diff --git a/articles/Pattern Noise DSNU and PRNU - Learn/Pattern Noise DSNU and PRNU - Learn.xopp.xml b/articles/Pattern Noise DSNU and PRNU - Learn/Pattern Noise DSNU and PRNU - Learn.xopp.xml
index 6a8c32d..cb39c0c 100644
--- a/articles/Pattern Noise DSNU and PRNU - Learn/Pattern Noise DSNU and PRNU - Learn.xopp.xml
+++ b/articles/Pattern Noise DSNU and PRNU - Learn/Pattern Noise DSNU and PRNU - Learn.xopp.xml
@@ -29,8 +29,6 @@
80.92337708 733.26536160 146.52865571 733.26536160
217.96307754 735.46576840 304.45080728 735.46576840
373.86656202 735.93547772 435.11334915 735.93547772
- 517.34824578 733.65385885 544.17312817 735.63610280
- 81.83289721 755.61853605 114.83869928 755.61853605
123.01812290 762.06336247 264.26427684 762.06336247
435.89772397 755.68278117 530.74168179 755.68278117
82.33816833 775.44780820 196.22396829 775.44780820
@@ -42,6 +40,11 @@
dark current (Bruit d’obscurité): Certains des électrons accumulés sur le puits de potentiel résultent d’une cause ther-
mique. Ces électrons sont connus sous le nom de courant d’obscurité, car ils sont
61.12543646 677.18374022 10.91941186 794.50088833
+ 78.86959681 696.33468983 255.17795392 696.33468983
+ 515.35274927 733.60028686 543.15316803 733.60028686
+ 79.03078281 755.00878062 113.62617565 755.00878062
+ 291.15663410 695.44081828 519.80825644 695.44081828
+ 102.95750412 714.24345250 317.97315561 714.24345250
@@ -52,31 +55,297 @@ photon shot noise (Bruit photonique (shot noise)): fluctuations du nombre de ph
de leur émission indépendante les uns des autres
Source: https://books.google.fr/books?id=2Ws3EAAAQBAJ&pg=PA24
+ 176.25964915 480.18920807 212.57107475 480.18920807
+ 302.03730858 482.46163269 470.91706930 482.46163269
+ ?
+ 118.88194783 500.93955621 154.76541236 500.93955621
+ 212.43609422 500.93579597 390.44660327 500.93579597
+ 399.32776035 498.29197861 476.17914501 498.29197861
+ 186.98943243 517.72495789 405.43261006 517.72495789
+ 51.84099640 562.47182111 297.78999649 562.47182111
+ 322.38576933 563.69456485 527.59389355 563.69456485
+ 51.68495780 586.42807408 312.64962653 586.42807408
+ 52.33629371 638.35514335 227.54829244 638.35514335
+ 51.61483157 678.25409096 530.13977232 678.25409096
+ 49.75439426 700.96279176 326.17972746 700.96279176
+ CMOS: Complementary metal–oxide–semiconductor
+ 423.87810871 700.67976472 538.26381709 700.67976472
+ 50.78432239 720.36364847 176.62039263 720.36364847
+ 204.17101235 719.38754454 518.80010559 719.38754454
+ 52.28606926 741.05954188 511.71054614 741.05954188
+ 50.58335577 759.76853690 494.07540032 759.76853690
+ not new thing compared to previous expression, right?
+ 285.75894351 779.38292494 538.54890386 779.38292494
+ ?
+ see Fig 2 for this line reason
-
+
+ ?
+ 104.93369500 46.29110771 223.01763519 46.29110771
+ 52.59642683 78.55027426 294.08869462 78.55027426
+ 80.65195177 107.68699503 267.10391338 107.68699503
+ 80.90700627 126.55192546 289.79333599 126.55192546
+ 107.29290327 161.99067515 154.63233461 161.99067515
+ 285.56038436 162.46524527 506.07235359 162.46524527
+ 90.69280818 181.65708753 112.05948681 181.65708753
+ 163.10180389 181.37488591 344.94864216 181.37488591
+ 398.75015041 185.86140553 430.07214530 181.99018999
+ and why signal vs response?
+ 56.26081758 235.36981343 521.94229553 235.36981343
+ I guess talk about random noise in general otherwise the sum cannot converge to 0
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+ 108.99351881 319.12806946 400.51107442 319.12806946
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+ 446.96145806 338.16276109 489.89850819 338.16276109
+ 50.51467403 356.65916483 284.49758959 356.65916483
+ 341.44813543 358.92934247 368.53299862 358.92934247
+ 434.32878570 358.95506804 505.95454871 358.95506804
+ 204.29764539 376.94111057 492.51636590 376.94111057
+ 248.52266032 398.36905900 513.64486361 398.36905900
+ some have zeros, no?
