
DCPProfile::Matrix DCPProfile::makeXyzCam(const ColorTemp& white_balance, const Triple& pre_mul, const Matrix& cam_wb_matrix, int preferred_illuminant) const
{
// Code adapted from dng_color_spec::FindXYZtoCamera.
// Note that we do not support monochrome or colorplanes > 3 (no reductionMatrix support),
// we do not support cameracalibration either.
Triple neutral; // Same as the DNG "AsShotNeutral" tag if white balance is Camera's own
{
/* A bit messy matrixing and conversions to get the neutral[] array from RT's own white balance which is stored in
sRGB space, while the DCP code needs multipliers in CameraRGB space */
double r, g, b;
white_balance.getMultipliers(r, g, b);
constexpr Matrix xyz_srgb = {
{
{xyz_sRGB[0][0], xyz_sRGB[0][1], xyz_sRGB[0][2]},
{xyz_sRGB[1][0], xyz_sRGB[1][1], xyz_sRGB[1][2]},
{xyz_sRGB[2][0], xyz_sRGB[2][1], xyz_sRGB[2][2]}
}
};
const Matrix cam_rgb = multiply3x3(invert3x3(cam_wb_matrix), xyz_srgb);
double camwb_red = cam_rgb[0][0] * r + cam_rgb[0][1] * g + cam_rgb[0][2] * b;
double camwb_green = cam_rgb[1][0] * r + cam_rgb[1][1] * g + cam_rgb[1][2] * b;
double camwb_blue = cam_rgb[2][0] * r + cam_rgb[2][1] * g + cam_rgb[2][2] * b;
neutral[0] = camwb_red / pre_mul[0];
neutral[1] = camwb_green / pre_mul[1];
neutral[2] = camwb_blue / pre_mul[2];
const double maxentry = std::max({neutral[0], neutral[1], neutral[2]});
for (int i = 0; i < 3; ++i) {
neutral[i] /= maxentry;
}
}
/* Calculate what the RGB multipliers corresponds to as a white XY coordinate, based on the
DCP ColorMatrix or ColorMatrices if dual-illuminant. This is the DNG reference code way to
do it, which is a bit different from RT's own white balance model at the time of writing.
When RT's white balance can make use of the DCP color matrices we could use that instead. */
const std::array<double, 2> white_xy = neutralToXy(neutral, preferred_illuminant);
bool has_fwd_1 = has_forward_matrix_1;
bool has_fwd_2 = has_forward_matrix_2;
bool has_col_1 = has_color_matrix_1;
bool has_col_2 = has_color_matrix_2;
if (preferred_illuminant == 1) {
if (has_fwd_1) {
has_fwd_2 = false;
}
if (has_col_1) {
has_col_2 = false;
}
} else if (preferred_illuminant == 2) {
if (has_fwd_2) {
has_fwd_1 = false;
}
if (has_col_2) {
has_col_1 = false;
}
}
// Mix if we have two matrices
double mix = 1.0;
if ((has_col_1 && has_col_2) || (has_fwd_1 && has_fwd_2)) {
/* DNG ref way to convert XY to temperature, which affect matrix mixing. A different model here
typically does not affect the result too much, ie it's probably not strictly necessary to
use the DNG reference code here, but we do it for now. */
const double wbtemp = xyCoordToTemperature(white_xy);
if (wbtemp <= temperature_1) {
mix = 1.0;
} else if (wbtemp >= temperature_2) {
mix = 0.0;
} else {
const double& invT = 1.0 / wbtemp;
mix = (invT - (1.0 / temperature_2)) / ((1.0 / temperature_1) - (1.0 / temperature_2));
}
}
// Colormatrix
Matrix color_matrix;
if (has_col_1 && has_col_2) {
// interpolate
if (mix >= 1.0) {
color_matrix = color_matrix_1;
} else if (mix <= 0.0) {
color_matrix = color_matrix_2;
} else {
color_matrix = mix3x3(color_matrix_1, mix, color_matrix_2, 1.0 - mix);
}
} else if (has_col_1) {
color_matrix = color_matrix_1;
} else {
color_matrix = color_matrix_2;
}
/*
The exact position of the white XY coordinate affects the result very much, thus
it's important that the result is very similar or the same as DNG reference code.
