On 8/4/07, Marti Maria <[EMAIL PROTECTED]> wrote:
> Hi,
>
> In general, you cannot do that because the transform should describe all
> colors, and the image may miss some.

My use case:

Several thousand images which have been color adjusted and
sampled down.

I want to color correct the originals and keep keep them full size.
I would want to script this using the Python lcms bindings and the
Python Imaging Library.
My guess is that I'd sample down the original to the same size as the
color adjusted image, derive a color map from those 2 files, then apply
the map to the original.

So, it would not be necessary to map all colors, only the ones which
exist in the original.

Does this make any sense?

Thanks,
Kent

 You can, however, use images with added
> patches sampling all color space, and then build a color map with the
> transform. I think Kodak has some patents on this method. ICC way does not
> use that but instead a device independent color space (Lab or XYZ).
>
> Regards
> Marti
>
>
> On 04/08/2007 13:56:48, Kent Tenney ([EMAIL PROTECTED]) wrote:
> > Howdy,
> >
> > I know nothing about profiling, wonder if lcms can
> > help me with a need of mine.
> >
> > Given an image and another version which has been
> > color adjusted, is it possible to generate a profile which
> > describes the transform?
> >
> > Thanks,
> > Kent
> >
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