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Proceedings Paper

LLAB model for color appearance and color difference evaluation
Author(s): Ming Ronnier Luo
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Paper Abstract

An ideal system of colorimetry should provide measures agreeing to what we see in three respects: color specification, difference and appearance. A successful method to quantify these measures depends upon the reliability of psychophysical experimental data. These data sets have been accumulated and were used to derive the LLAB model. The model includes two parts: a chromatic adaptation transform and a uniform color space. Tristimulus values under a particular set of illuminant/observer conditions are transformed to those of D65/2 degree(s) conditions via a chromatic adaptation transform. A modified version of CIELAB is then used to calculate six perceived attributes: lightness (LL), redness-greenness (AL), yellowness-blueness (BL), colorfulness (CL), hue angle (hL) and hue composition (HL). The model gives similar degree of prediction in comparison with the other state of the art models using the accumulated data sets. The LLAB model demonstrates that it is possible to achieve a system, which provides precise measures to quantify color match, difference and appearance.

Paper Details

Date Published: 29 March 1996
PDF: 9 pages
Proc. SPIE 2658, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts, (29 March 1996); doi: 10.1117/12.236975
Show Author Affiliations
Ming Ronnier Luo, Univ. of Derby (United Kingdom)


Published in SPIE Proceedings Vol. 2658:
Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts
Jan Bares, Editor(s)

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