Plateforme de personnalisation du contenu visuel

Abstract

IRYSTec Perceptual Display Platform (PDP) is a software solution aimed at personalizing the viewing experience in accordance with the characteristics of the surrounding environment, the image content and the viewer itself. In this thesis, we propose to utilize models of the human visual system (HVS) to improve the visual content by adapting it to the viewer’s preferences as well as reducing the power consumption of OLED displays. First, we present a unified color and contrast content adaptation (UCA) method designed to modify images while preserving observers’ preferences for white color and detail level. Our method is based on newly released models of the color matching functions (CMF) and contrast sensitivity function (CSF) incorporating age-dependent components. Using CIE-2006 physiological model in combination with an extension of Barten’s CSF model, our technique adjusts the display white point and local contrast to correspond to the viewer’s age-related color and contrast response preference. The results of a subjective evaluation show the effectiveness of the method on a large range of image types and confirm that combining both color and contrast is the preferred approach for content adaptation to viewers’ characteristics. Second, in order to continue the improvement of the perceived image quality, and to make the display more energy efficient, we explore the use of algorithms that model the perceptual redundancies that characterize the HVS. Our approach is based on the use of just noticeable difference (JND) thresholds in vision, visual attention (VA), and a new display power consumption model (DPCM) for OLED displays by modifying the pixel values in a way that is imperceptible for the human eye.

Date	1 Aug 2022
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Carlos Vázquez (Supervisor)