Blind image quality index with high-level Semantic Guidance and low-level fine-grained Representation-Reference-Cited by-同舟云学术

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Blind image quality index with high-level Semantic Guidance and low-level fine-grained Representation

Published:2024-10 Issue: Volume:600 Page:128151
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Hu Bo^ORCID,Zheng Jia,Li Leida,Gu Ke,Wang Shuaijian,Li Weisheng^ORCID,Gao Xinbo

Publisher

Elsevier BV

Reference50 articles.

1. Deep blind image quality assessment based on multiple instance regression;Liang;Neurocomputing,2021

2. Blind image quality assessment based on progressive multi-task learning;Li;Neurocomputing,2022

3. Blind image quality assessment based on joint log-contrast statistics;Li;Neurocomputing,2019

4. ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment;Ling;Neurocomputing,2022

5. Reduced reference image quality assessment using regularity of phase congruency;Liu;Neurocomputing,2014

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