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Improvement of viewing experience on stereoscopic image guided by human stereo vision

Lookup NU author(s): Dr Jiawei Xu


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© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Recent 3D visual quality assessment methods still have difficulties in providing the best viewing experience from the viewer’s perspective due to the ambiguous understanding of human stereo vision. One of the key reasons is that the disparity gradient, which affects human depth perception, is hard to control for the input stereo image pair. In this paper, we mathematically formulated the human disparity gradient and optimized the disparity gradients for each stereo image pair. Considering that the disparity gradient needs to be limited to a specific range to satisfy the human visual preference and comfortableness, we proposed a new quantitative definition of disparity gradient and trained the optimal disparity gradients were learned from the pilot study to enhance the viewing experience. Extensive subjective evaluations have demonstrated the competitiveness of this proposed method for the improvement of the viewing experience.

Publication metadata

Author(s): Xu J, Park SH, Zhang X

Publication type: Article

Publication status: Published

Journal: Multimedia Tools and Applications

Year: 2020

Volume: 79

Pages: 4377-4394

Print publication date: 01/02/2020

Online publication date: 29/01/2019

Acceptance date: 09/01/2019

ISSN (print): 1380-7501

ISSN (electronic): 1573-7721

Publisher: Springer New York LLC


DOI: 10.1007/s11042-019-7195-2


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