Datacolor User to User Support Group.

These are not end user issues, they are scientific issues. Taking any  
two measurement sets from the DC1005, building profiles from them, and  
making prints from them, would result in equally good, and virtually  
indistinguishable, prints. If they did not, then THAT would be an end  
user issue. If you feel the need to discuss scientific issues, you  
would have to contact me privately, as they are not appropriate for me  
to comment on in a public forum.

Have you compared profile results with Spyder3Print and the Colormunki  
on actual photographs, and tried to make adjustments to the profiles  
using each package? You may find some real world differences there;  
especially printing with any intent other then Percepual, from non- 
Adobe applications (or with BPC turned off)... or basicly any  
adjustments you wished to make, as the Munki has no editing functions.

C. D. Tobie
Global Product Technology Mngr.
Digital Imaging & Home Theater
Datacolor.com
CDTobie@...

On Apr 13, 2009, at 4:15 AM, "shse100" <shse100@...> wrote:

> I alredy ask about repeatability of sequental measurements of patches
> with Datacolor 1005 Spectrocolorimeter. But now i want to provide
> examples from measurements of some patches from "Expert" target from
> Spyder3 Print and as alternative - example of measurements some
> patches from some target, produced with ColorMunki device.
>
> Datacolor #1005 measurements:
>
> A1(R=0 G=0 B=0)
>
> 10,67   1,21    -3,36
> 11,28   1,03    -4,58
> 10,49   -1,18   -3,66
> 10,76   1,82    -3,78
> 11,16   1,11    -4,73
> 11,41   1,21    -3,89
> 10,63   -0,18   -2,72
> 11,63   1,30    -4,06
> 10,75   1,87    -3,80
> 10,52   -1,04   -4,30
>
>
> J3(R=64 G=128 B=255)
>
> 28,95   11,25   -56,55
> 28,64   11,21   -56,97
> 28,58   10,33   -57,06
> 28,72   10,25   -56,89
> 28,52   10,87   -57,24
> 28,58   10,33   -57,06
> 28,92   10,81   -56,53
> 28,67   10,40   -57,03
> 28,99   10,95   -56,39
> 28,95   11,13   -56,40
>
>
> K6(R=0 G=0 B=32)
>
> 12,19   1,66    -7,06
> 13,27   3,28    -7,50
> 12,87   3,78    -6,50
> 12,95   2,82    -7,56
> 12,95   2,82    -7,56
> 12,35   3,27    -6,24
> 12,02   1,83    -7,83
> 12,87   3,78    -6,50
> 11,96   2,06    -6,44
> 12,13   1,79    -7,64
>
>
> O8(R=160 G=160 B=160)
>
> 53,30   2,70    -1,26
> 53,12   3,01    -1,49
> 53,21   3,05    -1,53
> 53,19   3,15    -1,50
> 53,09   3,20    -1,57
> 53,14   2,72    -1,46
> 53,11   2,75    -1,50
> 53,10   3,18    -1,47
> 53,20   2,96    -1,44
> 53,09   2,80    -1,51
>
>
> O15(R=250 G=250 B=160)
>
> 94,21   -10,22  56,84
> 93,96   -10,48  56,65
> 94,03   -10,61  56,65
> 93,94   -10,21  56,44
> 93,93   -10,23  56,49
> 93,94   -10,21  56,49
> 93,93   -10,23  56,49
> 93,98   -10,59  56,64
> 93,97   -10,19  56,45
> 93,93   -10,40  56,51
>
>
> J10(R=255 G=255 B=255)
>
> 96,10   0,31    -3,16
> 95,84   0,70    -3,75
> 95,81   0,76    -3,64
> 95,80   0,73    -3,62
> 95,83   0,41    -3,39
> 95,78   0,77    -3,67
> 95,79   0,77    -3,77
> 95,84   0,79    -3,80
> 95,87   0,39    -3,51
> 95,77   0,67    -3,52
>
> --------------------------------------------------------
>
> ColorMunki measurements:
>
> 18.344579   -4.197238   -5.567454
> 18.343532   -4.106431   -5.744393
> 18.328983   -4.162678   -5.656474
> 18.333742   -4.133364   -5.714134
> 18.333495   -4.138016   -5.745178
> 18.337914   -4.098998   -5.849859
> 18.353175   -4.038141   -5.939542
> 18.347097   -4.076881   -5.923986
> 18.344741   -4.066106   -5.878663
> 18.348605   -4.073761   -5.902862
>
> 13.80768    1.557991    -7.400747
> 13.810664   1.590149    -7.49589
> 13.834194   1.624053    -7.558801
> 13.842989   1.726198    -7.642539
> 13.825869   1.686833    -7.64691
> 13.85195    1.732939    -7.73475
> 13.828742   1.637076    -7.652472
> 13.848618   1.661586    -7.743042
> 13.838693   1.703341    -7.71728
