Bivariate analysis of 3D structure for stereoscopic image quality assessment
作者：
Highlights：
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• A bivariate natural scene statistics model is proposed to represent image quality.
• Marginal and conditional probabilities are used to depict the bivariate distribution.
• Features are separately extracted from monocular and binocular regions.
摘要
•A bivariate natural scene statistics model is proposed to represent image quality.•Marginal and conditional probabilities are used to depict the bivariate distribution.•Features are separately extracted from monocular and binocular regions.
论文关键词：No reference,Stereoscopic image quality assessment,Bivariate analysis,Natural scene statistics,Machine learning
论文评审过程：Received 29 September 2017, Revised 17 January 2018, Accepted 26 February 2018, Available online 28 March 2018, Version of Record 12 April 2018.
论文官网地址：https://doi.org/10.1016/j.image.2018.02.014
