JPEG/R refactor: rename "recovery map" to "gain map"
Bug: b/264715926
Test: build, jpegr_test, gainmapmath_test
Change-Id: I9ff07ed4201f0d7ee664209fc0450808f2ec143d
diff --git a/libs/jpegrecoverymap/gainmapmath.cpp b/libs/jpegrecoverymap/gainmapmath.cpp
new file mode 100644
index 0000000..f15a078
--- /dev/null
+++ b/libs/jpegrecoverymap/gainmapmath.cpp
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2022 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <cmath>
+#include <vector>
+#include <jpegrecoverymap/gainmapmath.h>
+
+namespace android::jpegrecoverymap {
+
+static const std::vector<float> kPqOETF = [] {
+ std::vector<float> result;
+ for (int idx = 0; idx < kPqOETFNumEntries; idx++) {
+ float value = static_cast<float>(idx) / static_cast<float>(kPqOETFNumEntries - 1);
+ result.push_back(pqOetf(value));
+ }
+ return result;
+}();
+
+static const std::vector<float> kPqInvOETF = [] {
+ std::vector<float> result;
+ for (int idx = 0; idx < kPqInvOETFNumEntries; idx++) {
+ float value = static_cast<float>(idx) / static_cast<float>(kPqInvOETFNumEntries - 1);
+ result.push_back(pqInvOetf(value));
+ }
+ return result;
+}();
+
+static const std::vector<float> kHlgOETF = [] {
+ std::vector<float> result;
+ for (int idx = 0; idx < kHlgOETFNumEntries; idx++) {
+ float value = static_cast<float>(idx) / static_cast<float>(kHlgOETFNumEntries - 1);
+ result.push_back(hlgOetf(value));
+ }
+ return result;
+}();
+
+static const std::vector<float> kHlgInvOETF = [] {
+ std::vector<float> result;
+ for (int idx = 0; idx < kHlgInvOETFNumEntries; idx++) {
+ float value = static_cast<float>(idx) / static_cast<float>(kHlgInvOETFNumEntries - 1);
+ result.push_back(hlgInvOetf(value));
+ }
+ return result;
+}();
+
+static const std::vector<float> kSrgbInvOETF = [] {
+ std::vector<float> result;
+ for (int idx = 0; idx < kSrgbInvOETFNumEntries; idx++) {
+ float value = static_cast<float>(idx) / static_cast<float>(kSrgbInvOETFNumEntries - 1);
+ result.push_back(srgbInvOetf(value));
+ }
+ return result;
+}();
+
+// Use Shepard's method for inverse distance weighting. For more information:
+// en.wikipedia.org/wiki/Inverse_distance_weighting#Shepard's_method
+
+float ShepardsIDW::euclideanDistance(float x1, float x2, float y1, float y2) {
+ return sqrt(((y2 - y1) * (y2 - y1)) + (x2 - x1) * (x2 - x1));
+}
+
+void ShepardsIDW::fillShepardsIDW(float *weights, int incR, int incB) {
+ for (int y = 0; y < mMapScaleFactor; y++) {
+ for (int x = 0; x < mMapScaleFactor; x++) {
+ float pos_x = ((float)x) / mMapScaleFactor;
+ float pos_y = ((float)y) / mMapScaleFactor;
+ int curr_x = floor(pos_x);
+ int curr_y = floor(pos_y);
+ int next_x = curr_x + incR;
+ int next_y = curr_y + incB;
+ float e1_distance = euclideanDistance(pos_x, curr_x, pos_y, curr_y);
+ int index = y * mMapScaleFactor * 4 + x * 4;
+ if (e1_distance == 0) {
+ weights[index++] = 1.f;
+ weights[index++] = 0.f;
+ weights[index++] = 0.f;
+ weights[index++] = 0.f;
+ } else {
+ float e1_weight = 1.f / e1_distance;
+
+ float e2_distance = euclideanDistance(pos_x, curr_x, pos_y, next_y);
+ float e2_weight = 1.f / e2_distance;
+
+ float e3_distance = euclideanDistance(pos_x, next_x, pos_y, curr_y);
+ float e3_weight = 1.f / e3_distance;
+
+ float e4_distance = euclideanDistance(pos_x, next_x, pos_y, next_y);
+ float e4_weight = 1.f / e4_distance;
+
+ float total_weight = e1_weight + e2_weight + e3_weight + e4_weight;
+
+ weights[index++] = e1_weight / total_weight;
+ weights[index++] = e2_weight / total_weight;
+ weights[index++] = e3_weight / total_weight;
+ weights[index++] = e4_weight / total_weight;
+ }
+ }
+ }
+}
+
+////////////////////////////////////////////////////////////////////////////////
+// sRGB transformations
+
+static const float kMaxPixelFloat = 1.0f;
+static float clampPixelFloat(float value) {
+ return (value < 0.0f) ? 0.0f : (value > kMaxPixelFloat) ? kMaxPixelFloat : value;
+}
+
+// See IEC 61966-2-1, Equation F.7.
