Hi, again:
Maybe I should clarify and add some more information, if I want to get
any help.
As I explained, my goal is to obtain a profile in which I can customize
somehow the sRGB to CMYK mapping.
This mapping does not need to be smooth, it's just the opposite, for I
want to to segment the RGB space in a manner related to the sum of the
rgb values.
The problem (and I am reformulating it correctly now) is ...that the
output is interpolated between nodes. So, if two nodes belong to two
different areas/segments, the values between them will not be receive
cmyk values pertaining to a clear area. Postlinearization curves are
only a partial solution, for they only address individual channels.
And I was wrong when I said number of nodes is not important, for I
think a CLUT with 65^3 nodes will reduce the space between nodes and the
bad/interpolated values, compared to a 17^3 or even a 33^3 one.
Still, the same question apply: can anybody suggest a different approach
to build such a profile?
Thanks, again,
Ignacio
Ignacio Ruiz-de-Conejo wrote:
> Hi, list:
>
> I am building profiles with very customized features, not related to
> any media.
>
> One of those, for instance, would allow me to map values of an sRGB
> image to specific cmyk combinations.
> To implement that, I started with the "makecmy.c" sample, available in
> lcms 1.18, and
> ...///...
> My problem is that even though the pre and post linearization curves
> are identities (have not touched the code here), the values obtained
> when applying the profile are.not the spected ones, which should match
> the values inserted in the LUT, shouldn't they? In other words, the
> linearization curves seem to modify the results of the CLUT, even
> though they are identities...
>
> Any idea, hint, suggestion?
--
______________________________________________________________
Ignacio Ruiz de Conejo
Senior Imaging Researcher
Tel. : +61 28875 9682
e-mail: [email protected]
______________________________________________________________
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