Exploring Image Quality Assessment from a New Perspective: Pupil Size
Yixuan Gao, Xiongkuo Min, Guangtao Zhai

TL;DR
This study investigates how pupil size varies during image quality assessment tasks, revealing its potential as a physiological indicator for subjective and objective image quality evaluation.
Contribution
It introduces a novel perspective by linking pupil size to image quality assessment, offering insights for developing new objective and subjective IQA methods.
Findings
Pupil size increases when evaluating image quality.
Pupil size correlates with perceived image quality.
Visual attention mechanisms are activated during IQA.
Abstract
This paper explores how the image quality assessment (IQA) task affects the cognitive processes of people from the perspective of pupil size and studies the relationship between pupil size and image quality. Specifically, we first invited subjects to participate in a subjective experiment, which includes two tasks: free observation and IQA. In the free observation task, subjects did not need to perform any action, and they only needed to observe images as they usually do with an album. In the IQA task, subjects were required to score images according to their overall impression of image quality. Then, by analyzing the difference in pupil size between the two tasks, we find that people may activate the visual attention mechanism when evaluating image quality. Meanwhile, we also find that the change in pupil size is closely related to image quality in the IQA task. For future research on…
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Taxonomy
TopicsImage and Video Quality Assessment
MethodsSoftmax · Attention Is All You Need