+static const float kSrgbR = 0.2126f, kSrgbG = 0.7152f, kSrgbB = 0.0722f;
+
+float srgbLuminance(Color e) {
+ return kSrgbR * e.r + kSrgbG * e.g + kSrgbB * e.b;
+}
+
+// See ECMA TR/98, Section 7.
+static const float kSrgbRCr = 1.402f, kSrgbGCb = 0.34414f, kSrgbGCr = 0.71414f, kSrgbBCb = 1.772f;
+
+Color srgbYuvToRgb(Color e_gamma) {
+ return {{{ clampPixelFloat(e_gamma.y + kSrgbRCr * e_gamma.v),
+ clampPixelFloat(e_gamma.y - kSrgbGCb * e_gamma.u - kSrgbGCr * e_gamma.v),
+ clampPixelFloat(e_gamma.y + kSrgbBCb * e_gamma.u) }}};
+}
+
+// See ECMA TR/98, Section 7.
+static const float kSrgbYR = 0.299f, kSrgbYG = 0.587f, kSrgbYB = 0.114f;
+static const float kSrgbUR = -0.1687f, kSrgbUG = -0.3313f, kSrgbUB = 0.5f;
+static const float kSrgbVR = 0.5f, kSrgbVG = -0.4187f, kSrgbVB = -0.0813f;
+
+Color srgbRgbToYuv(Color e_gamma) {
+ return {{{ kSrgbYR * e_gamma.r + kSrgbYG * e_gamma.g + kSrgbYB * e_gamma.b,
+ kSrgbUR * e_gamma.r + kSrgbUG * e_gamma.g + kSrgbUB * e_gamma.b,
+ kSrgbVR * e_gamma.r + kSrgbVG * e_gamma.g + kSrgbVB * e_gamma.b }}};
+}
+
+// See IEC 61966-2-1, Equations F.5 and F.6.
+float srgbInvOetf(float e_gamma) {
+ if (e_gamma <= 0.04045f) {
+ return e_gamma / 12.92f;
+ } else {
+ return pow((e_gamma + 0.055f) / 1.055f, 2.4);
+ }
+}
+
+Color srgbInvOetf(Color e_gamma) {
+ return {{{ srgbInvOetf(e_gamma.r),
+ srgbInvOetf(e_gamma.g),
+ srgbInvOetf(e_gamma.b) }}};
+}
+
+// See IEC 61966-2-1, Equations F.5 and F.6.
+float srgbInvOetfLUT(float e_gamma) {
+ uint32_t value = static_cast<uint32_t>(e_gamma * kSrgbInvOETFNumEntries);
+ //TODO() : Remove once conversion modules have appropriate clamping in place
+ value = CLIP3(value, 0, kSrgbInvOETFNumEntries - 1);
+ return kSrgbInvOETF[value];
+}
+
+Color srgbInvOetfLUT(Color e_gamma) {
+ return {{{ srgbInvOetfLUT(e_gamma.r),
+ srgbInvOetfLUT(e_gamma.g),
+ srgbInvOetfLUT(e_gamma.b) }}};
+}
+
+////////////////////////////////////////////////////////////////////////////////
+// Display-P3 transformations
+
+// See SMPTE EG 432-1, Table 7-2.
