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Study of the reconstruction of reflectance curves based on tristimulus values: Comparison of methods of optimization
Author(s) -
Dupont Daniel
Publication year - 2002
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.10031
Subject(s) - reflectivity , colorimetry , simulated annealing , convergence (economics) , genetic algorithm , simplex , computer science , color space , artificial neural network , mathematics , artificial intelligence , mathematical optimization , biological system , optics , computer vision , geometry , physics , image (mathematics) , economics , biology , economic growth
This article presents and compares different methods applied to the reconstruction of reflectance curves. These are optimization methods such as the simplex method, simulated annealing, genetic algorithms, neural networks, and Hawkyard's method, which is specific to colorimetry. Improvements have been made to these methods to maximize their application, notably to ensure a convergence toward the global optimum by avoiding being trapped in local optima and to obtain physically viable reflectance curves. Objective and subjective criteria were used to compare these methods; the study used textile samples (cotton fibers), with a panel of 15 samples covering the CIELAB L*a*b* space. © 2002 Wiley Periodicals, Inc. Col Res Appl, 27, 88–99, 2002; DOI 10.1002/col.10031