Optimizing Parametric Factors in CIELAB and CIEDE2000 Color-Difference Formulas for 3D-Printed Spherical Objects
Metadatos
Afficher la notice complèteEditorial
MDPI
Materia
Color difference 3D object Visual assessment CIELAB CIEDE2000 Optimization
Date
2022-06-07Referencia bibliográfica
He, R... [et al.]. Optimizing Parametric Factors in CIELAB and CIEDE2000 Color-Difference Formulas for 3D-Printed Spherical Objects. Materials 2022, 15, 4055. [https://doi.org/10.3390/ma15124055]
Patrocinador
ApPEARS (Appearance Printing European Advanced Research School) European Commission 814158; Spanish Government; European Commission PID2019-107816GB-I00/SRA/10.13039/501100011033Résumé
The current color-difference formulas were developed based on 2D samples and there is
no standard guidance for the color-difference evaluation of 3D objects. The aim of this study was
to test and optimize the CIELAB and CIEDE2000 color-difference formulas by using 42 pairs of
3D-printed spherical samples in Experiment I and 40 sample pairs in Experiment II. Fifteen human
observers with normal color vision were invited to attend the visual experiments under simulated
D65 illumination and assess the color differences of the 82 pairs of 3D spherical samples using the
gray-scale method. The performances of the CIELAB and CIEDE2000 formulas were quantified
by the STRESS index and F-test with respect to the collected visual results and three different
optimization methods were performed on the original color-difference formulas by using the data
from the 42 sample pairs in Experiment I. It was found that the optimum parametric factors for
CIELAB were kL = 1.4 and kC = 1.9, whereas for CIEDE2000, kL = 1.5. The visual data of the 40 sample
pairs in Experiment II were used to test the performance of the optimized formulas and the STRESS
values obtained for CIELAB/CIEDE2000 were 32.8/32.9 for the original formulas and 25.3/25.4 for
the optimized formulas. The F-test results indicated that a significant improvement was achieved
using the proposed optimization of the parametric factors applied to both color-difference formulas
for 3D-printed spherical samples.