[argyllcms] Re: Something is wrong

  • From: Yves Gauvreau <gauvreau-yves@xxxxxxxxxxx>
  • To: argyllcms@xxxxxxxxxxxxx
  • Date: Mon, 9 Dec 2019 14:34:37 -0500

Roger,

I started from targen, printarg, etc.

I also reduce the number of patch (722) to 2 sheets instead of 3 (1083) just in case it would be just a waste of paper again. Seems I did something wrong and unfortunately I can't figure out what it was.

I think I have a useful profile and I can restate my original goal for doing all this. I trying to obtain a print that "looks" as much as is possible to the original image on my display. The usual method of doing this in Photoshop doesn't seem to be adequate as the print are even darker and flatter contrast wise then the softproof would suggest. The image dependent method seem to provide a much better "looking" softproof version but when I print the image it is still not as "good" looking as my display.

Maybe it's not possible to achieve better results via profiling software as Graeme suggested. I understand the ultimate best way to get the result I want is on a per image basis and I would like to find a method that is as objective as possible.

Thanks to all for their patience,
Yves

On 12/9/2019 1:41 PM, graxx@xxxxxxxxxxxx wrote:


Did you “reprint” the target?

Or did you simply “re-measure the same printed target”?

Whatever you did, you’re on the right track!

Your perseverance paid off.

/ Roger

*From:* argyllcms-bounce@xxxxxxxxxxxxx <argyllcms-bounce@xxxxxxxxxxxxx> *On Behalf Of *Yves Gauvreau
*Sent:* December 9, 2019 12:10 PM
*To:* argyllcms@xxxxxxxxxxxxx
*Subject:* [argyllcms] Re: Something is wrong

Still don't know why but I started from scratch and got much better results.

profcheck -k RR_PaloDuroSGR_PRO1000.ti3 RR_PaloDuroSGR_PRO1000.icm
Profile check complete, errors(CIEDE2000): max. = 1.504325, avg. = 0.417007, RMS = 0.479644

That seems very good!

Thanks,
Yves

PS I'll try this idea of measuring multiple times to see if I can get even better results.

On 12/9/2019 11:13 AM, Yves Gauvreau wrote:

    Roger,

    On 12/9/2019 7:22 AM, graxx@xxxxxxxxxxxx
    <mailto:graxx@xxxxxxxxxxxx> wrote:

        Yves,

            In general, to get the best results possible, should we
            just pruned out

        these

            outliers? Would taking multiple measures of the patches
            and use the

        average

            or the "median" be a good practice or just a waste of time?

        You need to understand what you're doing. In the context that
        the device

        (paper) is highly non-linear, *all* the patches are important
        to build a

        model of the output.

    Lut base profile are so sparse that it's impossible to capture the
    fine details of this non-linearity you speak of. I don't know how
    the CMMs compute their output when they need to interpolate
    between grid points but I doubt it is in a non-linear fashion. I
    believe these Lut are in PCS space, so gamma = 1.0 and I wouldn't
    be surprised if the interpolation was basically linear as well.

    Outliers are always a nuisance IMHO.

        Is there a way you can start with a tiny patch set? Instead of
        the full

        1000+?

        That way, less chances of errors. I seem to remember, a long
        time ago, that

        Argyll was able to make profiles from as low as 60 some
        patches. If that was

        still the case, you could make all the measurements one at a
        time (if the

        software allows manual reading) and analyze each patch. You
        need to better

        understand what you're measuring to be able to tell if there
        is something

        wrong with the generated profile. That's what I do. You have
        to understand

        the underlying device behavior from the measurements.

        / Roger

    Maybe I don't understand what you mean but I would believe a more
    robust approach then a patch by patch one, would be to measure all
    the patches several times and use "average(.exe)" to sort out
    which of these measure we will actually use (average, median or a
    Geometric Median). This should improve our chance of obtaining a
    measure that is closer to the real thing. Your approach, sound
    nice, but choosing a measure just because it's closer to the
    target isn't good practice IMHO, there is nothing to say that this
    measure is the best one or the worst for that matter. Maybe the
    printer is way off for this particular color or maybe it's an out
    of gamut color and the "best" measure should be farther away for
    this or that particular target.

    Yves

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