title: Image-dependent gamut mapping as optimization problem.
abstract: We explore the potential of image-dependent gamut mapping as a constrained optimization problem. The performance of our new approach is compared to standard reference gamut mapping algorithms in psycho-visual tests.
authors.affiliation: Max-Planck-Institut für Informatik, 66123 Saarbrücken, Germany. jgiesen@mpi-inf.mpg.de
authors.forename: Joachim
authors.initials: J
authors.lastname: Giesen
authors.forename: Eva
authors.initials: E
authors.lastname: Schuberth
authors.forename: Klaus
authors.initials: K
authors.lastname: Simon
authors.forename: Peter
authors.initials: P
authors.lastname: Zolliker
authors.forename: Oliver
authors.initials: O
authors.lastname: Zweifel
mesh_terms: D000465:Algorithms; D003116:Color; D003118:Color Perception / Q000502:physiology*; D003124:Colorimetry / Q000379:methods*; D003196:Computer Graphics; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013647:Task Performance and Analysis