Paper
17 January 2006 The effect of image sharpness on quantitative eye movement data and on image quality evaluation while viewing natural images
Tero Vuori, Maria Olkkonen
Author Affiliations +
Proceedings Volume 6059, Image Quality and System Performance III; 605903 (2006) https://doi.org/10.1117/12.641158
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
The aim of the study is to test both customer image quality rating (subjective image quality) and physical measurement of user behavior (eye movements tracking) to find customer satisfaction differences in imaging technologies. Methodological aim is to find out whether eye movements could be quantitatively used in image quality preference studies. In general, we want to map objective or physically measurable image quality to subjective evaluations and eye movement data. We conducted a series of image quality tests, in which the test subjects evaluated image quality while we recorded their eye movements. Results show that eye movement parameters consistently change according to the instructions given to the user, and according to physical image quality, e.g. saccade duration increased with increasing blur. Results indicate that eye movement tracking could be used to differentiate image quality evaluation strategies that the users have. Results also show that eye movements would help mapping between technological and subjective image quality. Furthermore, these results give some empirical emphasis to top-down perception processes in image quality perception and evaluation by showing differences between perceptual processes in situations when cognitive task varies.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tero Vuori and Maria Olkkonen "The effect of image sharpness on quantitative eye movement data and on image quality evaluation while viewing natural images", Proc. SPIE 6059, Image Quality and System Performance III, 605903 (17 January 2006); https://doi.org/10.1117/12.641158
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Cited by 3 scholarly publications.
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KEYWORDS
Image quality

Eye

Image processing

Modulation transfer functions

Visualization

Image analysis

Quality measurement

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