Lossy NEF LinearizationTable accuracy after DNG conversion?

Hi, I noticed somethig strange in LinearizationTable interpolation after conversion of lossy NEF files to DNG (using 11.4.1 for example). I was expecting a strictly increasing table, but the DNG conversion results in some repeated values, which is highly unexpected for a LUT of this purpose (assuming the theory described here is correct).

 

This is an example output from a D5600 12b lossy NEF converted to DNG and read by 'exiftool -LinearizationTable -b *.dng', where value 136 (supposedly in the purely linear portion of the curve) is repeated:

 

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 401 402 404 406 408 410 412 414 416 417 419 421 423 425 427 429 431 433 435 437 439 441 443 445 447 449 451 453 455 457 459 461 463 465 467 469 471 473 475 477 479 481 483 485 487 489 491 493 495 497 499 501 503 505 507 509 511 513 515 517 519 521 523 525 527 529 531 533 535 537 540 542 544 546 548 550 553 555 557 559 561 564 567 570 573 576 579 582 585 588 591 594 597 600 603 606 609 612 615 618 620 623 626 629 632 635 638 641 644 647 650 653 656 659 662 665 668 671 674 677 680 683 686 689 692 695 698 701 704 707 710 713 716 719 722 725 728 731 734 737 740 743 746 749 752 755 759 762 766 769 773 777 780 784 788 791 795 798 802 806 809 813 817 821 825 829 833 837 841 845 849 853 857 861 865 869 873 877 881 885 888 892 896 900 904 908 912 916 920 924 928 932 936 940 944 948 952 956 960 964 968 972 976 980 984 988 992 996 1000 1004 1009 1013 1018 1022 1027 1032 1036 1041 1045 1050 1055 1059 1064 1068 1073 1078 1083 1087 1092 1097 1102 1107 1112 1117 1122 1127 1132 1137 1142 1147 1152 1157 1162 1167 1172 1177 1182 1187 1192 1197 1202 1207 1212 1217 1222 1227 1232 1237 1242 1247 1252 1257 1262 1267 1272 1277 1282 1287 1292 1297 1302 1307 1312 1317 1322 1327 1332 1337 1342 1348 1353 1358 1363 1368 1373 1379 1384 1389 1394 1399 1405 1411 1417 1423 1429 1435 1441 1447 1453 1459 1465 1471 1477 1483 1489 1494 1500 1506 1512 1518 1524 1530 1536 1542 1548 1554 1560 1566 1572 1578 1584 1590 1596 1602 1608 1614 1620 1626 1632 1638 1644 1650 1656 1662 1668 1674 1680 1686 1692 1698 1704 1710 1716 1722 1728 1734 1740 1746 1752 1758 1764 1770 1776 1782 1789 1796 1803 1810 1817 1824 1830 1837 1844 1851 1858 1865 1872 1879 1886 1893 1900 1907 1914 1921 1928 1935 1942 1949 1956 1963 1970 1977 1984 1991 1998 2005 2012 2019 2026 2033 2040 2047 2054 2061 2068 2075 2082 2089 2096 2102 2109 2116 2123 2130 2137 2144 2151 2158 2165 2172 2179 2186 2193 2200 2207 2214 2221 2228 2235 2243 2251 2259 2267 2275 2283 2291 2299 2307 2315 2323 2331 2339 2347 2355 2363 2371 2378 2386 2394 2402 2410 2418 2426 2434 2442 2450 2458 2466 2474 2482 2490 2498 2506 2514 2522 2530 2538 2546 2554 2562 2570 2578 2586 2594 2602 2610 2618 2626 2634 2642 2649 2657 2665 2673 2681 2689 2697 2705 2713 2721 2729 2737 2745 2754 2763 2772 2781 2790 2799 2808 2817 2826 2835 2844 2852 2861 2870 2879 2888 2897 2906 2915 2924 2933 2942 2951 2960 2969 2978 2987 2996 3005 3014 3023 3032 3041 3050 3059 3068 3077 3086 3095 3104 3113 3122 3130 3139 3148 3157 3166 3175 3184 3193 3202 3211 3220 3229 3238 3247 3256 3265 3274 3283 3292 3301 3310 3319 3328 3338 3348 3358 3368 3378 3388 3398 3407 3417 3427 3437 3447 3457 3467 3477 3487 3497 3507 3517 3527 3537 3546 3556 3566 3576 3586 3596 3606 3616 3626 3636 3646 3656 3666 3676 3685 3695 3705 3715 3725 3735 3744 3754 3764 3774 3784 3794 3804 3815 3826 3837 3847 3858 3869 3880 3891 3902 3913 3924 3935 3946 3956 3967 3977 3985 3992 4000 4007 4015 4022 4030 4037 4044 4052 4059 4067 4074 4082 4089 4095

 

14b lossy NEF files have even more repeated values...

 

Is this DNG Converter behaviour intentional?