+static const float kP3R = 0.20949f, kP3G = 0.72160f, kP3B = 0.06891f;
+
+float p3Luminance(Color e) {
+ return kP3R * e.r + kP3G * e.g + kP3B * e.b;
+}
+
+
+////////////////////////////////////////////////////////////////////////////////
+// BT.2100 transformations - according to ITU-R BT.2100-2
+
+// See ITU-R BT.2100-2, Table 5, HLG Reference OOTF
+static const float kBt2100R = 0.2627f, kBt2100G = 0.6780f, kBt2100B = 0.0593f;
+
+float bt2100Luminance(Color e) {
+ return kBt2100R * e.r + kBt2100G * e.g + kBt2100B * e.b;
+}
+
+// See ITU-R BT.2100-2, Table 6, Derivation of colour difference signals.
+static const float kBt2100Cb = 1.8814f, kBt2100Cr = 1.4746f;
+
+Color bt2100RgbToYuv(Color e_gamma) {
+ float y_gamma = bt2100Luminance(e_gamma);
+ return {{{ y_gamma,
+ (e_gamma.b - y_gamma) / kBt2100Cb,
+ (e_gamma.r - y_gamma) / kBt2100Cr }}};
+}
+
+// Derived by inversing bt2100RgbToYuv. The derivation for R and B are pretty
+// straight forward; we just invert the formulas for U and V above. But deriving
+// the formula for G is a bit more complicated:
+//
+// Start with equation for luminance:
+// Y = kBt2100R * R + kBt2100G * G + kBt2100B * B
+// Solve for G:
+// G = (Y - kBt2100R * R - kBt2100B * B) / kBt2100B
+// Substitute equations for R and B in terms YUV:
+// G = (Y - kBt2100R * (Y + kBt2100Cr * V) - kBt2100B * (Y + kBt2100Cb * U)) / kBt2100B
+// Simplify:
+// G = Y * ((1 - kBt2100R - kBt2100B) / kBt2100G)
+// + U * (kBt2100B * kBt2100Cb / kBt2100G)
+// + V * (kBt2100R * kBt2100Cr / kBt2100G)
+//
+// We then get the following coeficients for calculating G from YUV:
+//
+// Coef for Y = (1 - kBt2100R - kBt2100B) / kBt2100G = 1
+// Coef for U = kBt2100B * kBt2100Cb / kBt2100G = kBt2100GCb = ~0.1645
+// Coef for V = kBt2100R * kBt2100Cr / kBt2100G = kBt2100GCr = ~0.5713
+
+static const float kBt2100GCb = kBt2100B * kBt2100Cb / kBt2100G;
+static const float kBt2100GCr = kBt2100R * kBt2100Cr / kBt2100G;
+
+Color bt2100YuvToRgb(Color e_gamma) {
+ return {{{ clampPixelFloat(e_gamma.y + kBt2100Cr * e_gamma.v),
+ clampPixelFloat(e_gamma.y - kBt2100GCb * e_gamma.u - kBt2100GCr * e_gamma.v),
+ clampPixelFloat(e_gamma.y + kBt2100Cb * e_gamma.u) }}};
+}
+
+// See ITU-R BT.2100-2, Table 5, HLG Reference OETF.
+static const float kHlgA = 0.17883277f, kHlgB = 0.28466892f, kHlgC = 0.55991073;
+
+float hlgOetf(float e) {
+ if (e <= 1.0f/12.0f) {
+ return sqrt(3.0f * e);
+ } else {
+ return kHlgA * log(12.0f * e - kHlgB) + kHlgC;
+ }
+}
+
+Color hlgOetf(Color e) {
+ return {{{ hlgOetf(e.r), hlgOetf(e.g), hlgOetf(e.b) }}};
+}
+
+float hlgOetfLUT(float e) {
+ uint32_t value = static_cast<uint32_t>(e * kHlgOETFNumEntries);
+ //TODO() : Remove once conversion modules have appropriate clamping in place
+ value = CLIP3(value, 0, kHlgOETFNumEntries - 1);
+
+ return kHlgOETF[value];
+}
+
+Color hlgOetfLUT(Color e) {
+ return {{{ hlgOetfLUT(e.r), hlgOetfLUT(e.g), hlgOetfLUT(e.b) }}};
+}
+
+// See ITU-R BT.2100-2, Table 5, HLG Reference EOTF.