> 13.90938    1.732326    -7.783151
>
> 10.248078   1.951686    -1.794943
> 10.243042   2.047706    -1.931359
> 10.259325   1.957048    -1.880706
> 10.234879   2.069837    -1.934353
> 10.24916    2.046984    -2.017179
> 10.236114   2.034214    -1.96668
> 10.29962    2.161975    -2.18757
> 10.256106   2.164409    -2.221574
> 10.306447   2.153574    -2.094811
> 10.251231   2.123706    -2.186927
>
> 16.301602   -1.151456   -4.355149
> 16.326025   -1.068774   -4.44593
> 16.309998   -1.031753   -4.509669
> 16.33473    -1.023708   -4.599546
> 16.30897    -1.036671   -4.599078
> 16.312707   -1.055263   -4.51338
> 16.312889   -1.037836   -4.621148
> 16.309175   -0.932776   -4.67642
> 16.334348   -0.918591   -4.823798
> 16.315873   -0.929981   -4.716843
>
> 31.811597   -0.193555   -3.424424
> 31.827281   -0.168585   -3.48808
> 31.832341   -0.164854   -3.561049
> 31.793958   -0.158834   -3.598282
> 31.786956   -0.151294   -3.64158
> 31.80376    -0.121975   -3.702579
> 31.787975   -0.103552   -3.732002
> 31.83624    -0.075051   -3.785392
> 31.805398   -0.082902   -3.805677
> 31.821586   -0.026888   -3.890967
>
> 55.644015   -0.989526   -1.868513
> 55.649374   -0.940589   -1.99876
> 55.650332   -0.892803   -2.131446
> 55.655841   -0.866657   -2.209694
> 55.661475   -0.840934   -2.295391
> 55.65305    -0.814027   -2.36555
> 55.653963   -0.802287   -2.41708
> 55.66172    -0.760359   -2.49588
> 55.641186   -0.74504    -2.562128
> 55.633704   -0.739213   -2.591971
>
> 76.870702   -1.050988   -4.017105
> 76.855662   -1.03013    -4.095053
> 76.857429   -1.007679   -4.145366
> 76.868472   -0.992387   -4.194182
> 76.864472   -0.980221   -4.233341
> 76.883234   -0.969362   -4.252123
> 76.886944   -0.95965    -4.283157
> 76.89566    -0.950612   -4.312075
> 76.902863   -0.943134   -4.324555
> 76.890463   -0.931744   -4.334338
>
> 83.838405   -0.769785   -4.422837
> 83.84227    -0.754441   -4.465959
> 83.838596   -0.7461     -4.5144
> 83.836713   -0.744711   -4.539831
> 83.847566   -0.734076   -4.550682
> 83.84795    -0.737853   -4.561577
> 83.848766   -0.728248   -4.58535
> 83.848189   -0.72251    -4.597451
> 83.851973   -0.723732   -4.593934
> 83.847681   -0.708867   -4.610445
>
> 87.111205   -0.036352   -3.743976
> 87.116205   -0.030691   -3.785026
> 87.124458   -0.036481   -3.801298
> 87.123978   -0.019137   -3.83278
> 87.132456   -0.021995   -3.826653
> 87.13614    -0.021321   -3.839122
> 87.13978    -0.021898   -3.841523
> 87.138844   -0.011398   -3.854562
> 87.143476   -0.011007   -3.849595
> 87.142585   -0.00389    -3.853713
>
> 92.752024   0.388926    -1.53659
> 92.76475    0.394979    -1.57019
> 92.771433   0.396068    -1.576884
> 92.775266   0.398602    -1.592354
> 92.780564   0.401761    -1.599882
> 92.78128    0.400221    -1.598482
> 92.777146   0.398004    -1.599897
> 92.783494   0.393945    -1.592471
> 92.780553   0.396018    -1.599907
> 92.801334   0.406186    -1.57051
>
> This examples in L a b columns format.
>
> As you can see, ColorMunki hath more stable measurements, than
> Datacolor #1005. Any comments?
>
> Did you plan to introduce "average" measurements futures in software,
> when, for example, the software produce several automatic
> measurements for one patch and then produce average value for one
> patch measurements for more measurement stability?
>
> As i think, Datacolor #1005 can provide spectral values for
> measurements. Did you plan to provide "export" functionality of
> spectral measurements, that can be useful to use with another profile
> builder and color/spectral analisyng software?
>
> It will be useful, if Colorvision develop some measure tool for
> Datacolor #1005 to use with user constructed charts for visual
> measurement control capability.
>
> Many thanks.
>
> Sergey.
>
>
>
> ------------------------------------
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