1 | /*
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2 |
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3 | gbmmcut.c - Median Cut colour reductions
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4 |
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5 | */
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6 |
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7 | /*...sincludes:0:*/
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8 | #include <stdio.h>
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9 | #include <stddef.h>
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10 | #include <stdlib.h>
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11 | #include <string.h>
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12 | #include "gbm.h"
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13 |
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14 | /*...vgbm\46\h:0:*/
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15 | /*...e*/
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16 |
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17 | #define DIV_R 4
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18 | #define DIV_G 2
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19 | #define DIV_B 1
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20 |
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21 | typedef struct
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22 | {
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23 | dword freq;
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24 | byte r0,r1,g0,g1,b0,b1;
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25 | byte dividable;
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26 | } CELL;
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27 |
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28 | typedef struct
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29 | {
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30 | dword freqs[0x20][0x20][0x20]; /* 128Kb */
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31 | dword total;
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32 | int n_cells;
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33 | CELL cells[0x100];
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34 | } GBMMCUT;
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35 |
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36 | /*...sgbm_create_mcut \45\ create empty mcut:0:*/
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37 | GBMMCUT *gbm_create_mcut(void)
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38 | {
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39 | GBMMCUT *mcut;
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40 |
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41 | if ( (mcut = malloc((size_t) sizeof(GBMMCUT))) == NULL )
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42 | return NULL;
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43 |
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44 | memset(mcut->freqs, 0x00, sizeof(mcut->freqs));
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45 | mcut->total = 0;
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46 | return mcut;
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47 | }
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48 | /*...e*/
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49 | /*...sgbm_delete_mcut \45\ delete mcut:0:*/
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50 | void gbm_delete_mcut(GBMMCUT *mcut)
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51 | {
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52 | free(mcut);
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53 | }
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54 | /*...e*/
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55 | /*...sgbm_add_to_mcut \45\ add statistics from file data:0:*/
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56 | void gbm_add_to_mcut(
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57 | GBMMCUT *mcut,
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58 | const GBM *gbm, const byte *data24
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59 | )
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60 | {
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61 | int stride24 = ((gbm->w * 3 + 3) & ~3);
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62 | int step24 = stride24 - gbm->w * 3;
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63 | int x, y;
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64 |
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65 | for ( y = 0; y < gbm->h; y++, data24 += step24 )
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66 | for ( x = 0; x < gbm->w; x++ )
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67 | {
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68 | byte b = (byte) (*data24++ >> 3);
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69 | byte g = (byte) (*data24++ >> 3);
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70 | byte r = (byte) (*data24++ >> 3);
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71 |
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72 | ( mcut->freqs[b][g][r] )++;
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73 | }
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74 | mcut->total += ( gbm->w * gbm->h );
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75 | }
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76 | /*...e*/
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77 | /*...sgbm_pal_mcut \45\ build median palette via median cut:0:*/
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78 | /*...sshrink:0:*/
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79 | /* Apologies for use of 'goto'
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80 | In this case, its considered appropriate. */
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81 |
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82 | static void shrink(GBMMCUT *mcut, CELL *c)
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83 | {
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84 | byte r, g, b;
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85 |
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86 | for ( ;; c->r0++ )
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87 | for ( g = c->g0; g < c->g1; g++ )
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88 | for ( b = c->b0; b < c->b1; b++ )
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89 | if ( mcut->freqs[b][g][c->r0] )
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90 | goto quit_r0;
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91 | quit_r0:
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92 |
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93 | for ( ; c->r1-c->r0 > 1; c->r1-- )
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94 | for ( g = c->g0; g < c->g1; g++ )
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95 | for ( b = c->b0; b < c->b1; b++ )
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96 | if ( mcut->freqs[b][g][c->r1-1] )
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97 | goto quit_r1;
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98 | quit_r1:
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99 |
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100 | for ( ;; c->g0++ )
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101 | for ( r = c->r0; r < c->r1; r++ )
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102 | for ( b = c->b0; b < c->b1; b++ )