Especially important is it that the raw-embedded "AsShot" multipliers is translated
to the same white XY coordinate as the DNG reference code, or else third party DCPs
will show incorrect color.
*/
const Triple white_xyz = xyToXyz(white_xy);
Matrix cam_xyz;
if (has_fwd_1 || has_fwd_2) {
// Always prefer ForwardMatrix to ColorMatrix
Matrix fwd;
if (has_fwd_1 && has_fwd_2) {
// Interpolate
if (mix >= 1.0) {
fwd = forward_matrix_1;
} else if (mix <= 0.0) {
fwd = forward_matrix_2;
} else {
fwd = mix3x3(forward_matrix_1, mix, forward_matrix_2, 1.0 - mix);
}
} else if (has_fwd_1) {
fwd = forward_matrix_1;
} else {
fwd = forward_matrix_2;
}
// adapted from dng_color_spec::SetWhiteXY
const Triple camera_white = multiply3x3_v3(color_matrix, white_xyz);
const Matrix white_diag = {
{
{camera_white[0], 0, 0},
{0, camera_white[1], 0},
{0, 0, camera_white[2]}
}
};
cam_xyz = invert3x3(multiply3x3(fwd, invert3x3(white_diag)));
} else {
constexpr Triple white_d50 = {0.3457, 0.3585, 0.2958}; // D50
cam_xyz = multiply3x3(color_matrix, mapWhiteMatrix(white_d50, white_xyz));
}
// Convert cam_xyz (XYZ D50 to CameraRGB, "PCS to Camera" in DNG terminology) to mXYZCAM
// This block can probably be simplified, seems unnecessary to pass through the sRGB matrix
// (probably dcraw legacy), it does no harm though as we don't clip anything.
int i, j, k;
// Multiply out XYZ colorspace
double cam_rgb[3][3] = {};
for (i = 0; i < 3; ++i) {
for (j = 0; j < 3; ++j) {
for (k = 0; k < 3; ++k) {
cam_rgb[i][j] += cam_xyz[i][k] * xyz_sRGB[k][j];
}
}
}
// Normalize cam_rgb so that cam_rgb * (1,1,1) is (1,1,1,1)
double num;
for (i = 0; i < 3; ++i) {
for (num = j = 0; j < 3; ++j) {
num += cam_rgb[i][j];
}
for (j = 0; j < 3; ++j) {
cam_rgb[i][j] /= num;
}
}
double rgb_cam[3][3] = {};
RawImageSource::inverse33(cam_rgb, rgb_cam);
Matrix res = {};
for (i = 0; i < 3; ++i) {
for (j = 0; j < 3; ++j) {
for (k = 0; k < 3; ++k) {
res[i][j] += xyz_sRGB[i][k] * rgb_cam[k][j];
}
}
}
return res;
}
std::vector<DCPProfile::HsbModify> DCPProfile::makeHueSatMap(const ColorTemp& white_balance, int preferred_illuminant) const
{
if (deltas_1.empty()) {
return std::vector<HsbModify>();
}
if (deltas_2.empty()) {
return deltas_1;
}
if (preferred_illuminant == 1) {
return deltas_1;
} else if (preferred_illuminant == 2) {
return deltas_2;
}
// Interpolate based on color temperature
if (
temperature_1 <= 0.0
|| temperature_2 <= 0.0
|| temperature_1 == temperature_2
) {
return deltas_1;
}
const bool reverse = temperature_1 > temperature_2;
const double t1 =
reverse
? temperature_2
: temperature_1;
const double t2 =
reverse
? temperature_1
: temperature_2;
double mix;
if (white_balance.getTemp() <= t1) {
mix = 1.0;
} else if (white_balance.getTemp() >= t2) {
mix = 0.0;
} else {
const double invT = 1.0 / white_balance.getTemp();
mix = (invT - (1.0 / t2)) / ((1.0 / t1) - (1.0 / t2));
}
if (reverse) {
mix = 1.0 - mix;
}
if (mix >= 1.0) {
return deltas_1;
} else if (mix <= 0.0) {
return deltas_2;
}
// Interpolate between the tables.
