A next generation Colour Appearance Model for self-luminous stimuli
The assessment of the quality and comfort of lighting requires a good understanding of the correlation between the optical properties of the stimuli and their corresponding perceptual attributes such as brightness, colourfulness and hue. To facilitate this, colour appearance models (CAM) have been developed for object colours and isolated self-luminous stimuli. In this project, these models will be extended for the evaluation of self-luminous stimuli surrounded by a luminous background, as occuring in a lot of everyday situations such as the evaluation of the brightness of LEDs or advertisement billboards. Furthermore, the implementation of concepts related to the physiology of the retina (such as receptive fields) on one hand and to the imaging and rendering technology (such as local adaptation and tone mapping) on the other hand are not yet included in traditional CAMs. Based on additional experimental visual data, a new CAM framework capable of handling complex scenes will be developed.