Bidirectional Feature Aggregation Network for Stereo Image Quality Assessment Considering Parallax Attention-Based Binocular Fusion-Reference-Cited by-同舟云学术

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Bidirectional Feature Aggregation Network for Stereo Image Quality Assessment Considering Parallax Attention-Based Binocular Fusion

Published:2023 Issue: Volume: Page:1-12
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Chang Yongli¹^ORCID,Li Sumei¹^ORCID,Liu Anqi¹^ORCID,Zhang Wenlin²,Jin Jie¹^ORCID,Xiang Wei³^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. Tianjin International Engineering Institute, Tianjin University, Tianjin, China

3. School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/4359969/10140141.pdf?arnumber=10140141

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep neural network based distortion parameter estimation for blind quality measurement of stereoscopic images;Signal Processing: Image Communication;2024-08

2. Subjective and Objective Quality Assessment of Multi-Attribute Retouched Face Images;IEEE Transactions on Broadcasting;2024-06

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