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Author Topic: DCamProf - a new camera profiling tool  (Read 337618 times)

scyth

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Re: DCamProf - a new camera profiling tool
« Reply #1520 on: March 13, 2017, 07:44:41 PM »

and the 2nd page from Passport, done the same way

Quote
CGATS.17
DESCRIPTOR   "X-Rite Passport S/N 008784, Creative Page, 3 passes/averaged, 380nm : 10.0nm : 730nm, with i1Pro2"
ORIGINATOR   "BabelColor PatchTool, version 5.1.0 b409"
LGOROWLENGTH   1
CREATED   "2017-03-13"  # Time: 19:40:26
INSTRUMENTATION   "i1Pro2, S/N 1044184, with 'Lamp Restore' before each pass"
MEASUREMENT_SOURCE   "Illumination=D50 ObserverAngle=2 WhiteBase=Abs Filter=No"
ILLUMINATION_NAME   "D50"
OBSERVER_ANGLE   "2"
FILTER   "Unknown"
MEASUREMENT_CONDITION   "M0"
WEIGHTING_FUNCTION   "ILLUMINANT, D50"
WEIGHTING_FUNCTION   "OBSERVER, 2 degree"
KEYWORD   "DEVCALSTD"
DEVCALSTD   "XRGA"
#
KEYWORD   "SAMPLE_ID"
NUMBER_OF_FIELDS   42
BEGIN_DATA_FORMAT
SAMPLE_ID   LAB_L   LAB_A   LAB_B   LAB_C   LAB_H   nm380   nm390   nm400   nm410   nm420   nm430   nm440   nm450   nm460   nm470   nm480   nm490   nm500   nm510   nm520   nm530   nm540   nm550   nm560   nm570   nm580   nm590   nm600   nm610   nm620   nm630   nm640   nm650   nm660   nm670   nm680   nm690   nm700   nm710   nm720   nm730
END_DATA_FORMAT
NUMBER_OF_SETS   26
BEGIN_DATA
1   96.5548   -0.6254   4.1612   4.21   98.5   0.140893   0.225553   0.400790   0.629710   0.780420   0.827160   0.843943   0.857770   0.870197   0.878327   0.885030   0.892020   0.897290   0.901187   0.905963   0.909493   0.912897   0.915233   0.915487   0.919813   0.919753   0.920713   0.920937   0.921637   0.922083   0.921763   0.922767   0.924107   0.925520   0.924523   0.923483   0.922283   0.923963   0.924817   0.923673   0.925643
2   88.7632   -0.6293   0.9117   1.11   124.6   0.138153   0.221877   0.387210   0.583320   0.688640   0.713667   0.722277   0.729750   0.734867   0.736927   0.738467   0.740817   0.742053   0.741683   0.740830   0.739413   0.738887   0.737473   0.733510   0.733700   0.733463   0.734903   0.734360   0.733423   0.733473   0.735103   0.739147   0.743440   0.745827   0.743723   0.741073   0.739050   0.741080   0.743920   0.745370   0.749690
3   81.0773   -0.5659   0.8842   1.05   122.6   0.133160   0.212320   0.354053   0.495790   0.557083   0.570573   0.577293   0.582387   0.583610   0.581687   0.579873   0.580333   0.581670   0.582653   0.584593   0.586517   0.588217   0.588847   0.588153   0.590280   0.589333   0.588330   0.586213   0.584343   0.582133   0.579523   0.577593   0.576377   0.575013   0.572120   0.569307   0.566713   0.566063   0.564730   0.561900   0.561367
4   73.7462   -0.5054   0.7985   0.95   122.3   0.129003   0.199843   0.312950   0.407713   0.441440   0.450047   0.456157   0.460960   0.461527   0.458937   0.456710   0.456827   0.457887   0.459050   0.461120   0.463167   0.464643   0.465407   0.465287   0.467337   0.466950   0.466203   0.464130   0.462050   0.459477   0.456467   0.454120   0.452260   0.450360   0.447200   0.444087   0.441030   0.439897   0.438040   0.435013   0.433627
5   27.6753   -0.8456   -0.1391   0.86   189.3   0.043153   0.048493   0.050943   0.051857   0.052487   0.053103   0.053987   0.054217   0.054147   0.053513   0.053217   0.053240   0.053537   0.053690   0.054100   0.054333   0.054440   0.054283   0.053910   0.053677   0.053183   0.052760   0.052317   0.051920   0.051570   0.051183   0.050873   0.050693   0.050350   0.050063   0.049707   0.049447   0.049433   0.049293   0.049097   0.048990
6   25.5330   -0.7520   -0.5673   0.94   217.0   0.040580   0.043570   0.045467   0.045857   0.046300   0.046877   0.047297   0.047533   0.047323   0.046807   0.046510   0.046423   0.046523   0.046563   0.046683   0.046783   0.046813   0.046557   0.046183   0.046040   0.045570   0.045123   0.044807   0.044543   0.044257   0.043977   0.043787   0.043720   0.043543   0.043330   0.043067   0.042900   0.043013   0.042883   0.042543   0.042583
7   22.2771   -0.3065   -0.6362   0.71   244.3   0.035103   0.036960   0.036780   0.036957   0.036640   0.036987   0.037147   0.037297   0.037197   0.036873   0.036630   0.036607   0.036473   0.036363   0.036313   0.036277   0.036270   0.036163   0.035953   0.035950   0.035733   0.035507   0.035353   0.035253   0.035227   0.035103   0.034970   0.035103   0.035077   0.035020   0.035003   0.034950   0.034993   0.034947   0.035003   0.035030
