Spectral Gamut Mapping and Gamut Concavity
Bastani, B. and Funt, B., "Spectral Gamut Mapping and Gamut Concavity, Proc. of the Fifteenth IS&T Color Imaging Conference,
Albuquerque, Nov. 2007.
Abstract:
A spectral gamut-mapping algorithm is introduced that works
well for printers with a large number of inks. It finds the best
mapping onto the convex hull of the printer spectral gamut while
preserving color defined in CIE XYZ as much as possible. The
technique employs a non-negative least-square fit. Since the
gamut-mapping algorithm depends on the common assumption
that the gamut is convex, an experimental study of the degree of
gamut concavity is conducted. It finds that there is a significant
amount of concavity, and that that the degree does not appear to
change much as the number of inks is increased. Finally, the
performance of the gamut-mapping algorithm and gamut coverage
in spectral space is compared for 3-, 4-, 5- and 6-ink printers
using both synthetic ink models and real ink data.
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