Study of image quality using event-related potentials and eye tracking measurement

The image quality was investigated using electroencephalography and eye-tracking measurements simultaneously. Different image qualities were obtained by changing sigma 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 300-550ms) was elicited. Meanwhile, the visual fixation duration decreased and the detection rate increased with the increase of sigma. 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.