+float hlgInvOetf(float e_gamma) {
+ if (e_gamma <= 0.5f) {
+ return pow(e_gamma, 2.0f) / 3.0f;
+ } else {
+ return (exp((e_gamma - kHlgC) / kHlgA) + kHlgB) / 12.0f;
+ }
+}
+
+Color hlgInvOetf(Color e_gamma) {
+ return {{{ hlgInvOetf(e_gamma.r),
+ hlgInvOetf(e_gamma.g),
+ hlgInvOetf(e_gamma.b) }}};
+}
+
+float hlgInvOetfLUT(float e_gamma) {
+ uint32_t value = static_cast<uint32_t>(e_gamma * kHlgInvOETFNumEntries);
+ //TODO() : Remove once conversion modules have appropriate clamping in place
+ value = CLIP3(value, 0, kHlgInvOETFNumEntries - 1);
+
+ return kHlgInvOETF[value];
+}
+
+Color hlgInvOetfLUT(Color e_gamma) {
+ return {{{ hlgInvOetfLUT(e_gamma.r),
+ hlgInvOetfLUT(e_gamma.g),
+ hlgInvOetfLUT(e_gamma.b) }}};
+}
+
+// See ITU-R BT.2100-2, Table 4, Reference PQ OETF.
+static const float kPqM1 = 2610.0f / 16384.0f, kPqM2 = 2523.0f / 4096.0f * 128.0f;
+static const float kPqC1 = 3424.0f / 4096.0f, kPqC2 = 2413.0f / 4096.0f * 32.0f,
+ kPqC3 = 2392.0f / 4096.0f * 32.0f;
+
+float pqOetf(float e) {
+ if (e <= 0.0f) return 0.0f;
+ return pow((kPqC1 + kPqC2 * pow(e, kPqM1)) / (1 + kPqC3 * pow(e, kPqM1)),
+ kPqM2);
+}
+
+Color pqOetf(Color e) {
+ return {{{ pqOetf(e.r), pqOetf(e.g), pqOetf(e.b) }}};
+}
+
+float pqOetfLUT(float e) {
+ uint32_t value = static_cast<uint32_t>(e * kPqOETFNumEntries);
+ //TODO() : Remove once conversion modules have appropriate clamping in place
+ value = CLIP3(value, 0, kPqOETFNumEntries - 1);
+
+ return kPqOETF[value];
+}
+
+Color pqOetfLUT(Color e) {
+ return {{{ pqOetfLUT(e.r), pqOetfLUT(e.g), pqOetfLUT(e.b) }}};
+}
+
+// Derived from the inverse of the Reference PQ OETF.
+static const float kPqInvA = 128.0f, kPqInvB = 107.0f, kPqInvC = 2413.0f, kPqInvD = 2392.0f,
+ kPqInvE = 6.2773946361f, kPqInvF = 0.0126833f;
+
+float pqInvOetf(float e_gamma) {
+ // This equation blows up if e_gamma is 0.0, and checking on <= 0.0 doesn't
+ // always catch 0.0. So, check on 0.0001, since anything this small will
+ // effectively be crushed to zero anyways.
