Open Access Open Access  Restricted Access Subscription or Fee Access

Sampling CIELAB color space with perceptual metrics

Philippe Colantoni, Jean-Baptiste Thomas, Alain Trémeau


Sampling a perceptually uniform or pseudo-uniform color space is required for applications from image processing to computational imaging. However, one can face two problems while trying to perform a uniform sampling of such space. First, the usual cubic grid is not perceptually uniform in most cases. Second, perceptual metrics are often not Euclidean. We propose to overcome these problems. We apply our solution on CIELAB color space to test its efficiency. We propose an algorithm to define a tabulated color space with regard to a non-Euclidean color difference formula, i.e. E 00 in CIELAB. The tabulated data are available at Later, we propose to combine this tabulated color space with an approximated 3D close packed hexagonal regular sampling of CIELAB. Evaluations of the transform and of the regular sampling are performed and compared with literature standards.


Colorimetry; Perceptually uniform color space; Color differences; Sampling; 3D close packed hexagonal grid

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.