8   20.2239   0.0599   -0.4889   0.49   277.0   0.028710   0.030307   0.031663   0.031533   0.031547   0.031460   0.031423   0.031330   0.031147   0.030963   0.030863   0.030743   0.030817   0.030667   0.030530   0.030450   0.030480   0.030443   0.030403   0.030460   0.030307   0.030270   0.030283   0.030317   0.030310   0.030387   0.030380   0.030470   0.030600   0.030597   0.030673   0.030573   0.030707   0.030793   0.030783   0.030913
9   80.8678   -5.4030   -6.2711   8.28   229.3   0.125737   0.212553   0.373297   0.546197   0.628037   0.645490   0.651177   0.656050   0.659020   0.658587   0.657203   0.656237   0.653950   0.648917   0.641793   0.631237   0.617293   0.597647   0.572253   0.551583   0.537667   0.530687   0.523400   0.519233   0.523327   0.535300   0.549910   0.561430   0.566267   0.560540   0.549517   0.540280   0.540987   0.547300   0.554517   0.565230
10   80.9682   -2.9907   -2.8847   4.16   224.0   0.128373   0.212130   0.368620   0.531633   0.603577   0.615483   0.617833   0.619973   0.620633   0.619030   0.617050   0.616070   0.614403   0.611140   0.607447   0.602950   0.598113   0.592200   0.584743   0.580480   0.574447   0.568463   0.558913   0.549947   0.545380   0.543273   0.544277   0.549830   0.557403   0.558687   0.553730   0.545010   0.534563   0.526840   0.530740   0.551910
11   80.6218   -0.1689   1.2925   1.30   97.4   0.118163   0.201253   0.348007   0.487813   0.545233   0.557353   0.562510   0.567110   0.570237   0.571017   0.571493   0.572820   0.573993   0.574127   0.574850   0.576023   0.577430   0.578273   0.578030   0.580567   0.580413   0.580700   0.580337   0.580230   0.579737   0.578877   0.578857   0.579383   0.579767   0.578470   0.577323   0.576047   0.577000   0.577503   0.576320   0.577000
12   81.2019   4.8042   0.8064   4.87   9.5   0.125867   0.207260   0.351230   0.488433   0.547203   0.565000   0.578197   0.588250   0.591710   0.589627   0.586403   0.584523   0.582863   0.578857   0.572470   0.567437   0.566213   0.563120   0.554403   0.558877   0.591153   0.625873   0.640160   0.643973   0.643943   0.642840   0.642967   0.643850   0.644067   0.642253   0.640803   0.639340   0.640043   0.640040   0.638387   0.638900
13   80.7173   6.5494   0.6135   6.58   5.4   0.127173   0.207947   0.349687   0.483917   0.540930   0.558237   0.572083   0.582710   0.586010   0.582897   0.578583   0.575737   0.572753   0.566893   0.559743   0.555757   0.553707   0.545927   0.532197   0.535637   0.578737   0.628100   0.649237   0.654977   0.655563   0.654327   0.653600   0.653360   0.653013   0.650897   0.648930   0.647060   0.647447   0.647327   0.645220   0.645590
14   81.2981   -10.5471   -4.5884   11.50   203.5   0.124530   0.209933   0.366283   0.525637   0.596030   0.614210   0.625327   0.636833   0.647897   0.658067   0.666973   0.674473   0.678147   0.676597   0.670213   0.658327   0.642257   0.620413   0.592480   0.567587   0.545037   0.527690   0.509217   0.494310   0.487327   0.485087   0.487057   0.496143   0.508840   0.513320   0.507320   0.495187   0.479303   0.467073   0.473140   0.505050
15   80.7653   -7.4942   -2.7829   7.99   200.4   0.123130   0.206823   0.357753   0.509577   0.577527   0.593943   0.602287   0.610800   0.618520   0.623520   0.626127   0.628187   0.628557   0.626650   0.624080   0.619983   0.614483   0.605733   0.592600   0.579683   0.563243   0.546023   0.526170   0.509730   0.499980   0.494953   0.492777   0.493933   0.498833   0.504060   0.508190   0.509790   0.508950   0.505850   0.505413   0.514730
16   81.1494   -5.4864   -1.4474   5.67   194.8   0.120073   0.203480   0.354580   0.505583   0.572237   0.588510   0.596273   0.603750   0.610570   0.614913   0.617163   0.619310   0.620063   0.618823   0.617547   0.615227   0.611813   0.606267   0.597050   0.588657   0.576640   0.564033   0.548850   0.536123   0.528543   0.524550   0.523080   0.524407   0.528527   0.532457   0.535673   0.537017   0.537013   0.535163   0.534617   0.541990
