A Multibranch Network With Multilayer Feature Fusion for No-Reference Image Quality Assessment-Reference-Cited by-同舟云学术

A Multibranch Network With Multilayer Feature Fusion for No-Reference Image Quality Assessment

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhao Wenqing¹^ORCID,Li Mengwei²^ORCID,Xu Lijiao²^ORCID,Sun Yue²^ORCID,Zhao Zhenbing³^ORCID,Zhai Yongjie²^ORCID

Affiliation:

1. School of Control and Computer Engineering and the Hebei Key Laboratory of Knowledge Computing for Energy and Power, North China Electric Power University, Baoding, Hebei, China

2. School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China

3. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, Hebei, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10535338.pdf?arnumber=10535338

Reference41 articles.

1. Progress in no-reference image quality assessment;Fang;J. Image Graph.,2021

2. The review of distortion-related image quality assessment;Yan;J. Image Graph.,2022

3. Image Quality Assessment: From Error Visibility to Structural Similarity

4. FSIM: A Feature Similarity Index for Image Quality Assessment

5. Reduced-reference image quality assessment using a wavelet-domain natural image statistic model

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