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Publication

Modelling the perception of light sources

Book - Dissertation

Colour Appearance Models (CAM) attempt to predict the colour appearance of a stimulus by taking the physical properties of the stimulus and its surroundings into account. The fundamental goal is to look for correlates between the measured optical spectral data of a stimulus and its surrounding and the corresponding perceptual attributes. There are three absolute colour attributes (Brightness, Colourfulness and Hue) and three relative colour attributes (Lightness, Chroma and Saturation). Most of the existing CAMs are developed to describe the perception of related surface colours which implicitly assume the presence of a light source illuminating the target and one or more other surfaces. One of them, CIECAM02 is recommended by the "Commission Internationale d'Eclairage" (CIE). Recently, a new CAM (CAM15u) was developed for unrelated light sources (i.e. self-luminous stimuli seen in a completely dark environment). However, at this moment, there is no colour appearance model for light sources seen in a specific luminous context (e.g. a traffic signal at daytime). A first crucial step is to gather relevant optical data (spectral radiances) and the corresponding perceptual data of the colour attributes of observers. With this new data a new and comprehensive colour appearance model will be developed for these self-luminous stimuli seen in relation to a self-luminous background using the spectral optical data of the stimulus and the background as basic input, and taking into account as much as possible input from the physiologic and neurologic processes of the visual system. This new model can immediately be used when investigating the brightness perception of LED-signalisation.
Publication year:2019
Accessibility:Closed