Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking

Image quality evaluation of electronic displays is inherently subjective. To date, user studies in focus groups and viewers’ self-reports have been the primary sources of feedback used as judgment criteria for the display quality. However, little has been known whether the measured responses to visual stimuli, other than self-reports, reflect the objective and subjective levels of image quality on displays. Here, we used electroencephalogram (EEG) and eye-tracking to investigate whether individuals’ neural and physiological responses to visual stimuli track three objectively discerned levels of image quality, as well as their self-ratings on vividness. Our findings reveal that event-related potentials (ERPs) at 200-300 msec after stimulus onset in the frontocentral brain region, as well as saccade and blink frequencies, significantly tracked (cluster-based permutation p <0.05) the objective perspective of image quality. In contrast, ERPs at 600 msec in the frontolateral region and saccade peak velocity tracked (cluster-based permutation p <0.05) the subjective evaluation of image quality. Individuals’ pupil diameter successfully tracked (cluster-based permutation p <0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. This study demonstrates the effectiveness of EEG and eye-tracking as quantitative tools for assessing objective image quality disparities and the subjective affective nuances of users’ visual display experiences, potentially reducing reliance on self-reports.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3556391
Citations
1
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
1.28

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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking

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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking

Jung Hyun Ham, Hyun-Jun Jeon, Dongil Chung, Woojae Jung, Youngshin Kwak, Oh‐Sang Kwon, Changhyun Lim, Hyun Joo, Myong Young Lee
article en
1 citations

Abstract

Image quality evaluation of electronic displays is inherently subjective. To date, user studies in focus groups and viewers’ self-reports have been the primary sources of feedback used as judgment criteria for the display quality. However, little has been known whether the measured responses to visual stimuli, other than self-reports, reflect the objective and subjective levels of image quality on displays. Here, we used electroencephalogram (EEG) and eye-tracking to investigate whether individuals’ neural and physiological responses to visual stimuli track three objectively discerned levels of image quality, as well as their self-ratings on vividness. Our findings reveal that event-related potentials (ERPs) at 200-300 msec after stimulus onset in the frontocentral brain region, as well as saccade and blink frequencies, significantly tracked (cluster-based permutation p <0.05) the objective perspective of image quality. In contrast, ERPs at 600 msec in the frontolateral region and saccade peak velocity tracked (cluster-based permutation p <0.05) the subjective evaluation of image quality. Individuals’ pupil diameter successfully tracked (cluster-based permutation p <0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. This study demonstrates the effectiveness of EEG and eye-tracking as quantitative tools for assessing objective image quality disparities and the subjective affective nuances of users’ visual display experiences, potentially reducing reliance on self-reports.

IEEE AccessVol. 13
LG (United States) (US), Ulsan National Institute of Science and Technology (KR)
Korea Brain Research Institute, Ulsan National Institute of Science and Technology, National Research Foundation of Korea, LG Electronics
Climate action
Openalex Percentile: Top 22%
Image and Video Quality Assessment
1.28
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