+ if (e_gamma <= 0.0001f) return 0.0f;
+ return pow((kPqInvA * pow(e_gamma, kPqInvF) - kPqInvB)
+ / (kPqInvC - kPqInvD * pow(e_gamma, kPqInvF)),
+ kPqInvE);
+}
+
+Color pqInvOetf(Color e_gamma) {
+ return {{{ pqInvOetf(e_gamma.r),
+ pqInvOetf(e_gamma.g),
+ pqInvOetf(e_gamma.b) }}};
+}
+
+float pqInvOetfLUT(float e_gamma) {
+ uint32_t value = static_cast<uint32_t>(e_gamma * kPqInvOETFNumEntries);
+ //TODO() : Remove once conversion modules have appropriate clamping in place
+ value = CLIP3(value, 0, kPqInvOETFNumEntries - 1);
+
+ return kPqInvOETF[value];
+}
+
+Color pqInvOetfLUT(Color e_gamma) {
+ return {{{ pqInvOetfLUT(e_gamma.r),
+ pqInvOetfLUT(e_gamma.g),
+ pqInvOetfLUT(e_gamma.b) }}};
+}
+
+
+////////////////////////////////////////////////////////////////////////////////
+// Color conversions
+
+Color bt709ToP3(Color e) {
+ return {{{ 0.82254f * e.r + 0.17755f * e.g + 0.00006f * e.b,
+ 0.03312f * e.r + 0.96684f * e.g + -0.00001f * e.b,
+ 0.01706f * e.r + 0.07240f * e.g + 0.91049f * e.b }}};
+}
+
+Color bt709ToBt2100(Color e) {
+ return {{{ 0.62740f * e.r + 0.32930f * e.g + 0.04332f * e.b,
+ 0.06904f * e.r + 0.91958f * e.g + 0.01138f * e.b,
+ 0.01636f * e.r + 0.08799f * e.g + 0.89555f * e.b }}};
+}
+
+Color p3ToBt709(Color e) {
+ return {{{ 1.22482f * e.r + -0.22490f * e.g + -0.00007f * e.b,
+ -0.04196f * e.r + 1.04199f * e.g + 0.00001f * e.b,
+ -0.01961f * e.r + -0.07865f * e.g + 1.09831f * e.b }}};
+}
+
+Color p3ToBt2100(Color e) {
+ return {{{ 0.75378f * e.r + 0.19862f * e.g + 0.04754f * e.b,
+ 0.04576f * e.r + 0.94177f * e.g + 0.01250f * e.b,
+ -0.00121f * e.r + 0.01757f * e.g + 0.98359f * e.b }}};
+}
+
+Color bt2100ToBt709(Color e) {
+ return {{{ 1.66045f * e.r + -0.58764f * e.g + -0.07286f * e.b,
+ -0.12445f * e.r + 1.13282f * e.g + -0.00837f * e.b,
+ -0.01811f * e.r + -0.10057f * e.g + 1.11878f * e.b }}};
+}
+
+Color bt2100ToP3(Color e) {
+ return {{{ 1.34369f * e.r + -0.28223f * e.g + -0.06135f * e.b,
+ -0.06533f * e.r + 1.07580f * e.g + -0.01051f * e.b,
+ 0.00283f * e.r + -0.01957f * e.g + 1.01679f * e.b
+ }}};
+}
+
+// TODO: confirm we always want to convert like this before calculating
+// luminance.