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103 | if ( mcut->freqs[b][c->g0][r] )
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104 | goto quit_g0;
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105 | quit_g0:
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106 |
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107 | for ( ; c->g1-c->g0 > 1; c->g1-- )
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108 | for ( r = c->r0; r < c->r1; r++ )
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109 | for ( b = c->b0; b < c->b1; b++ )
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110 | if ( mcut->freqs[b][c->g1-1][r] )
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111 | goto quit_g1;
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112 | quit_g1:
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113 |
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114 | for ( ;; c->b0++ )
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115 | for ( r = c->r0; r < c->r1; r++ )
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116 | for ( g = c->g0; g < c->g1; g++ )
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117 | if ( mcut->freqs[c->b0][g][r] )
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118 | goto quit_b0;
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119 | quit_b0:
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120 |
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121 | for ( ; c->b1-c->b0 > 1; c->b1-- )
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122 | for ( r = c->r0; r < c->r1; r++ )
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123 | for ( g = c->g0; g < c->g1; g++ )
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124 | if ( mcut->freqs[c->b1-1][g][r] )
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125 | goto quit_b1;
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126 | quit_b1:
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127 |
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128 | c->dividable = ( ( c->r1-c->r0 > 1 ) ? DIV_R : 0 ) +
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129 | ( ( c->g1-c->g0 > 1 ) ? DIV_G : 0 ) +
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130 | ( ( c->b1-c->b0 > 1 ) ? DIV_B : 0 ) ;
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131 | }
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132 | /*...e*/
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133 |
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134 | void gbm_pal_mcut(
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135 | GBMMCUT *mcut,
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136 | GBMRGB gbmrgb[],
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137 | int n_cols_wanted
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138 | )
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139 | {
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140 | CELL *c = mcut->cells;
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141 | int i, j;
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142 | byte reorder[0x100];
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143 |
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144 | if ( n_cols_wanted > 0x100 )
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145 | n_cols_wanted = 0x100;
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146 |
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147 | /* Initially, a single cell covers the whole colour cube */
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148 |
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149 | c->r0 = c->g0 = c->b0 = 0;
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150 | c->r1 = c->g1 = c->b1 = 0x20;
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151 | c->freq = mcut->total;
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152 | shrink(mcut, c);
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153 | mcut->n_cells = 1;
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154 |
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155 | /* Do the following until got as many colours (cells) as reqd. */
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156 |
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157 | while ( mcut->n_cells < n_cols_wanted )
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158 | {
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159 | CELL *cmax = NULL;
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160 |
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161 | /*...sfind cell with most pixels in it\44\ that can be divided:16:*/
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162 | {
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163 | int j;
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164 | dword freqmax = 1;
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165 |
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166 | for ( j = 0; j < mcut->n_cells; j++ )
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167 | if ( c[j].freq > freqmax && c[j].dividable )
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168 | {
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169 | cmax = &(c[j]);
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170 | freqmax = cmax->freq;
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171 | }
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172 | }
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173 | /*...e*/
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174 | if ( cmax == NULL )
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175 | break;
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176 |
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177 | while ( cmax->dividable )
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178 | {
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179 | byte split;
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180 | CELL *cnew = &(c[mcut->n_cells]);
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181 |
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182 | /*...scalculate way to do the split:24:*/
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183 | {
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184 | int dr = (cmax->dividable&DIV_R) ? cmax->r1 - cmax->r0 : 0;
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185 | int dg = (cmax->dividable&DIV_G) ? cmax->g1 - cmax->g0 : 0;
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186 | int db = (cmax->dividable&DIV_B) ? cmax->b1 - cmax->b0 : 0;
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187 |
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188 | if ( dg >= dr && dg >= db )
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189 | split = DIV_G;
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190 | else if ( dr >= db )
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191 | split = DIV_R;
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192 | else
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193 | split = DIV_B;
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194 | }
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195 | /*...e*/
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196 | switch ( split )
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197 | {
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198 | /*...sDIV_R:32:*/
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199 | case DIV_R:
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200 | {
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201 | byte r, g, b;
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202 | dword slice, total = 0;
