Methods for Optimal Color Selection

o t t n f w s ( T t bstract. The color characterization of digital cameras often reuires the use of standard charts containing a fixed number of color amples. The exact choice of such characterization charts—how any (and which) known samples to include—is known to affect haracterization performance. This study describes methods to seect optimum color samples from a set of 1269 Munsell surface colrs. The effect of sample selection on characterization performance s evaluated and compared with performance using the standard retagMacbeth ColorChecker and GretagMacbeth ColorChecker C colors. The work confirms that the standard charts appear to ave been well selected. However, we show that it is possible to elect 24 samples from the Munsell set that outperform the Gretagacbeth ColorChecker and that this selection can be efficiently deived using an algorithm called MAXMINC. It is proposed that this alorithm may have general applicability; for example, to the optimal election of samples constrained to be a subspace Munsell color olid. © 2006 Society for Imaging Science and echnology. DOI: 10.2352/J.ImagingSci.Technol. 2006 50:5 481