+ColorTransformFn getHdrConversionFn(jpegr_color_gamut sdr_gamut, jpegr_color_gamut hdr_gamut) {
+ switch (sdr_gamut) {
+ case JPEGR_COLORGAMUT_BT709:
+ switch (hdr_gamut) {
+ case JPEGR_COLORGAMUT_BT709:
+ return identityConversion;
+ case JPEGR_COLORGAMUT_P3:
+ return p3ToBt709;
+ case JPEGR_COLORGAMUT_BT2100:
+ return bt2100ToBt709;
+ case JPEGR_COLORGAMUT_UNSPECIFIED:
+ return nullptr;
+ }
+ break;
+ case JPEGR_COLORGAMUT_P3:
+ switch (hdr_gamut) {
+ case JPEGR_COLORGAMUT_BT709:
+ return bt709ToP3;
+ case JPEGR_COLORGAMUT_P3:
+ return identityConversion;
+ case JPEGR_COLORGAMUT_BT2100:
+ return bt2100ToP3;
+ case JPEGR_COLORGAMUT_UNSPECIFIED:
+ return nullptr;
+ }
+ break;
+ case JPEGR_COLORGAMUT_BT2100:
+ switch (hdr_gamut) {
+ case JPEGR_COLORGAMUT_BT709:
+ return bt709ToBt2100;
+ case JPEGR_COLORGAMUT_P3:
+ return p3ToBt2100;
+ case JPEGR_COLORGAMUT_BT2100:
+ return identityConversion;
+ case JPEGR_COLORGAMUT_UNSPECIFIED:
+ return nullptr;
+ }
+ break;
+ case JPEGR_COLORGAMUT_UNSPECIFIED:
+ return nullptr;
+ }
+}
+
+
+////////////////////////////////////////////////////////////////////////////////
+// Gain map calculations
+uint8_t encodeGain(float y_sdr, float y_hdr, jr_metadata_ptr metadata) {
+ return encodeGain(y_sdr, y_hdr, metadata,
+ log2(metadata->minContentBoost), log2(metadata->maxContentBoost));
+}
+
+uint8_t encodeGain(float y_sdr, float y_hdr, jr_metadata_ptr metadata,
+ float log2MinContentBoost, float log2MaxContentBoost) {
+ float gain = 1.0f;
+ if (y_sdr > 0.0f) {
+ gain = y_hdr / y_sdr;
+ }
+
+ if (gain < metadata->minContentBoost) gain = metadata->minContentBoost;
+ if (gain > metadata->maxContentBoost) gain = metadata->maxContentBoost;
+
+ return static_cast<uint8_t>((log2(gain) - log2MinContentBoost)
+ / (log2MaxContentBoost - log2MinContentBoost)
+ * 255.0f);
+}
+
+Color applyGain(Color e, float gain, jr_metadata_ptr metadata) {
+ float logBoost = log2(metadata->minContentBoost) * (1.0f - gain)
+ + log2(metadata->maxContentBoost) * gain;
+ float gainFactor = exp2(logBoost);
+ return e * gainFactor;
+}
+
+Color applyGain(Color e, float gain, jr_metadata_ptr metadata, float displayBoost) {
+ float logBoost = log2(metadata->minContentBoost) * (1.0f - gain)
+ + log2(metadata->maxContentBoost) * gain;
+ float gainFactor = exp2(logBoost * displayBoost / metadata->maxContentBoost);
+ return e * gainFactor;
+}
+
+Color applyGainLUT(Color e, float gain, GainLUT& gainLUT) {
+ float gainFactor = gainLUT.getGainFactor(gain);
+ return e * gainFactor;
+}
+
+Color getYuv420Pixel(jr_uncompressed_ptr image, size_t x, size_t y) {
+ size_t pixel_count = image->width * image->height;
+
+ size_t pixel_y_idx = x + y * image->width;
+ size_t pixel_uv_idx = x / 2 + (y / 2) * (image->width / 2);
+
+ uint8_t y_uint = reinterpret_cast<uint8_t*>(image->data)[pixel_y_idx];
+ uint8_t u_uint = reinterpret_cast<uint8_t*>(image->data)[pixel_count + pixel_uv_idx];
+ uint8_t v_uint = reinterpret_cast<uint8_t*>(image->data)[pixel_count * 5 / 4 + pixel_uv_idx];
+
+ // 128 bias for UV given we are using jpeglib; see:
+ // https://github.com/kornelski/libjpeg/blob/master/structure.doc
+ return {{{ static_cast<float>(y_uint) / 255.0f,
+ (static_cast<float>(u_uint) - 128.0f) / 255.0f,
+ (static_cast<float>(v_uint) - 128.0f) / 255.0f }}};
+}
+
+Color getP010Pixel(jr_uncompressed_ptr image, size_t x, size_t y) {
+ size_t luma_stride = image->luma_stride;
+ size_t chroma_stride = image->chroma_stride;
+ uint16_t* luma_data = reinterpret_cast<uint16_t*>(image->data);
+ uint16_t* chroma_data = reinterpret_cast<uint16_t*>(image->chroma_data);
+
+ if (luma_stride == 0) {
+ luma_stride = image->width;
+ }
+ if (chroma_stride == 0) {
+ chroma_stride = luma_stride;
+ }
+ if (chroma_data == nullptr) {
+ chroma_data = &reinterpret_cast<uint16_t*>(image->data)[image->luma_stride * image->height];
+ }
+
+ size_t pixel_y_idx = y * luma_stride + x;
+ size_t pixel_u_idx = (y >> 1) * chroma_stride + (x & ~0x1);
+ size_t pixel_v_idx = pixel_u_idx + 1;
+
+ uint16_t y_uint = luma_data[pixel_y_idx] >> 6;
+ uint16_t u_uint = chroma_data[pixel_u_idx] >> 6;
+ uint16_t v_uint = chroma_data[pixel_v_idx] >> 6;
+
+ // Conversions include taking narrow-range into account.
