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

Author:

Zhao Wenqing1ORCID,Li Mengwei2ORCID,Xu Lijiao2ORCID,Sun Yue2ORCID,Zhao Zhenbing3ORCID,Zhai Yongjie2ORCID

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)

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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