std::vector<HsbModify> res(delta_info.array_count);
const float w1 = mix;
const float w2 = 1.0f - w1;
for (unsigned int i = 0; i < delta_info.array_count; ++i) {
res[i].hue_shift = w1 * deltas_1[i].hue_shift + w2 * deltas_2[i].hue_shift;
res[i].sat_scale = w1 * deltas_1[i].sat_scale + w2 * deltas_2[i].sat_scale;
res[i].val_scale = w1 * deltas_1[i].val_scale + w2 * deltas_2[i].val_scale;
}
return res;
}
inline void DCPProfile::hsdApply(const HsdTableInfo& table_info, const std::vector<HsbModify>& table_base, float& h, float& s, float& v) const
{
// Apply the HueSatMap. Ported from Adobes reference implementation.
float hue_shift;
float sat_scale;
float val_scale;
float v_encoded = v;
if (table_info.val_divisions < 2) {
// Optimize most common case of "2.5D" table
const float h_scaled = h * table_info.pc.h_scale;
const float s_scaled = s * table_info.pc.s_scale;
int h_index0 = max<int>(h_scaled, 0);
const int s_index0 = std::max(std::min<int>(s_scaled, table_info.pc.max_sat_index0), 0);
int h_index1 = h_index0 + 1;
if (h_index0 >= table_info.pc.max_hue_index0) {
h_index0 = table_info.pc.max_hue_index0;
h_index1 = 0;
}
const float h_fract1 = h_scaled - static_cast<float>(h_index0);
const float s_fract1 = s_scaled - static_cast<float>(s_index0);
const float h_fract0 = 1.0f - h_fract1;
const float s_fract0 = 1.0f - s_fract1;
std::vector<HsbModify>::size_type e00_index = h_index0 * table_info.pc.hue_step + s_index0;
std::vector<HsbModify>::size_type e01_index = e00_index + (h_index1 - h_index0) * table_info.pc.hue_step;
const float hue_shift0 = h_fract0 * table_base[e00_index].hue_shift + h_fract1 * table_base[e01_index].hue_shift;
const float sat_scale0 = h_fract0 * table_base[e00_index].sat_scale + h_fract1 * table_base[e01_index].sat_scale;
const float val_scale0 = h_fract0 * table_base[e00_index].val_scale + h_fract1 * table_base[e01_index].val_scale;
++e00_index;
++e01_index;
const float hueShift1 = h_fract0 * table_base[e00_index].hue_shift + h_fract1 * table_base[e01_index].hue_shift;
const float satScale1 = h_fract0 * table_base[e00_index].sat_scale + h_fract1 * table_base[e01_index].sat_scale;
const float valScale1 = h_fract0 * table_base[e00_index].val_scale + h_fract1 * table_base[e01_index].val_scale;
hue_shift = s_fract0 * hue_shift0 + s_fract1 * hueShift1;
sat_scale = s_fract0 * sat_scale0 + s_fract1 * satScale1;
val_scale = s_fract0 * val_scale0 + s_fract1 * valScale1;
} else {
const float h_scaled = h * table_info.pc.h_scale;
const float s_scaled = s * table_info.pc.s_scale;
if (table_info.srgb_gamma) {
v_encoded = Color::gammatab_srgb1[v * 65535.f];
}
const float v_scaled = v_encoded * table_info.pc.v_scale;
int h_index0 = h_scaled;