+ return {{{ (static_cast<float>(y_uint) - 64.0f) / 876.0f,
+ (static_cast<float>(u_uint) - 64.0f) / 896.0f - 0.5f,
+ (static_cast<float>(v_uint) - 64.0f) / 896.0f - 0.5f }}};
+}
+
+typedef Color (*getPixelFn)(jr_uncompressed_ptr, size_t, size_t);
+
+static Color samplePixels(jr_uncompressed_ptr image, size_t map_scale_factor, size_t x, size_t y,
+ getPixelFn get_pixel_fn) {
+ Color e = {{{ 0.0f, 0.0f, 0.0f }}};
+ for (size_t dy = 0; dy < map_scale_factor; ++dy) {
+ for (size_t dx = 0; dx < map_scale_factor; ++dx) {
+ e += get_pixel_fn(image, x * map_scale_factor + dx, y * map_scale_factor + dy);
+ }
+ }
+
+ return e / static_cast<float>(map_scale_factor * map_scale_factor);
+}
+
+Color sampleYuv420(jr_uncompressed_ptr image, size_t map_scale_factor, size_t x, size_t y) {
+ return samplePixels(image, map_scale_factor, x, y, getYuv420Pixel);
+}
+
+Color sampleP010(jr_uncompressed_ptr image, size_t map_scale_factor, size_t x, size_t y) {
+ return samplePixels(image, map_scale_factor, x, y, getP010Pixel);
+}
+
+// TODO: do we need something more clever for filtering either the map or images
+// to generate the map?
+
+static size_t clamp(const size_t& val, const size_t& low, const size_t& high) {
+ return val < low ? low : (high < val ? high : val);
+}
+
+static float mapUintToFloat(uint8_t map_uint) {
+ return static_cast<float>(map_uint) / 255.0f;
+}
+
+static float pythDistance(float x_diff, float y_diff) {
+ return sqrt(pow(x_diff, 2.0f) + pow(y_diff, 2.0f));
+}
+
+// TODO: If map_scale_factor is guaranteed to be an integer, then remove the following.