+otherwise the offset is not perfect
+ 52.30965102 418.11056159 173.25865636 418.11056159
+ 309.74025712 418.13821313 332.93724889 418.13821313
+ 105.90785003 450.72789124 447.25147812 450.72789124
+ 487.88908422 450.27971160 506.32211430 450.27971160
+ 50.61099585 469.11079986 128.00948344 469.11079986
+ 138.05845104 478.11525088 500.78019671 478.11525088
+ 100.26640860 490.10402757 209.51518080 490.10402757
+ 374.53726089 490.04817421 399.22192328 488.64177472
+ 404.46200468 509.50282073 430.35526405 507.19022572
+ 390.66024173 297.88341221 534.33815826 297.88341221
+ 50.55127838 317.12996783 73.88282210 317.12996783
+ but then it is not a fixed pattern, no?
+ 50.30927101 377.99054290 119.37105034 377.99054290
+
-
+
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+ 122.63959946 461.97135851 406.31147481 461.97135851
+ 442.30622461 462.85699605 476.55083341 462.85699605
+ 114.45421685 482.74135850 285.03728138 482.74135850
+ 318.87694395 483.48412563 395.15218944 483.48412563
+ 434.62798637 482.12214423 462.68698075 482.12214423
+ 108.90911879 502.97907324 480.75931100 502.97907324
+ 168.38598605 524.74621940 421.21417163 524.74621940
+ 110.65160463 236.81210971 312.62521149 495.03062305
+ 83.63059717 616.24792636 110.58228594 614.98870689
+ 129.89598527 616.63600816 265.46414539 616.63600816
+ 301.79998866 617.45656003 535.33692527 617.45656003
+ 50.50941588 636.04528965 122.17292489 636.04528965
+ 482.24146407 656.22084207 536.76220832 653.76365335
+ 48.22720775 675.73354032 353.93625678 675.73354032
+ why would some pixels have a different temperature than other pixels in the first place?
+Due to circuits or not uniform perceived illumination?
+ 219.85305935 636.22922741 548.43398239 636.22922741
+ 50.17548639 655.63525813 470.69627640 655.63525813
+ 123.52282816 708.14569005 548.02750532 708.14569005
+ 49.93212258 728.01985582 478.98744850 728.01985582
+ 48.06441172 747.07842775 104.52661052 747.07842775
+ redundant with no illumination?
+does 0 ms exposure makes sense?
+is it a typo?
+ why 0 ms exposure on Fig. 2, then?
+
-
+
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+ 188.82887384 58.51072041 225.22173635 58.51072041
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+ 51.76323298 119.93291957 278.13073315 119.93291957
+ 50.72621220 138.15676717 169.51890523 138.15676717
+ 52.55968468 160.51211660 166.86314615 160.51211660
+ 198.31126912 159.03168069 255.28762606 159.03168069
+ 49.44416714 177.78432890 216.16367342 177.78432890
+ 48.64364613 198.23142633 211.68645524 198.23142633
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+ 50.86842778 269.94736990 262.84321594 269.94736990
+ 51.43361838 292.41394731 118.60423874 292.41394731
+ so a single scalar for whole image(s)?
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+ 50.77083436 329.98542860 186.32324148 329.98542860
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+ 385.82028132 44.48812598 489.82969586 44.48812598
+ 316.84490522 97.08452805 316.84490522 146.39785504
+ 395.12357991 208.06464811 468.25361694 208.06464811
+ 402.71196579 260.09258543 516.24033206 260.09258543
+ 379.97346920 298.08870220 531.77016980 298.08870220
+ 324.41537675 319.08181297 533.93090745 319.08181297
+ 327.79342365 339.61226122 343.11407145 338.27308202
+ 342.29337926 367.55022125 547.85731363 367.55022125
+ ?
+ Analog to Digital Units
+https://www.cloudynights.com/topic/417383-what-is-adu/
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+ 52.20152639 620.49942624 404.77728583 620.49942624
+ 471.38494960 622.41813218 527.17620918 618.93538225
+ as it is not de/increasing the amount of pixels with the given deviation is exatcly the one specified
+ not due to electrons?
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+ 144.07245364 661.47711223 421.14696260 661.47711223
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+ 49.22092773 783.82664429 110.01190915 783.82664429
+
-
+
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+ 62.08439851 45.68541701 162.43089973 45.68541701
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+ 52.59156099 194.99269504 229.24882660 194.99269504
+ 398.33609451 203.14676263 483.56274794 203.14676263
+ -?
+ what value
+here then?
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+ 49.10553689 238.62663882 273.89813467 238.62663882
+ 49.60387610 259.54114632 260.95515274 259.54114632
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+ 208.31537879 279.24769836 238.54204351 279.24769836
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+ 50.07902723 316.95940736 281.77708007 316.95940736
+ 48.82028719 338.84082178 154.83451598 338.84082178
+ why?
