Psychophysical Study of Human Visual Perception of Flicker Artifacts in Automotive Digital Mirror Replacement Systems

verfasst von: Nicolai Behmann, Sousa Weddige, Holger Blume
Abstract: Aliasing effects due to the time-discrete capturing of amplitude-modulated light with a digital image sensor are perceived as flicker by humans. Especially when observing these artifacts in digital mirror replacement systems, they are annoying and can pose a risk. Therefore, ISO 16505 requires flicker-free reproduction for 90\,\% of people in these systems. Various psychophysical studies investigate the influence of large-area flickering of displays, environmental light or flickering in television applications on perception and concentration. However, no detailed knowledge of subjective annoyance / irritation due to flicker from camera-monitor systems as a mirror replacement in vehicles exist so far, but the number of these systems is constantly increasing.

This psychophysical study used a novel dataset from real world driving scenes and synthetic simulation with synthetic flicker. More than 25 test persons were asked to quantify the subjective annoyance level of different flicker frequencies, amplitudes, mean values, sizes and positions. The results show, that for digital mirror replacement systems human subjective annoyance due to flicker is greatest in the 15 Hz range with increasing amplitude and magnitude. Additionally, the sensitivity to flicker artifacts increases with the duration of observation.
Organisationseinheit(en): Institut für Mikroelektronische Systeme
Fachgebiet Echtzeitsysteme
Typ: Artikel
Journal: Journal of Perceptual Imaging
Band: 4
Seiten: 10401-1-10401-9
Anzahl der Seiten: 9
ISSN: 2575-8144
Publikationsdatum: 05.2021
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Computergrafik und computergestütztes Design, Angewandte Informatik, Mensch-Maschine-Interaktion, Software, Elektrotechnik und Elektronik, Atom- und Molekularphysik sowie Optik
Elektronische Version(en): https://doi.org/10.2352/j.percept.imaging.2021.4.1.010401 (Zugang: Offen)