+float sampleMap(jr_uncompressed_ptr map, float map_scale_factor, size_t x, size_t y) {
+ float x_map = static_cast<float>(x) / map_scale_factor;
+ float y_map = static_cast<float>(y) / map_scale_factor;
+
+ size_t x_lower = static_cast<size_t>(floor(x_map));
+ size_t x_upper = x_lower + 1;
+ size_t y_lower = static_cast<size_t>(floor(y_map));
+ size_t y_upper = y_lower + 1;
+
+ x_lower = clamp(x_lower, 0, map->width - 1);
+ x_upper = clamp(x_upper, 0, map->width - 1);
+ y_lower = clamp(y_lower, 0, map->height - 1);
+ y_upper = clamp(y_upper, 0, map->height - 1);
+
+ // Use Shepard's method for inverse distance weighting. For more information:
+ // en.wikipedia.org/wiki/Inverse_distance_weighting#Shepard's_method
+
+ float e1 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_lower + y_lower * map->width]);
+ float e1_dist = pythDistance(x_map - static_cast<float>(x_lower),
+ y_map - static_cast<float>(y_lower));
+ if (e1_dist == 0.0f) return e1;
+
+ float e2 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_lower + y_upper * map->width]);
+ float e2_dist = pythDistance(x_map - static_cast<float>(x_lower),
+ y_map - static_cast<float>(y_upper));
+ if (e2_dist == 0.0f) return e2;
+
+ float e3 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_upper + y_lower * map->width]);
+ float e3_dist = pythDistance(x_map - static_cast<float>(x_upper),
+ y_map - static_cast<float>(y_lower));
+ if (e3_dist == 0.0f) return e3;
+
+ float e4 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_upper + y_upper * map->width]);
+ float e4_dist = pythDistance(x_map - static_cast<float>(x_upper),
+ y_map - static_cast<float>(y_upper));
+ if (e4_dist == 0.0f) return e2;
+
+ float e1_weight = 1.0f / e1_dist;
+ float e2_weight = 1.0f / e2_dist;
+ float e3_weight = 1.0f / e3_dist;
+ float e4_weight = 1.0f / e4_dist;
+ float total_weight = e1_weight + e2_weight + e3_weight + e4_weight;
+
+ return e1 * (e1_weight / total_weight)
+ + e2 * (e2_weight / total_weight)
+ + e3 * (e3_weight / total_weight)
+ + e4 * (e4_weight / total_weight);
+}
+
+float sampleMap(jr_uncompressed_ptr map, size_t map_scale_factor, size_t x, size_t y,
+ ShepardsIDW& weightTables) {
+ // TODO: If map_scale_factor is guaranteed to be an integer power of 2, then optimize the
+ // following by computing log2(map_scale_factor) once and then using >> log2(map_scale_factor)
+ int x_lower = x / map_scale_factor;
+ int x_upper = x_lower + 1;
+ int y_lower = y / map_scale_factor;
+ int y_upper = y_lower + 1;
+
+ x_lower = std::min(x_lower, map->width - 1);
+ x_upper = std::min(x_upper, map->width - 1);
+ y_lower = std::min(y_lower, map->height - 1);
+ y_upper = std::min(y_upper, map->height - 1);
+
+ float e1 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_lower + y_lower * map->width]);
+ float e2 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_lower + y_upper * map->width]);
+ float e3 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_upper + y_lower * map->width]);
+ float e4 = mapUintToFloat(reinterpret_cast<uint8_t*>(map->data)[x_upper + y_upper * map->width]);
+
+ // TODO: If map_scale_factor is guaranteed to be an integer power of 2, then optimize the
+ // following by using & (map_scale_factor - 1)
+ int offset_x = x % map_scale_factor;
+ int offset_y = y % map_scale_factor;
+
+ float* weights = weightTables.mWeights;
+ if (x_lower == x_upper && y_lower == y_upper) weights = weightTables.mWeightsC;
+ else if (x_lower == x_upper) weights = weightTables.mWeightsNR;
+ else if (y_lower == y_upper) weights = weightTables.mWeightsNB;
+ weights += offset_y * map_scale_factor * 4 + offset_x * 4;
+
+ return e1 * weights[0] + e2 * weights[1] + e3 * weights[2] + e4 * weights[3];
+}
+
+uint32_t colorToRgba1010102(Color e_gamma) {
+ return (0x3ff & static_cast<uint32_t>(e_gamma.r * 1023.0f))
+ | ((0x3ff & static_cast<uint32_t>(e_gamma.g * 1023.0f)) << 10)
+ | ((0x3ff & static_cast<uint32_t>(e_gamma.b * 1023.0f)) << 20)
+ | (0x3 << 30); // Set alpha to 1.0
+}
+
+uint64_t colorToRgbaF16(Color e_gamma) {
+ return (uint64_t) floatToHalf(e_gamma.r)
+ | (((uint64_t) floatToHalf(e_gamma.g)) << 16)
+ | (((uint64_t) floatToHalf(e_gamma.b)) << 32)
+ | (((uint64_t) floatToHalf(1.0f)) << 48);
+}
+
+} // namespace android::jpegrecoverymap