17   82.0943   -2.7244   -0.0614   2.73   181.3   0.121517   0.204463   0.357043   0.511110   0.579413   0.594537   0.600833   0.607150   0.612300   0.615047   0.616737   0.618923   0.619987   0.619523   0.619010   0.617740   0.616400   0.613863   0.608850   0.605740   0.599673   0.594020   0.586930   0.580867   0.577263   0.575207   0.574807   0.576307   0.578857   0.579453   0.579473   0.578277   0.577530   0.575987   0.575700   0.581363
18   81.2087   -0.1052   1.5835   1.59   93.8   0.117147   0.198437   0.345563   0.488353   0.548757   0.562637   0.568443   0.574167   0.578530   0.579827   0.580763   0.582697   0.583963   0.584163   0.585027   0.585990   0.587157   0.588147   0.588180   0.591060   0.591343   0.592000   0.591860   0.592130   0.592007   0.591490   0.591773   0.592673   0.593410   0.592447   0.591590   0.590737   0.592043   0.592627   0.591817   0.592913
19   51.5034   54.5887   -2.4594   54.64   357.4   0.108013   0.158267   0.220920   0.255583   0.260867   0.254707   0.242003   0.226783   0.209163   0.190540   0.170360   0.150557   0.135547   0.122053   0.104257   0.089443   0.085727   0.089313   0.091203   0.097897   0.127927   0.198047   0.305997   0.435530   0.570467   0.687390   0.771393   0.822300   0.849733   0.862910   0.870203   0.874870   0.881623   0.887117   0.889517   0.894133
20   50.6334   28.7382   -29.0639   40.87   314.7   0.109620   0.185790   0.306527   0.404990   0.442903   0.446720   0.433840   0.410857   0.379873   0.344223   0.303430   0.260653   0.225987   0.195877   0.162223   0.136717   0.129777   0.132890   0.131807   0.137367   0.165387   0.213693   0.257573   0.273440   0.266527   0.270040   0.304143   0.366463   0.442797   0.513293   0.564877   0.604030   0.640677   0.673493   0.700223   0.726263
21   50.6650   -3.7311   -50.6936   50.83   265.8   0.097310   0.166700   0.284490   0.401947   0.468600   0.515773   0.569447   0.619413   0.636747   0.620427   0.577037   0.510810   0.438137   0.365617   0.293263   0.236050   0.195940   0.161290   0.130487   0.111327   0.103667   0.101463   0.098623   0.096377   0.098847   0.108580   0.124727   0.142693   0.155053   0.153797   0.140803   0.129527   0.129707   0.138733   0.152733   0.173857
22   60.9219   -29.3765   -27.6237   40.32   223.2   0.100430   0.163507   0.252987   0.327893   0.368377   0.399527   0.437150   0.486507   0.546597   0.605157   0.637683   0.641770   0.618013   0.568740   0.499220   0.421757   0.347423   0.279397   0.222913   0.186077   0.166210   0.153860   0.141773   0.133243   0.132477   0.138590   0.147347   0.155340   0.161937   0.164907   0.162423   0.159083   0.161860   0.168967   0.176777   0.189640
23   61.0045   -61.3012   28.8176   67.74   154.8   0.052780   0.061547   0.066247   0.069703   0.072353   0.076060   0.081903   0.092090   0.110827   0.145473   0.200163   0.280353   0.383980   0.489203   0.542017   0.523047   0.461950   0.381563   0.301170   0.233427   0.177403   0.133077   0.101747   0.084890   0.077660   0.074713   0.073370   0.073120   0.075430   0.080757   0.088027   0.095370   0.100873   0.102103   0.100827   0.104087
24   86.4316   3.0124   86.1147   86.17   88.0   0.051887   0.053957   0.056090   0.057220   0.057930   0.059423   0.062730   0.068073   0.076963   0.091503   0.110143   0.131623   0.163533   0.246240   0.428117   0.629850   0.750763   0.803923   0.823930   0.834123   0.832913   0.825750   0.812447   0.800790   0.794800   0.792840   0.793887   0.797030   0.804267   0.814207   0.825233   0.834313   0.842753   0.846837   0.846020   0.849807
25   73.6552   35.9368   68.7293   77.56   62.4   0.059320   0.065073   0.069820   0.071130   0.071143   0.071290   0.072207   0.073917   0.075410   0.076567   0.077763   0.080587   0.090060   0.123823   0.189577   0.248023   0.284807   0.326137   0.403140   0.528787   0.661220   0.754607   0.802203   0.823770   0.833443   0.837840   0.841633   0.844973   0.847730   0.847823   0.848173   0.848247   0.851023   0.852930   0.852340   0.854683
26   52.0205   56.8288   29.8147   64.18   27.7   0.069217   0.079083   0.085970   0.087753   0.087043   0.086137   0.085653   0.085167   0.084113   0.082347   0.080493   0.078767   0.077173   0.075023   0.073073   0.073013   0.074583   0.077890   0.083693   0.098093   0.147960   0.260060   0.411763   0.555000   0.656257   0.712493   0.742663   0.761870   0.777110   0.789480   0.802077   0.814607   0.828890   0.840980   0.848977   0.857423
END_DATA

