Colour Technology Research Group

Description

The Colour Technology group focuses on the imaging, measurement and appearance of colour for design and manufacturing applications.

Colour is a naturally multi-disciplinary topic and the diversity of researchers and research projects in the group reflects this.

The following themes are currently active within the School:

• research to use machine learning to generate insights from data to allow more efficient colour design processes
• research to understand how consumers aesthetically evaluate interior design with the aim of personalising internet content for consumers
• working with commercial organisation to develop methods to measure the colour appearance of hair, teeth and skin
• understanding how to ensure that designers pay more attention to consumers who are colour blind or have low vision
• application of experimental methods to predict visual appearance attributes from physical measurements of materials
• research to understand and quantify the effect of light on human behaviour, performance and well-being in real and virtual environments.

Researchers in the group have experience as computational modellers and have worked with artificial neural networks, including multilayer perceptrons and extreme learning machines, as well as generative adversarial networks. Between March 2024 and February 2025 a senior member of the group was primary investigator on an Innovate UK funded project, Explainable AI (XAI): A Creative Copilot for Interior Designers, which used AI technology to develop web-based services intended to provide a digital creative co-pilot for creative designers, building on earlier Leeds expertise in machine learning for image processing and language processing in the context of colour. Testing of the co-pilot by partner organisations was planned as part of the project, which aimed to enable designers to automate many of the less creative and repetitive tasks.

Offers funding

No, this infrastructure does not provide funding.

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University of Leeds
Leeds