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203 |
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204 | for ( r = cmax->r0; total < (cmax->freq>>1); r++ )
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205 | {
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206 | slice = 0;
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207 | for ( g = cmax->g0; g < cmax->g1; g++ )
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208 | for ( b = cmax->b0; b < cmax->b1; b++ )
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209 | slice += mcut->freqs[b][g][r];
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210 | total += slice;
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211 | }
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212 |
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213 | if ( r == cmax->r1 && total > slice )
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214 | {
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215 | r--;
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216 | total -= slice;
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217 | }
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218 |
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219 | cnew->r1 = cmax->r1;
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220 | cnew->r0 = cmax->r1 = r;
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221 | cnew->g0 = cmax->g0;
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222 | cnew->g1 = cmax->g1;
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223 | cnew->b0 = cmax->b0;
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224 | cnew->b1 = cmax->b1;
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225 | cnew->freq = cmax->freq - total;
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226 | cmax->freq = total;
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227 | }
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228 | break;
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229 | /*...e*/
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230 | /*...sDIV_G:32:*/
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231 | case DIV_G:
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232 | {
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233 | byte r, g, b;
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234 | dword slice, total = 0;
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235 |
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236 | for ( g = cmax->g0; total < (cmax->freq>>1); g++ )
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237 | {
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238 | slice = 0;
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239 | for ( r = cmax->r0; r < cmax->r1; r++ )
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240 | for ( b = cmax->b0; b < cmax->b1; b++ )
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241 | slice += mcut->freqs[b][g][r];
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242 | total += slice;
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243 | }
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244 |
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245 | if ( g == cmax->g1 && total > slice )
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246 | {
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247 | g--;
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248 | total -= slice;
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249 | }
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250 |
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251 | cnew->r0 = cmax->r0;
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252 | cnew->r1 = cmax->r1;
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253 | cnew->g1 = cmax->g1;
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254 | cnew->g0 = cmax->g1 = g;
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255 | cnew->b0 = cmax->b0;
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256 | cnew->b1 = cmax->b1;
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257 | cnew->freq = cmax->freq - total;
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258 | cmax->freq = total;
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259 | }
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260 | break;
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261 | /*...e*/
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262 | /*...sDIV_B:32:*/
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263 | case DIV_B:
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264 | {
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265 | byte r, g, b;
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266 | dword slice, total = 0;
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267 |
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268 | for ( b = cmax->b0; total < (cmax->freq>>1); b++ )
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269 | {
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270 | slice = 0;
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271 | for ( r = cmax->r0; r < cmax->r1; r++ )
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272 | for ( g = cmax->g0; g < cmax->g1; g++ )
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273 | slice += mcut->freqs[b][g][r];
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274 | total += slice;
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275 | }
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276 |
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277 | if ( b == cmax->b1 && total > slice )
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278 | {
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279 | b--;
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280 | total -= slice;
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281 | }
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282 |
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283 | cnew->r0 = cmax->r0;
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284 | cnew->r1 = cmax->r1;
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285 | cnew->g0 = cmax->g0;
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286 | cnew->g1 = cmax->g1;
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287 | cnew->b1 = cmax->b1;
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288 | cnew->b0 = cmax->b1 = b;
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289 | cnew->freq = cmax->freq - total;
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290 | cmax->freq = total;
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291 | }
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292 | break;
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293 | /*...e*/
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294 | }
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295 | if ( cnew->freq > 0 )
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296 | {
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297 | mcut->n_cells++;
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298 | shrink(mcut, cmax);
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299 | shrink(mcut, cnew);
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300 | break;
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301 | }
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302 | cmax->dividable &= ~split;
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303 | }
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304 | }
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305 |
