Color Palette associated with Color Discrimination and Clustering for the Elderly and Normal Vision People
Article Sidebar
Main Article Content
บทคัดย่อ
Color is a powerful tool to communicate both direct and indirect information. It enhances readability, attracting attention and emotion. However, the use of color to deliver sophisticated information is still in challenge. This paper proposes an algorithm to generate color palettes to convey the message of group information comprising various levels of detail and interrelation. The algorithm is based on color data such as contrast ratio, lightness, chroma, hue, color distance. The results provide the color palettes associated with color discrimination and clustering for the elderly and normal vision people. This contributes to an improved visual experience in digital media, content, printing, and user interface, with particular relevance for the visual representation of group information, including status management and informational categorization.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
I/we certify that I/we have participated sufficiently in the intellectual content, conception and design of this work or the analysis and interpretation of the data (when applicable), as well as the writing of the manuscript, to take public responsibility for it and have agreed to have my/our name listed as a contributor. I/we believe the manuscript represents valid work. Neither this manuscript nor one with substantially similar content under my/our authorship has been published or is being considered for publication elsewhere, except as described in the covering letter. I/we certify that all the data collected during the study is presented in this manuscript and no data from the study has been or will be published separately. I/we attest that, if requested by the editors, I/we will provide the data/information or will cooperate fully in obtaining and providing the data/information on which the manuscript is based, for examination by the editors or their assignees. Financial interests, direct or indirect, that exist or may be perceived to exist for individual contributors in connection with the content of this paper have been disclosed in the cover letter. Sources of outside support of the project are named in the cover letter.
I/We hereby transfer(s), assign(s), or otherwise convey(s) all copyright ownership, including any and all rights incidental thereto, exclusively to the Journal, in the event that such work is published by the Journal. The Journal shall own the work, including 1) copyright; 2) the right to grant permission to republish the article in whole or in part, with or without fee; 3) the right to produce preprints or reprints and translate into languages other than English for sale or free distribution; and 4) the right to republish the work in a collection of articles in any other mechanical or electronic format.
We give the rights to the corresponding author to make necessary changes as per the request of the journal, do the rest of the correspondence on our behalf and he/she will act as the guarantor for the manuscript on our behalf.
All persons who have made substantial contributions to the work reported in the manuscript, but who are not contributors, are named in the Acknowledgment and have given me/us their written permission to be named. If I/we do not include an Acknowledgment that means I/we have not received substantial contributions from non-contributors and no contributor has been omitted.
เอกสารอ้างอิง
M. Hencová and V. Kotradyová, “Colour in the environment for older adults,” Architecture Papers of the Faculty of Architecture and Design STU, vol. 28, pp. 15-23, 2023, doi: 10.2478/alfa-2023-0021.
Y. Liu, J. Kang, Y. Zhang, D. Wang, and L. Mao, “Visual comfort is affected by urban colorscape tones in hazy weather,” Frontiers of Architectural Research, vol. 5, pp. 453-465, 2016, doi: 10.1016/j.foar.2016.10.001.
A. Torres, J. Serra, J. Llopis, and A. Delcampo, “Color preference cool versus warm in nursing homes depends on the expected activity for interior spaces,” Frontiers of Architectural Research, vol. 9, pp. 739-750, 2020, doi: 10.1016/j.foar.2020.06.002.
M. Wijffelaars, R. Vliegen, J. J. Van Wijk, and E.-J. Van Der Linden, “Generating color palettes using intuitive parameters,” In Proc. 10th Joint Eurographics / IEEE - VGTC Conference on Visualization, 2008, pp. 743–750.
J. Rael, “Colormoo: An algorithmic approach to generating color palettes,” Senior thesis, Claremont McKenna College, Claremont, CA, 2014.
J. Delon, A. Desolneux, J.-L. Lisani, and A. B. Petro, “Automatic color palette,” Inverse Problems and Imaging, vol. 1, no. 2, 2007, pp. 265-287, doi: 10.3934/ipi.2007.1.265.
P. Weingerl, A. Hladnik, and D. Javoršek, “Development of a machine learning model for extracting image prominent colors,” Color Research & Application, 2020, doi: 10.1002/col.22485.
P. Weingerl, “Automated image-based user interface color theme generation,” Applied Sciences, vol. 14, 2024, doi: 10.3390/app14072850.
R. M. Karim, T. Jeong, H. Ha, J. Ho, K. Lee, and H. J. Shin, “Improving user experience of color palette extraction by using interactive visualization based on hierarchical color model,” International Journal of Human-Computer Studies, vol. 169, 2023, doi: 10.1016/j.ijhcs.2022.102924.
T. Chou and J.-Y. Shao, “Color palette generation of mixed color images using autoencoder,” Sensors and Materials, vol. 36, no. 1, pp. 135-146, 2024, doi: 10.18494/SAM4537.
S.-C. Huang, “An efficient palette generation method for color image quantization,” Applied Sciences, vol. 11, no. 3, 2021, doi: 10.3390/app11031043.
Adobe color. “Color wheel.” Accessed: Apr. 10, 2025. [Online]. Available: https://color.adobe.com/create/color-wheel
F. Bianchi, “Coolors.” Accessed: Apr. 10, 2025. [Online]. Available: https://coolors.co
ColorBox. Accessed: Apr. 10, 2025. [Online]. Available: https://colorbox.io
G. Aisch, “Colorpicker for data.” Accessed: Apr. 10, 2025. [Online]. Available: https://tristen.ca/hcl-picker/#/hlc/15/1.05/E7F76A/848C38
C. Gramazio, “Colorgorical.” Accessed: Apr. 10, 2025. [Online]. Available: http://vrl.cs.brown.edu/color
Paletton. Accessed: Apr. 10, 2025. [Online]. Available: https://paletton.com
Leonardo. Accessed: Apr. 10, 2025. [Online]. Available: https://leonardocolor.io/theme.html
Canva. Accessed: Apr. 10, 2025. [Online]. Available: https://www.canva.com/colors/color-palette-generator
Web Content Accessibility Guidelines (WCAG) 2.0. Accessed: Apr. 10, 2025. [Online]. Available: https://www.w3.org/TR/WCAG20
