Face Super-Resolution Quality Assessment Based on Identity and Recognizability-Reference-Cited by-同舟云学术

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Face Super-Resolution Quality Assessment Based on Identity and Recognizability

Published:2024-07 Issue:3 Volume:6 Page:364-373
ISSN:2637-6407
Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
language:
Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Chen Weiling¹^ORCID,Lin Weitao²,Xu Xiaoyi²,Lin Liqun¹^ORCID,Zhao Tiesong¹^ORCID

Affiliation:

1. Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information and the Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou University, Fuzhou, China

2. Fuzhou University, Fuzhou, China

Funder

Natural Science Foundation of Fujian Province, China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8423754/10604462/10502021.pdf?arnumber=10502021

Reference54 articles.

1. Super-Resolving Face Image by Facial Parsing Information

2. Guided Cascaded Super-Resolution Network for Face Image

3. Edge and identity preserving network for face super-resolution;Kim;Neurocomputing,2021

4. Learning Face Image Quality From Human Assessments

5. Making a “Completely Blind” Image Quality Analyzer

Cited by 1 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. Semantic-Aware Fusion Network Based on Super-Resolution;Sensors;2024-06-05

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