Spatial gamut mapping among non-inclusive gamuts

Bertalmío, Marcelo; Vazquez-Corral, Javier

doi:http://dx.doi.org/10.1016/j.jvcir.2018.05.012

Spatial gamut mapping among non-inclusive gamuts

Citation

Vazquez-Corral J, Bertalmío M. Spatial gamut mapping among non-inclusive gamuts. J Vis Commun Image Represent. 2018 Jul;54:204-12. DOI: 10.1016/j.jvcir.2018.05.012

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 di erent 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.