Underwater Image Quality Assessment Based on Multiscale and Antagonistic Energy-Reference-Cited by-同舟云学术

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Underwater Image Quality Assessment Based on Multiscale and Antagonistic Energy

Published:2024 Issue: Volume:73 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Li Xinyue¹^ORCID,Xu Haiyong¹^ORCID,Jiang Gangyi²^ORCID,Yu Mei²^ORCID,Chen Yeyao²^ORCID,Luo Ting²^ORCID,Ying Hongwei³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Ningbo University, Ningbo, China

2. Faculty of Information Science and Engineering, Ningbo University, Ningbo, China

3. School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China

Funder

Natural Science Foundation of China

Zhejiang Natural Science Foundation of China

Natural Science Foundation of Ningbo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10339343.pdf?arnumber=10339343

Reference41 articles.

1. A Two-Stage Underwater Enhancement Network Based on Structure Decomposition and Characteristics of Underwater Imaging

2. UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images

3. Effective and Efficient Blind Quality Evaluator for Contrast Distorted Images

4. Blind Omnidirectional Image Quality Assessment Based on Structure and Natural Features

5. Perceptual image quality assessment: a survey

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. OmiQnet: Multiscale feature aggregation convolutional neural network for omnidirectional image assessment;Applied Intelligence;2024-04

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