Spatial gamut mapping among non-inclusive gamuts

Javier Vazquez-Corral, Marcelo Bertalmío

Abstract:

Gamut mapping transforms the color gamut of an image to that of a target device.
Two cases are usually considered: gamut reduction (target gamut smaller than
source gamut), and gamut extension (target gamut larger than the source gamut).
Less attention is devoted to the more general case, when neither gamut is fully
included in the other. In this work we unify and expand two recent methods
for gamut extension and reduction, so as to simultaneously perform both forms
of gamut mapping in different regions of the same image without introducing
color artifacts or halos. We demonstrate the usefulness of this approach for the
traditional gamut mapping problem, and also how the proposed method can be
used to adapt the color palette of an image so that it is closer to that of a given
reference image. Results are compared with the state-of-the-art and validated
through user tests and objective metrics