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Study of image quality using event‐related potentials and eye tracking measurement
Author(s) -
Jia Lixiu,
Tu Yan,
Wang Lili,
Zhong Xuefei,
Wang Ying
Publication year - 2018
Publication title -
journal of the society for information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 52
eISSN - 1938-3657
pISSN - 1071-0922
DOI - 10.1002/jsid.653
Subject(s) - artificial intelligence , computer vision , eye tracking , image quality , computer science , eye movement , fixation (population genetics) , blurred vision , latency (audio) , electroencephalography , kernel (algebra) , image (mathematics) , mathematics , psychology , ophthalmology , medicine , neuroscience , telecommunications , population , environmental health , combinatorics
The image quality was investigated using electroencephalography and eye‐tracking measurements simultaneously. Different image qualities were obtained by changing σ values in the Gaussian kernel function. The experimental results illustrated that the measurable event‐related potentials and eye‐tracking parameters varied with the change of the image quality. The more blurred the image, the higher and earlier the P300 (event‐related potentials at latency about 300–550 ms) was elicited. Meanwhile, the visual fixation duration decreased and the detection rate increased with the increase of σ. The blurred image quality could be evaluated based on the synthetic results of the reciprocal of P300 latency and the visual fixation duration. The result showed a good correlation with the subjective rating scores, which proved the feasibility of utilizing electroencephalography and eye‐tracking technology to evaluate the blurred image quality.