NDLI: A visual comfort assessment metric for stereoscopic images

Content Provider	IEEE Xplore Digital Library
Author	Feng Qi Xiaopeng Fan Debin Zhao Tingting Jiang Jian Zhang
Copyright Year	2015
Abstract	Recent studies have shown that one of the main reasons inducing visual discomfort is accommodation-vergence conflict. To evaluate visual discomfort induced by this conflict, this paper proposes a stereo visual comfort assessment (SVCA) metric based on the measurement of accommodation and vergence for stereoscopic image. Here, accommodation corresponds to the monocular focusing process which is modeled by two-view images' joint entropy; vergence corresponds to binocular fusion which is modeled by two-view images' mutual information. The joint entropy and mutual information are calculated by the visual primitives extracted from two-view images. In this paper, accommodation-vergence conflict is expressed as the ratio of the mutual information over joint entropy. To evaluate the proposed metric, a subjective experiment is conducted to construct a ground truth database. The experimental results show that the proposed SVCA metric achieves a highly competitive performance with some state-of-the-art SVCA models.
Starting Page	2601
Ending Page	2605
File Size	790255
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Stereo image processing Measurement Entropy Mutual information Image reconstruction Focusing entropy of primitive Visual discomfort stereoscopic visual comfort assessment accommodation-vergence conflict visual perceptual information
Content Type	Text
Resource Type	Article

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