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Lossy NEF LinearizationTable accuracy after DNG conversion?

Hi, I noticed somethig strange in LinearizationTable interpolation after conversion of lossy NEF files to DNG (using 11.4.1 for example). I was expecting a strictly increasing table, but the DNG conversion results in some repeated values, which is highly unexpected for a LUT of this purpose (assuming the theory described here is correct).

 

This is an example output from a D5600 12b lossy NEF converted to DNG and read by 'exiftool -LinearizationTable -b *.dng', where value 136 (supposedly in the purely linear portion of the curve) is repeated:

 

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 401 402 404 406 408 410 412 414 416 417 419 421 423 425 427 429 431 433 435 437 439 441 443 445 447 449 451 453 455 457 459 461 463 465 467 469 471 473 475 477 479 481 483 485 487 489 491 493 495 497 499 501 503 505 507 509 511 513 515 517 519 521 523 525 527 529 531 533 535 537 540 542 544 546 548 550 553 555 557 559 561 564 567 570 573 576 579 582 585 588 591 594 597 600 603 606 609 612 615 618 620 623 626 629 632 635 638 641 644 647 650 653 656 659 662 665 668 671 674 677 680 683 686 689 692 695 698 701 704 707 710 713 716 719 722 725 728 731 734 737 740 743 746 749 752 755 759 762 766 769 773 777 780 784 788 791 795 798 802 806 809 813 817 821 825 829 833 837 841 845 849 853 857 861 865 869 873 877 881 885 888 892 896 900 904 908 912 916 920 924 928 932 936 940 944 948 952 956 960 964 968 972 976 980 984 988 992 996 1000 1004 1009 1013 1018 1022 1027 1032 1036 1041 1045 1050 1055 1059 1064 1068 1073 1078 1083 1087 1092 1097 1102 1107 1112 1117 1122 1127 1132 1137 1142 1147 1152 1157 1162 1167 1172 1177 1182 1187 1192 1197 1202 1207 1212 1217 1222 1227 1232 1237 1242 1247 1252 1257 1262 1267 1272 1277 1282 1287 1292 1297 1302 1307 1312 1317 1322 1327 1332 1337 1342 1348 1353 1358 1363 1368 1373 1379 1384 1389 1394 1399 1405 1411 1417 1423 1429 1435 1441 1447 1453 1459 1465 1471 1477 1483 1489 1494 1500 1506 1512 1518 1524 1530 1536 1542 1548 1554 1560 1566 1572 1578 1584 1590 1596 1602 1608 1614 1620 1626 1632 1638 1644 1650 1656 1662 1668 1674 1680 1686 1692 1698 1704 1710 1716 1722 1728 1734 1740 1746 1752 1758 1764 1770 1776 1782 1789 1796 1803 1810 1817 1824 1830 1837 1844 1851 1858 1865 1872 1879 1886 1893 1900 1907 1914 1921 1928 1935 1942 1949 1956 1963 1970 1977 1984 1991 1998 2005 2012 2019 2026 2033 2040 2047 2054 2061 2068 2075 2082 2089 2096 2102 2109 2116 2123 2130 2137 2144 2151 2158 2165 2172 2179 2186 2193 2200 2207 2214 2221 2228 2235 2243 2251 2259 2267 2275 2283 2291 2299 2307 2315 2323 2331 2339 2347 2355 2363 2371 2378 2386 2394 2402 2410 2418 2426 2434 2442 2450 2458 2466 2474 2482 2490 2498 2506 2514 2522 2530 2538 2546 2554 2562 2570 2578 2586 2594 2602 2610 2618 2626 2634 2642 2649 2657 2665 2673 2681 2689 2697 2705 2713 2721 2729 2737 2745 2754 2763 2772 2781 2790 2799 2808 2817 2826 2835 2844 2852 2861 2870 2879 2888 2897 2906 2915 2924 2933 2942 2951 2960 2969 2978 2987 2996 3005 3014 3023 3032 3041 3050 3059 3068 3077 3086 3095 3104 3113 3122 3130 3139 3148 3157 3166 3175 3184 3193 3202 3211 3220 3229 3238 3247 3256 3265 3274 3283 3292 3301 3310 3319 3328 3338 3348 3358 3368 3378 3388 3398 3407 3417 3427 3437 3447 3457 3467 3477 3487 3497 3507 3517 3527 3537 3546 3556 3566 3576 3586 3596 3606 3616 3626 3636 3646 3656 3666 3676 3685 3695 3705 3715 3725 3735 3744 3754 3764 3774 3784 3794 3804 3815 3826 3837 3847 3858 3869 3880 3891 3902 3913 3924 3935 3946 3956 3967 3977 3985 3992 4000 4007 4015 4022 4030 4037 4044 4052 4059 4067 4074 4082 4089 4095

 

14b lossy NEF files have even more repeated values...

 

Is this DNG Converter behaviour intentional?

Topics

Camera support, DNG
View all replies

Views

14

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