consistency (worst off measurement vs averaged one) :

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torger

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Re: DCamProf - a new camera profiling tool
« Reply #1521 on: March 14, 2017, 03:26:50 AM »

Thank you very much. Actually I'm not that worried about having the "perfect measurement" for these, because as can be seen in BabelColor's multi-measurements there are quite significant variations between colorcheckers even if made in the same time period. If one wants perfect there's no way around measuring one's own copy, and then it's probably better to use a larger target like the colorchecker classic as the larger patches are easier to measure.
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jrp

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Re: DCamProf - a new camera profiling tool
« Reply #1522 on: March 19, 2017, 11:08:01 AM »

I've just noticed that DXOmark publishes colour response data "Sensitivity metamerism index", "White balance scales" and colour matrix (ISO 17321), for daylight and tungsten.

https://www.dxomark.com/About/In-depth-measurements/Measurements/Color-sensitivity

Example: https://www.dxomark.com/Cameras/Leica/SL-Typ-601---Measurements

Are these measurements of any use with DCamProf or do they do nothing much more than replicate the embedded profiles in DNG raws?
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Jack Hogan

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Re: DCamProf - a new camera profiling tool
« Reply #1523 on: March 19, 2017, 12:40:04 PM »

I've just noticed that DXOmark publishes colour response data "Sensitivity metamerism index", "White balance scales" and colour matrix (ISO 17321), for daylight and tungsten.

Are these measurements of any use with DCamProf or do they do nothing much more than replicate the embedded profiles in DNG raws?

Not particularly useful imho, that's why they do not promote the Color Response tab.  Deriving the white balanced raw to sRGB matrices may yield some insights but I do not believe it does anything for DCamProf other than provide a reference.  More on how those matrices are obtained here.

Jack
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jrp

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Re: DCamProf - a new camera profiling tool
« Reply #1524 on: March 19, 2017, 12:55:20 PM »

Shame. I was hoping to avoid some of the tedious bits of camera calibration.
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torger

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Re: DCamProf - a new camera profiling tool
« Reply #1525 on: March 20, 2017, 05:18:54 AM »

I haven't personally thought about those numbers, if I remember correctly someone in the RawTherapee project derived color matrices from them, but I'm not sure.

I don't think they have any relation to the DNG raw color matrices, but they are the result of actual measurements they do according to some standard protocol. DCamProf can also derive matrices from measurements so it wouldn't be a help to DCamProf but rather a replacement :).
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jrp

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Re: DCamProf - a new camera profiling tool
« Reply #1526 on: March 20, 2017, 02:55:33 PM »

I was not expecting a replacement but some data that would obviate the tedious measurement task.
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torger

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Re: DCamProf - a new camera profiling tool
« Reply #1527 on: March 21, 2017, 03:34:36 AM »

They do provide some sort of matrix, if one has access to the ISO document one could find out exactly what type of matrix it is and how it's derived. In any case it can almost certainly be transformed into a matrix used for a matrix-only DCP or DNG profile, and then you can use the json2dcp or json2icc commands in DCamProf to make a profile.
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