AbstractThe aim of this thesis is to link perceived image quality to physical display parameters. This is done in the context of automotive displays. Specialities of automotive display applications like high ambient lighting conditions and the necessity to access information quickly are explained. A summary of readability models relevant to automotive applications is given and the difference between readability and perceived image quality is explained. The methodology chosen to investigate perceived image quality is the Image-Quality-Circle framework by Engeldrum (2000). Engeldrum states that observers form their image quality rating by weighting the visual attributes they perceive. Visual algorithms, which can be investigated via psychometric scaling, link visual attributes to the underlying physical image parameters which are typically measure by physical instruments. The visual attributes investigated in this thesis are perceived contrast, brightness, blackness and colourfulness. Perceived contrast, brightness and blackness are derived from display luminance via the DICOM just noticeable difference (JND) scale. Colourfulness is scaled based colour gamut in the CIE1931 chromaticity diagram. It was shown that image quality rating rises with growing perceived contrast; the limiting factors are glare and perceived blackness. In colourfulness scaling a linear relationship between colour gamut and colourfulness rating was demonstrated. Higher colourfulness can compensate lower brightness in perceived image quality.
|Date of Award||Jan 2014|
|Supervisor||Colin M. Cartwright (Supervisor)|
Modelling image quality for automotive display technologies
Wolf, D. (Author). Jan 2014
Student thesis: Doctoral Thesis