Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/zxing-cpp/core/src/GlobalHistogramBinarizer.cpp @ 46:7ee69f120f19 default tip

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>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 /*
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2 * Copyright 2016 Nu-book Inc.
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3 * Copyright 2016 ZXing authors
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4 */
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5 // SPDX-License-Identifier: Apache-2.0
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7 #include "GlobalHistogramBinarizer.h"
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9 #include "BitMatrix.h"
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10 #include "Pattern.h"
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11 #include "ZXConfig.h"
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13 #include <algorithm>
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14 #include <array>
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15 #include <utility>
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17 namespace ZXing {
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19 static constexpr int LUMINANCE_BITS = 5;
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20 static constexpr int LUMINANCE_SHIFT = 8 - LUMINANCE_BITS;
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21 static constexpr int LUMINANCE_BUCKETS = 1 << LUMINANCE_BITS;
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23 using Histogram = std::array<uint16_t, LUMINANCE_BUCKETS>;
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25 GlobalHistogramBinarizer::GlobalHistogramBinarizer(const ImageView& buffer) : BinaryBitmap(buffer) {}
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27 GlobalHistogramBinarizer::~GlobalHistogramBinarizer() = default;
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29 using ImageLineView = Range<StrideIter<const uint8_t*>>;
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31 inline ImageLineView RowView(const ImageView& iv, int row)
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32 {
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33 return {{iv.data(0, row), iv.pixStride()}, {iv.data(iv.width(), row), iv.pixStride()}};
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34 }
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36 static void ThresholdSharpened(const ImageLineView in, int threshold, std::vector<uint8_t>& out)
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37 {
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38 out.resize(in.size());
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39 auto i = in.begin();
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40 auto o = out.begin();
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42 *o++ = (*i++ <= threshold) * BitMatrix::SET_V;
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43 for (auto end = in.end() - 1; i != end; ++i)
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44 *o++ = ((-i[-1] + (int(i[0]) * 4) - i[1]) / 2 <= threshold) * BitMatrix::SET_V;
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45 *o++ = (*i++ <= threshold) * BitMatrix::SET_V;
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46 }
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48 static auto GenHistogram(const ImageLineView line)
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49 {
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50 // This code causes about 20% of the total runtime on an AVX2 system for a EAN13 search on Lum input data.
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51 // Trying to increase the performance by performing 2 or 4 "parallel" histograms helped nothing.
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52 Histogram res = {};
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53 for (auto pix : line)
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54 res[pix >> LUMINANCE_SHIFT]++;
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55 return res;
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56 }
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58 // Return -1 on error
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59 static int EstimateBlackPoint(const Histogram& buckets)
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60 {
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61 // Find the tallest peak in the histogram.
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62 auto firstPeakPos = std::max_element(buckets.begin(), buckets.end());
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63 int firstPeak = narrow_cast<int>(firstPeakPos - buckets.begin());
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64 int firstPeakSize = *firstPeakPos;
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65 int maxBucketCount = firstPeakSize;
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67 // Find the second-tallest peak which is somewhat far from the tallest peak.
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68 int secondPeak = 0;
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69 int secondPeakScore = 0;
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70 for (int x = 0; x < Size(buckets); x++) {
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71 int distanceToBiggest = x - firstPeak;
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72 // Encourage more distant second peaks by multiplying by square of distance.
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73 int score = buckets[x] * distanceToBiggest * distanceToBiggest;
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74 if (score > secondPeakScore) {
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75 secondPeak = x;
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76 secondPeakScore = score;
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77 }
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78 }
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80 // Make sure firstPeak corresponds to the black peak.
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81 if (firstPeak > secondPeak) {
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82 std::swap(firstPeak, secondPeak);
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83 }
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84
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85 // If there is too little contrast in the image to pick a meaningful black point, throw rather
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86 // than waste time trying to decode the image, and risk false positives.
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87 if (secondPeak - firstPeak <= LUMINANCE_BUCKETS / 16) {
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88 return -1;
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89 }
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90
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91 // Find a valley between them that is low and closer to the white peak.
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92 int bestValley = secondPeak - 1;
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93 int bestValleyScore = -1;
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94 for (int x = secondPeak - 1; x > firstPeak; x--) {
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95 int fromFirst = x - firstPeak;
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96 int score = fromFirst * fromFirst * (secondPeak - x) * (maxBucketCount - buckets[x]);
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97 if (score > bestValleyScore) {
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98 bestValley = x;
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99 bestValleyScore = score;
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100 }
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101 }
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102
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103 return bestValley << LUMINANCE_SHIFT;
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104 }
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105
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106 bool GlobalHistogramBinarizer::getPatternRow(int row, int rotation, PatternRow& res) const
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107 {
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108 auto buffer = _buffer.rotated(rotation);
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109 auto lineView = RowView(buffer, row);
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110
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111 if (buffer.width() < 3)
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112 return false; // special casing the code below for a width < 3 makes no sense
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113
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114 #if defined(__AVX__) // or defined(__ARM_NEON)
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115 // If we are extracting a column (instead of a row), we run into cache misses on every pixel access both
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116 // during the histogram calculation and during the sharpen+threshold operation. Additionally, if we
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117 // perform the ThresholdSharpened function on pixStride==1 data, the auto-vectorizer makes that part
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118 // 8x faster on an AVX2 cpu which easily recovers the extra cost that we pay for the copying.
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119 ZX_THREAD_LOCAL std::vector<uint8_t> line;
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120 if (std::abs(buffer.pixStride()) > 4) {
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121 line.resize(lineView.size());
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122 std::copy(lineView.begin(), lineView.end(), line.begin());
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123 lineView = {{line.data(), 1}, {line.data() + line.size(), 1}};
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124 }
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125 #endif
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126
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127 auto threshold = EstimateBlackPoint(GenHistogram(lineView)) - 1;
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128 if (threshold <= 0)
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129 return false;
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130
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131 ZX_THREAD_LOCAL std::vector<uint8_t> binarized;
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132 // the optimizer can generate a specialized version for pixStride==1 (non-rotated input) that is about 8x faster on AVX2 hardware
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133 if (lineView.begin().stride == 1)
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134 ThresholdSharpened(lineView, threshold, binarized);
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135 else
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136 ThresholdSharpened(lineView, threshold, binarized);
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137 GetPatternRow(Range(binarized), res);
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138
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139 return true;
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140 }
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141
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142 // Does not sharpen the data, as this call is intended to only be used by 2D Readers.
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143 std::shared_ptr<const BitMatrix>
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144 GlobalHistogramBinarizer::getBlackMatrix() const
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145 {
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146 // Quickly calculates the histogram by sampling four rows from the image. This proved to be
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147 // more robust on the blackbox tests than sampling a diagonal as we used to do.
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148 Histogram localBuckets = {};
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149 {
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150 for (int y = 1; y < 5; y++) {
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151 int row = height() * y / 5;
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152 const uint8_t* luminances = _buffer.data(0, row);
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153 int right = (width() * 4) / 5;
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154 for (int x = width() / 5; x < right; x++)
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155 localBuckets[luminances[x] >> LUMINANCE_SHIFT]++;
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156 }
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157 }
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158
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159 int blackPoint = EstimateBlackPoint(localBuckets);
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160 if (blackPoint <= 0)
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161 return {};
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162
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163
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164
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165 return std::make_shared<const BitMatrix>(binarize(blackPoint));
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166 }
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167
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168 } // ZXing