Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network
Crossref DOI link: https://doi.org/10.1007/s11042-022-12707-4
Published Online: 2022-03-09
Published Print: 2022-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Chaofeng http://orcid.org/0000-0002-3236-3143
Yun, LiXia
Xu, Shoukun
Funding for this research was provided by:
National Natural Science Foundation of China (61771223)
Text and Data Mining valid from 2022-03-09
Version of Record valid from 2022-03-09
Article History
Received: 27 November 2020
Revised: 22 March 2021
Accepted: 21 February 2022
First Online: 9 March 2022