Study of Natural Scene Categories in Measurement of Perceived Image Quality-Reference-Cited by-同舟云学术

Study of Natural Scene Categories in Measurement of Perceived Image Quality

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yang Xiaohan¹^ORCID,Li Fan¹^ORCID,Li Leida²^ORCID,Gu Ke³^ORCID,Liu Hantao⁴^ORCID

Affiliation:

1. Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

2. School of Artificial Intelligence, Xidian University, Xi’an, China

3. Faculty of Information Technology, Beijing University of Technology, Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing Laboratory of Smart Environmental Protection, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Artificial Intelligence Institute, Beijing, China

4. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09721848.pdf?arnumber=9721848

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4. GraphIQA: Learning distortion graph representations for blind image quality assessment;sun;arXiv 2103 07666,2021

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