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A next-generation Color Appearance Model for self-luminous stimuli

The assessment of the quality and comfort of lighting requires a good knowledge of the correlation between the optical properties of the sources, such as the luminance distribution, and their perceptual attributes such as brightness, hue, and saturation. To this extend, Colour Appearance Models (CAM) have been developed.The aim of this doctoral research project is to develop a new generation Colour Appearance Model for self-luminous stimuli surrounded by self-luminous backgrounds using an image based approach and inspired by physiological insights. This would represent a real breakthrough in visual perception modelling. Such a model will facilitate lighting design to move forward from the traditional illuminance based design to a luminance based design. For outdoor applications such as road lighting and signalization, this model will become the tool to explore the limits of energy consumption while maintaining safety standards. In the long term it could become possible to implement the effect of aging and some common visual deficiencies directly into the model which will in turn contribute to a more personalized lighting design. Finally, the availability of a reliable and robust CAM can be used to enhance the experience of Virtual Reality devices.

Date:27 Apr 2018 →  24 Oct 2022
Keywords:Color Appearance Model, Self-luminous stimuli
Disciplines:Sensors, biosensors and smart sensors, Other electrical and electronic engineering
Project type:PhD project