Blind quality assessment for 3D synthesised video with binocular asymmetric distortion-Reference-Cited by-同舟云学术

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Blind quality assessment for 3D synthesised video with binocular asymmetric distortion

Published:2020-04 Issue:6 Volume:14 Page:1027-1034
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Cui Shuainan¹,Peng Zongju¹²,Chen Fen²,Zou Wenhui¹³,Jiang Gangyi¹,Yu Mei¹

Affiliation:

1. Faculty of Information Science and EngineeringNingbo UniversityNingbo315211People's Republic of China

2. School of Electrical and Electronic Engineering, Chongqing University of TechnologyChongqing400054People's Republic of China

3. School of Electronics and Information Engineering, China West Normal UniversityNanchong637009People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1085

Reference41 articles.

1. Optimal region selection for stereoscopic video subtitle insertion;Yue G.;IEEE Trans. Circuits Syst. Video Technol.,2018

2. Estimation of Signal Distortion Using Effective Sampling Density for Light Field-Based Free Viewpoint Video

3. Optimizing multiview video Plus depth prediction structures for interactive multiview video streaming;De Ana A.;IEEE. J. Sel. Top. Signal Process.,2015

4. Hole filling with multiple reference views in DIBR view synthesis;Li S.;IEEE Trans. Multimed.,2018

5. Combining local and global measures for DIBR‐synthesized image quality evaluation;Yue G.;IEEE Trans. Image Process.,2019

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1. Objective Quality Assessment of Stereoscopic Video Using Inflated 3D Features;SN Computer Science;2024-08-15

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