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+ 50.10941847 358.33410892 236.24963949 358.33410892
+ 51.17974216 377.33781524 241.86773719 377.33781524
+ 53.13674411 398.73250203 228.13574389 398.73250203
+ 64.42871048 416.01095863 83.22214541 414.09613491
+ 228.98523619 450.56988310 245.83583274 446.05477936
+ 50.78360359 468.70408881 99.63063510 468.70408881
+ 170.19750995 470.03674307 261.51152938 470.03674307
+ 50.51161424 488.07330859 99.72063327 488.07330859
+ 135.56484667 490.69490704 226.81017600 490.69490704
+ 49.09508296 508.67805693 77.55113464 508.67805693
+ 202.35637983 509.36057947 258.59903877 509.36057947
+ 50.60986250 528.90564515 90.29990391 528.90564515
+ 53.75906883 550.59381383 119.05163198 547.69028661
+ 124.31351499 558.17221351 281.79448701 558.17221351
+ 51.02133117 578.32028636 194.59896504 578.32028636
+ 213.12556770 571.71054763 247.90614579 571.71054763
+ 50.94189765 590.60333000 267.82214037 590.60333000
+ 53.15576933 610.64403371 105.17563144 610.64403371
+ what would it looks like like Fig. 4?
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+ 260.51958298 685.73318309 379.04572310 685.73318309
+ 389.21483935 690.29731871 455.32042977 690.29731871
+ 518.56502175 709.82793130 92.91856826 709.82793130
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+ 399.60399052 724.60125609 535.43813196 724.60125609
+ 50.56873668 746.32427121 237.51500614 746.32427121
+ so as scientific? cf above
+
-
+
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+ 353.91408323 37.06515546 360.43682279 21.46325711
+ 53.53309316 46.04393779 186.92357641 46.04393779
+ 253.43022622 46.37406691 330.10531188 46.37406691
+ 374.97784575 46.30198856 490.36556280 46.30198856
+ 51.72268014 88.91373884 519.33314358 88.91373884
+ 50.77962782 106.99141848 274.22389052 106.99141848
+ 284.07774274 98.12319761 433.07846790 98.12319761
+ 466.27781754 99.30276138 532.29438720 99.30276138
+ 52.34376536 117.36127548 149.67799889 117.36127548
+ 183.93325267 124.43942992 394.70050410 124.43942992
+ ?
+ 284.81849860 156.97496880 526.73962242 156.97496880
+ 51.25970188 178.44079847 543.80904540 178.44079847
+ 51.23029289 198.60683243 120.09578044 198.60683243
+ 50.90619759 254.68074578 375.86343610 254.68074578
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+ 334.20816262 299.70433763 455.70319899 299.70433763
+ 465.64436066 294.21887611 503.40546273 296.33311970
+ 46.46651522 312.22957574 337.01168598 312.22957574
+ 420.65863216 314.91233086 533.83791096 314.91233086
+ 46.49169119 333.78490697 359.24391228 333.78490697
+ de base
+ 126.53115196 351.87037444 291.10855103 351.87037444
+ 198.11236375 373.02424659 284.40581841 373.02424659
+ 304.89192054 381.71962678 505.45271980 381.71962678
+ 53.59536071 398.17781215 286.47748020 398.17781215
+ 383.52906924 341.33140696 514.85506090 341.33140696
+ 49.32399369 363.43915955 121.77792534 363.43915955
+ 74.61785710 426.35228364 395.58460726 426.35228364
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+ 296.20683058 453.39723927 523.45715954 453.39723927
+ 49.86455790 472.92212208 91.82621695 472.92212208
+ ?
+ dissimuler
+ 308.09250784 515.26022254 523.55320760 515.26022254
+ 45.85663232 533.62612202 285.45730572 533.62612202
+ what decision?
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+ 484.47926052 621.91318618 538.83219230 621.91318618
+ 53.53876448 642.71033834 128.57100261 642.71033834
+ 291.49783667 642.30862200 545.44073197 642.30862200
+ 49.61652840 662.35146560 301.72588772 662.35146560
+ how precisely?
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+ 462.11495392 693.36165407 537.83133897 693.36165407
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+ 70.80628771 734.13699682 305.38755957 734.13699682
+ 500.97154395 731.73654466 529.94661831 735.10633599
+ 51.19804239 752.67359710 309.85333613 752.67359710
+ 318.04867441 760.78484332 496.21983570 760.78484332
+ 49.82708043 785.26018952 310.34475731 785.26018952
+ 465.75194029 784.69097639 540.55070300 784.69097639
+
-
+
+ 121.84477315 54.20576983 530.72474631 54.20576983
+ 51.61191990 77.30030819 404.96323303 77.30030819
+ 48.56278601 47.44048499 94.23525472 47.44048499
+