Open AccessNo‐reference quality assessment for stereoscopic images considering visual discomfort and binocular rivalry
Author(s) -
Ding Yong,
Zhao Yang
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.2475
Subject(s) - binocular rivalry , stereoscopy , computer vision , artificial intelligence , computer science , robustness (evolution) , binocular vision , image quality , binocular disparity , segmentation , image (mathematics) , visual perception , psychology , perception , biochemistry , chemistry , neuroscience , gene
A no‐reference stereoscopic image quality assessment method is proposed that takes two primary binocular effects, visual discomfort, and binocular rivalry, into consideration. The adaptive segmentation, local energy, and visual saliency are employed for estimating binocular effects and constructing a quality baseline, which together composes a comprehensive image quality description. Moreover, a compact parallel framework is designed for efficiency. Experiments have validated the high accuracy and robustness of the proposed method.