Aesthetic of Colour: A Machine Learning Approach of Palette Generation and Aesthetic Classification

Ananya, Batchu B. V. Aashish, Kunda Chudanath, Geetha K N, Shali S

2025

Abstract

In this paper, a mathematical and computational framework is developed for the automatic generation of aesthetic colour palettes from images using Principal Component Analysis, clustering, and Support Vector Machines. Methodologically, the procedure is started with the key role played by Principal Component Analysis in extracting colours with the aim of bringing dimensionality reduction while important chromatic information is preserved. Secondly, the grouping of similar colours and the identification of predominant hues or common base palettes are achieved using clustering algorithms. Then, the assignment of a retrieved colour palette to a target aesthetic category is performed through classification by Support Vector Machines, and further palettes of the same aesthetic are generated. In this way, an avenue is opened for possible application in design, visual arts, and user interface personalization, enabled by data-driven insights into the quality of colour harmony and aesthetic perception. Finally, the consistency and aesthetic qualities of the created palettes over image datasets used are demonstrated through the presentation of experimental results.

Paper Citation

in Harvard Style

Ananya., Aashish B., Chudanath K., K N G. and S S. (2025). Aesthetic of Colour: A Machine Learning Approach of Palette Generation and Aesthetic Classification. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 268-276. DOI: 10.5220/0013590600004664

in Bibtex Style

@conference{incoft25,
author={Ananya and Batchu B. V. Aashish and Kunda Chudanath and Geetha K N and Shali S},
title={Aesthetic of Colour: A Machine Learning Approach of Palette Generation and Aesthetic Classification},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={268-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013590600004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Aesthetic of Colour: A Machine Learning Approach of Palette Generation and Aesthetic Classification
SN - 978-989-758-763-4
AU - Ananya.
AU - Aashish B.
AU - Chudanath K.
AU - K N G.
AU - S S.
PY - 2025
SP - 268
EP - 276
DO - 10.5220/0013590600004664
PB - SciTePress