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306 | /* I would like to return the palette sorted by frequency of use */
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307 | /* This isn't technically a requirement of this algorithm */
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308 | /* If I do though, it allows me to do other things afterwards */
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309 |
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310 | for ( i = 0; i < mcut->n_cells; i++ )
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311 | reorder[i] = (byte) i;
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312 |
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313 | for ( j = mcut->n_cells; j > 0; j-- )
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314 | {
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315 | BOOLEAN noswaps = TRUE;
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316 | for ( i = 0; i < j - 1; i++ )
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317 | if ( c[reorder[i]].freq < c[reorder[i+1]].freq )
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318 | {
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319 | byte t = reorder[i];
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320 | reorder[i] = reorder[i+1];
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321 | reorder[i+1] = t;
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322 | noswaps = FALSE;
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323 | }
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324 | if ( noswaps )
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325 | break;
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326 | }
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327 |
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328 |
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329 | /* Now set up the palette array passed in */
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330 | /* Note: ( ((x+y)/2) << 3 ) == ( (x+y) << 2 ) */
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331 | /* Also, label each point in the cell as being a member of that cell */
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332 |
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333 | for ( i = 0; i < mcut->n_cells; i++ )
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334 | {
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335 | int inx = reorder[i];
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336 | byte r, g, b;
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337 |
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338 | gbmrgb[i].r = ( (c[inx].r0 + c[inx].r1) << 2 );
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339 | gbmrgb[i].g = ( (c[inx].g0 + c[inx].g1) << 2 );
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340 | gbmrgb[i].b = ( (c[inx].b0 + c[inx].b1) << 2 );
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341 |
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342 | for ( r = c[inx].r0; r < c[inx].r1; r++ )
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343 | for ( g = c[inx].g0; g < c[inx].g1; g++ )
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344 | for ( b = c[inx].b0; b < c[inx].b1; b++ )
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345 | mcut->freqs[b][g][r] = i;
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346 | }
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347 |
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348 | /* Unused palette entries will be medium grey */
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349 | for ( ; i < 0x100; i++ )
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350 | {
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351 | gbmrgb[i].r = 0x80;
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352 | gbmrgb[i].g = 0x80;
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353 | gbmrgb[i].b = 0x80;
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354 | }
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355 | }
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356 | /*...e*/
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357 | /*...sgbm_map_mcut \45\ map to median cutted palette:0:*/
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358 | void gbm_map_mcut(
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359 | GBMMCUT *mcut,
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360 | const GBM *gbm, const byte *data24, byte *data8
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361 | )
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362 | {
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363 | int stride24 = ((gbm->w * 3 + 3) & ~3);
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364 | int step24 = stride24 - gbm->w * 3;
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365 | int stride8 = ((gbm->w + 3) & ~3);
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366 | int step8 = stride8 - gbm->w;
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367 | int x, y;
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368 |
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369 | /* Now transform the image data */
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370 |
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371 | for ( y = 0; y < gbm->h; y++, data24 += step24, data8 += step8 )
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372 | for ( x = 0; x < gbm->w; x++ )
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373 | {
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374 | byte b = (*data24++ >> 3);
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375 | byte g = (*data24++ >> 3);
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376 | byte r = (*data24++ >> 3);
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377 |
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378 | *data8++ = (byte) ( mcut->freqs[b][g][r] );
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379 | }
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380 | }
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381 | /*...e*/
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382 | /*...sgbm_mcut \45\ map single bitmap using median cut:0:*/
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383 | BOOLEAN gbm_mcut(
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384 | const GBM *gbm, const byte *data24,
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385 | GBMRGB gbmrgb[],
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386 | byte *data8,
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387 | int n_cols_wanted
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388 | )
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389 | {
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390 | GBMMCUT *mcut;
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391 |
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392 | if ( (mcut = gbm_create_mcut()) == NULL )
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393 | return FALSE;
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394 | gbm_add_to_mcut(mcut, gbm, data24);
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395 | gbm_pal_mcut(mcut, gbmrgb, n_cols_wanted);
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396 | gbm_map_mcut(mcut, gbm, data24, data8);
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397 | gbm_delete_mcut(mcut);
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398 | return TRUE;
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399 | }
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400 | /*...e*/
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