Kent Tenney wrote:
> My use case:
>
> Several thousand images which have been color adjusted and
> sampled down.
>
Have they only been
* first downscaled by a well-know factor, using a downscaling method
which you can exactly reproduce now
* and then ONLY color adjusted
or were they possibly
* downsampled by an not exacatly known factor, or with an unknown
method, which you cannot reproduce exactly now
* cropped
* denoised
* sharpened
* or first color corrected, and then downscaled
* etc.
If the latter applies, this makes things more difficult. For
establishing the color mapping you basically need two exactly registered
images of the same size, which differ ONLY by the color transformation,
but NO OTHER image manipulations, particularly no spatial ones, must
have been applied to the second image. Otherwise you can only try to to
register the source and destination image first, and/or to blur both
ones before establishing the color mapping. But this would of course
distort the resulting color mapping more or less.
Regards,
Gerhard
> 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.
>
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