Spatial gamut mapping among non-inclusive gamuts

Javier Vazquez-Corral*, Marcelo Bertalmío

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)204-212
Number of pages9
JournalJournal of Visual Communication and Image Representation
Publication statusPublished - Jul 2018


  • Color coherence
  • Gamut extension
  • Gamut mapping
  • Gamut reduction


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