Exploring Image Quality Assessment from a New Perspective: Pupil Size

Fuente: arXiv
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Main Authors: Gao, Yixuan, Min, Xiongkuo, Zhai, Guangtao
Format: Preprint
Published: 2025
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author Gao, Yixuan
Min, Xiongkuo
Zhai, Guangtao
author_facet Gao, Yixuan
Min, Xiongkuo
Zhai, Guangtao
contents 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 IQA, this research can not only provide a theoretical basis for the objective IQA method and promote the development of more effective objective IQA methods, but also provide a new subjective IQA method for collecting the authentic subjective impression of image quality.
format Preprint
id arxiv_https___arxiv_org_abs_2505_13841
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exploring Image Quality Assessment from a New Perspective: Pupil Size
Gao, Yixuan
Min, Xiongkuo
Zhai, Guangtao
Image and Video Processing
Computer Vision and Pattern Recognition
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 IQA, this research can not only provide a theoretical basis for the objective IQA method and promote the development of more effective objective IQA methods, but also provide a new subjective IQA method for collecting the authentic subjective impression of image quality.
title Exploring Image Quality Assessment from a New Perspective: Pupil Size
topic Image and Video Processing
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2505.13841