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Visual discomfort assessment (VDA) on stereoscopic images is of fundamental importance for making decisions regarding visual fatigue caused by unnatural binocular alignment. Nevertheless, no solid framework exists to quantify this discomfort using models of the responses of visual neurons. Binocular vision is realized by means of neural mechanisms that(More)
In general, owing to the benefits obtained from original information, full-reference image quality assessment (FR-IQA) achieves relatively higher prediction accuracy than no-reference image quality assessment (NR-IQA). By fully utilizing reference images, conventional FR-IQA methods have been investigated to produce objective scores that are close to(More)
Since ultra-high-definition (UHD) display has larger resolution and various display size, it is necessary to measure image sharpness considering variation in visual resolution caused by diverse viewing geometry. In this paper, we propose a no-reference perceptual sharpness assessment model of UHD images. The proposed model analyzes viewing geometry in terms(More)
Crosstalk is one of the most annoying problems in an autostereoscopic display causing perceptual quality degradation and visual discomfort. To predict the perceived crosstalk when viewing an autostereoscopic display, it is necessary to consider the characteristics of human perception, displaying mechanism, viewing environment and so on. Therefor, we propose(More)
When each video sequence is captured, an inappropriate camera motion should be one of crucial factors leading to visual discomfort and distortion. The well known symptom, visually induced motion sickness (VIMS) is caused by the illusion of self motion by perceiving the video with ego motion. In particular, for the stereoscopic 3D video, it can be easily(More)
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