A comparative analysis of machine learning methods for display characterization

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Khleef Almutairi, Samuel Morillas, Pedro Latorre-Carmona, Makan Dansoko, María José Gacto

Published: 2024, Last Modified: 25 Sept 2025Displays 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The study compares machine learning methods for characterizing LCD, OLED, and QLED.•High-precision colorimetric data used to build and test models for reliable results.•The effectiveness of each method is evaluated using the ΔE00 visual error metric for color accuracy.•Fuzzy FMID balance accuracy and interpretability in color reproduction.•Fuzzy inference systems provide deeper insights into RGB-XYZ relationships