Image-dependent gamut mapping as optimization problem.
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.
Giesen
Joachim
J
Max-Planck-Institut für Informatik, 66123 Saarbrücken, Germany. jgiesen@mpi-inf.mpg.de
Schuberth
Eva
E
Simon
Klaus
K
Zolliker
Peter
P
Zweifel
Oliver
O
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