const int s_index0 = std::max(std::min<int>(s_scaled, table_info.pc.max_sat_index0), 0);
const int v_index0 = std::max(std::min<int>(v_scaled, table_info.pc.max_val_index0), 0);
int h_index1 = h_index0 + 1;
if (h_index0 >= table_info.pc.max_hue_index0) {
h_index0 = table_info.pc.max_hue_index0;
h_index1 = 0;
}
const float h_fract1 = h_scaled - static_cast<float>(h_index0);
const float s_fract1 = s_scaled - static_cast<float>(s_index0);
const float v_fract1 = v_scaled - static_cast<float>(v_index0);
const float h_fract0 = 1.0f - h_fract1;
const float s_fract0 = 1.0f - s_fract1;
const float v_fract0 = 1.0f - v_fract1;
std::vector<HsbModify>::size_type e00_index = v_index0 * table_info.pc.val_step + h_index0 * table_info.pc.hue_step + s_index0;
std::vector<HsbModify>::size_type e01_index = e00_index + (h_index1 - h_index0) * table_info.pc.hue_step;
std::vector<HsbModify>::size_type e10_index = e00_index + table_info.pc.val_step;
std::vector<HsbModify>::size_type e11_index = e01_index + table_info.pc.val_step;
const float hueShift0 =
v_fract0 * (h_fract0 * table_base[e00_index].hue_shift + h_fract1 * table_base[e01_index].hue_shift)
+ v_fract1 * (h_fract0 * table_base[e10_index].hue_shift + h_fract1 * table_base[e11_index].hue_shift);
const float satScale0 =
v_fract0 * (h_fract0 * table_base[e00_index].sat_scale + h_fract1 * table_base[e01_index].sat_scale)
+ v_fract1 * (h_fract0 * table_base[e10_index].sat_scale + h_fract1 * table_base[e11_index].sat_scale);
const float valScale0 =
v_fract0 * (h_fract0 * table_base[e00_index].val_scale + h_fract1 * table_base[e01_index].val_scale)
+ v_fract1 * (h_fract0 * table_base[e10_index].val_scale + h_fract1 * table_base[e11_index].val_scale);
++e00_index;
++e01_index;
++e10_index;
++e11_index;
const float hueShift1 =
v_fract0 * (h_fract0 * table_base[e00_index].hue_shift + h_fract1 * table_base[e01_index].hue_shift)
+ v_fract1 * (h_fract0 * table_base[e10_index].hue_shift + h_fract1 * table_base[e11_index].hue_shift);
const float satScale1 =
v_fract0 * (h_fract0 * table_base[e00_index].sat_scale + h_fract1 * table_base[e01_index].sat_scale)
+ v_fract1 * (h_fract0 * table_base[e10_index].sat_scale + h_fract1 * table_base[e11_index].sat_scale);
const float valScale1 =
v_fract0 * (h_fract0 * table_base[e00_index].val_scale + h_fract1 * table_base[e01_index].val_scale)
+ v_fract1 * (h_fract0 * table_base[e10_index].val_scale + h_fract1 * table_base[e11_index].val_scale);
hue_shift = s_fract0 * hueShift0 + s_fract1 * hueShift1;
sat_scale = s_fract0 * satScale0 + s_fract1 * satScale1;
val_scale = s_fract0 * valScale0 + s_fract1 * valScale1;
}
hue_shift *= 6.0f / 360.0f; // Convert to internal hue range.
