#pragma once #include #include #include #include "color.h" #include "colors.h" #include "coord.h" #include "image.h" #include "lut.h" #include "minimum.h" // Maximum LUT size that has each point adjacent to at least one ColorChecker color. typedef Lut3d<4, 3, 3> ColorCheckerLut3d; constexpr std::array kColorCheckerSrgb = {{ {{{{0x7300, 0x5200, 0x4400}}}}, {{{{0xc200, 0x9600, 0x8200}}}}, {{{{0x6200, 0x7a00, 0x9d00}}}}, {{{{0x5700, 0x6c00, 0x4300}}}}, {{{{0x8500, 0x8000, 0xb100}}}}, {{{{0x6700, 0xbd00, 0xaa00}}}}, {{{{0xd600, 0x7e00, 0x2c00}}}}, {{{{0x5000, 0x5b00, 0xa600}}}}, {{{{0xc100, 0x5a00, 0x6300}}}}, {{{{0x5e00, 0x3c00, 0x6c00}}}}, {{{{0x9d00, 0xbc00, 0x4000}}}}, {{{{0xe000, 0xa300, 0x2e00}}}}, {{{{0x3800, 0x3d00, 0x9600}}}}, {{{{0x4600, 0x9400, 0x4900}}}}, {{{{0xaf00, 0x3600, 0x3c00}}}}, {{{{0xe700, 0xc700, 0x1f00}}}}, {{{{0xbb00, 0x5600, 0x9500}}}}, {{{{0x0800, 0x8500, 0xa100}}}}, {{{{0xf300, 0xf300, 0xf200}}}}, {{{{0xc800, 0xc800, 0xc800}}}}, {{{{0xa000, 0xa000, 0xa000}}}}, {{{{0x7a00, 0x7a00, 0x7900}}}}, {{{{0x5500, 0x5500, 0x5500}}}}, {{{{0x3400, 0x3400, 0x3400}}}}, }}; template std::array, kColorCheckerSrgb.size()> FindClosest(const Image& image) { static_assert(C == 3); std::array, kColorCheckerSrgb.size()> closest; std::array diff; diff.fill(UINT32_MAX); for (uint32_t y = 0; y < Y; ++y) { const auto& row = image.at(y); for (uint32_t x = 0; x < X; ++x) { const auto& pixel = row.at(x); for (uint32_t cc = 0; cc < kColorCheckerSrgb.size(); ++cc) { auto pixel_diff = pixel.Difference(kColorCheckerSrgb.at(cc)); if (pixel_diff < diff.at(cc)) { diff.at(cc) = pixel_diff; closest.at(cc) = {{{x, y}}}; } } } } return closest; } template uint32_t ScoreImage(const Image& image) { static_assert(C == 3); std::array diff; diff.fill(UINT32_MAX); for (uint32_t y = 0; y < Y; ++y) { const auto& row = image.at(y); for (uint32_t x = 0; x < X; ++x) { const auto& pixel = row.at(x); for (uint32_t cc = 0; cc < kColorCheckerSrgb.size(); ++cc) { auto pixel_diff = pixel.Difference(kColorCheckerSrgb.at(cc)); if (pixel_diff < diff.at(cc)) { diff.at(cc) = pixel_diff; } } } } return std::accumulate(diff.begin(), diff.end(), UINT32_C(0)); } template std::unique_ptr> HighlightClosest(const Image& image) { static_assert(C == 3); auto out = std::make_unique>(image); auto closest = FindClosest(*out); for (uint32_t cc = 0; cc < kColorCheckerSrgb.size(); ++cc) { const auto& coord = closest.at(cc); const auto& color = kColorCheckerSrgb.at(cc); out->DrawSquare({{{std::max(5U, coord.at(0)) - 5, std::max(5U, coord.at(1)) - 5}}}, kBlack, 10); out->DrawSquare({{{std::max(6U, coord.at(0)) - 6, std::max(6U, coord.at(1)) - 6}}}, color, 12); out->DrawSquare({{{std::max(7U, coord.at(0)) - 7, std::max(7U, coord.at(1)) - 7}}}, color, 14); out->DrawSquare({{{std::max(8U, coord.at(0)) - 8, std::max(8U, coord.at(1)) - 8}}}, color, 16); out->DrawSquare({{{std::max(9U, coord.at(0)) - 9, std::max(9U, coord.at(1)) - 9}}}, kWhite, 18); } return out; } template uint32_t OptimizeLut(const Image& image, Lut3d* lut) { static_assert(C == 3); auto snapshot = *lut; uint32_t diff = 0; for (uint32_t x = 0; x < LUT_X; ++x) { auto& rect = lut->at(x); for (uint32_t y = 0; y < LUT_Y; ++y) { auto& row = rect.at(y); for (uint32_t z = 0; z < LUT_Z; ++z) { auto& color = row.at(z); std::cout << Coord<3>{{{x, y, z}}} << std::endl; for (uint32_t c = 0; c < C; ++c) { auto& channel = color.at(c); auto min = FindPossibleMinimum( 0, UINT16_MAX, [&image, &snapshot, x, y, z, c](uint32_t val) { auto test_lut = snapshot; test_lut.at(x).at(y).at(z).at(c) = val; return ScoreImage(*test_lut.MapImage(image)); }); // Magic value of 8 is the number of points making up a square, so the number // of points that control any given given LUT mapping. auto new_value = Interpolate(channel, min, UINT32_C(1), UINT32_C(8)); std::cout << "\tC" << c << ": " << channel << " -> " << new_value << " (interpolated from " << min << ")" << std::endl; diff += AbsDiff(channel, new_value); channel = new_value; } } } } return diff; }