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Accurate and Computational: A review of color reproduction in Full-color 3D printing

Yuan, Jiangping 1; Chen, Guangxue; Li, Hua; Prautzsch, Hartmut 1; Xiao, Kaida
1 Institut für Visualisierung und Datenanalyse (IVD), Karlsruher Institut für Technologie (KIT)


As functional 3D printing becomes more popular with industrial manufacturing applications, it is time to start discussing high-fidelity appearance reproduction of 3D objects, particularly in faithful colors. To date, there is only limited research on accurate color reproduction and on universal color reproduction method for different color 3D printing materials. To systematically understand colorization principles and color transmission in color 3D printing, an exhaustive literature review is stated to show the state of the art of color reproduction methods for full-color 3D printing, such as optical parameter modeling, colorimetric difference evaluation, computer aided colorization and voxel droplet jetting. Meanwhile, the challenges in developing an accurate color reproduction framework suitable for different printing materials are fully analyzed in this literature review. In full-color 3D printing, coloring, rendering and acquisition constitute the core issues for accurate color reproduction, and their specific concepts are explained in concrete examples. Finally, the future perspectives of a universal color reproduction framework for accurate full-color 3D printing are discussed, which can overcome the limitations of printing materials, combined with computational boundary contoning.

Verlagsausgabe §
DOI: 10.5445/IR/1000135829
Veröffentlicht am 01.11.2021
DOI: 10.1016/j.matdes.2021.109943
Zitationen: 34
Web of Science
Zitationen: 24
Zitationen: 35
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Visualisierung und Datenanalyse (IVD)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.11.2021
Sprache Englisch
Identifikator ISSN: 0264-1275, 0141-5530, 0261-3069, 1873-4197, 1878-2876
KITopen-ID: 1000135829
Erschienen in Materials and Design
Verlag Elsevier
Band 209
Seiten Art.-Nr.: 109943
Nachgewiesen in Dimensions
Web of Science
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