h += hue_shift;
s *= sat_scale; // No clipping here, we are RT float :-)
if (table_info.srgb_gamma) {
v = Color::igammatab_srgb1[v_encoded * val_scale * 65535.f];
} else {
v *= val_scale;
}
}
bool DCPProfile::isValid() const
{
return valid;
}
DCPStore* DCPStore::getInstance()
{
static DCPStore instance;
return &instance;
}
DCPStore::~DCPStore()
{
for (auto &p : profile_cache) {
delete p.second;
}
}
void DCPStore::init(const Glib::ustring& rt_profile_dir, bool loadAll)
{
MyMutex::MyLock lock(mutex);
file_std_profiles.clear();
if (!loadAll) {
profileDir = { rt_profile_dir, Glib::build_filename(options.rtdir, "dcpprofiles") };
return;
}
std::deque<Glib::ustring> dirs = {
rt_profile_dir,
Glib::build_filename(options.rtdir, "dcpprofiles")
};
while (!dirs.empty()) {
// Process directory
const Glib::ustring dirname = dirs.back();
dirs.pop_back();
std::unique_ptr<Glib::Dir> dir;
try {
if (!Glib::file_test(dirname, Glib::FILE_TEST_IS_DIR)) {
continue;
}
dir.reset(new Glib::Dir(dirname));
} catch (Glib::Exception& exception) {
return;
}
for (const Glib::ustring& sname : *dir) {
const Glib::ustring fname = Glib::build_filename(dirname, sname);
if (!Glib::file_test(fname, Glib::FILE_TEST_IS_DIR)) {
// File
const auto lastdot = sname.rfind('.');
if (
lastdot != Glib::ustring::npos
&& lastdot <= sname.size() - 4
&& !sname.casefold().compare(lastdot, 4, ".dcp")
) {
file_std_profiles[casefold_collate_key(sname.substr(0, lastdot))] = fname; // They will be loaded and cached on demand
}
} else {
// Directory
dirs.push_front(fname);
}
}
}
for (const auto& alias : getAliases(rt_profile_dir)) {
const Glib::ustring alias_name = Glib::ustring(alias.first).uppercase();
const std::map<std::string, Glib::ustring>::const_iterator real = file_std_profiles.find(casefold_collate_key(alias.second));
if (real != file_std_profiles.end()) {
file_std_profiles[casefold_collate_key(alias_name)] = real->second;
}
}
}
bool DCPStore::isValidDCPFileName(const Glib::ustring& filename)
{
if (!Glib::file_test(filename, Glib::FILE_TEST_EXISTS) || Glib::file_test(filename, Glib::FILE_TEST_IS_DIR)) {
return false;
}
const auto pos = filename.rfind('.');
return
pos > 0
&& (
!filename.casefold().compare(pos, 4, ".dcp")
|| !filename.casefold().compare(pos, 4, ".dng")
);
}
DCPProfile* DCPStore::getProfile(const Glib::ustring& filename) const
{
const auto key = filename.casefold_collate_key();
MyMutex::MyLock lock(mutex);
const std::map<std::string, DCPProfile*>::const_iterator iter = profile_cache.find(key);
if (iter != profile_cache.end()) {
return iter->second;
}
DCPProfile* const res = new DCPProfile(filename);
if (res->isValid()) {
// Add profile
profile_cache[key] = res;
if (settings->verbose) {
printf("DCP profile '%s' loaded from disk\n", filename.c_str());
}
return res;
}
delete res;
return nullptr;
}
DCPProfile* DCPStore::getStdProfile(const Glib::ustring& requested_cam_short_name) const
{
const std::map<std::string, Glib::ustring>::const_iterator iter = file_std_profiles.find(casefold_collate_key(requested_cam_short_name));
if (iter != file_std_profiles.end()) {
return getProfile(iter->second);
}
// profile not found, looking if we're in loadAll=false mode
for (const auto &dir : profileDir) {
if (!dir.empty()) {
const Glib::ustring fname = Glib::build_filename(dir, requested_cam_short_name + Glib::ustring(".dcp"));
if (Glib::file_test(fname, Glib::FILE_TEST_EXISTS)) {
return getProfile(fname);
}
}
}
return nullptr;
}
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