UIEGAN: Adversarial Learning-Based Photorealistic Image Enhancement for Intelligent Underwater Environment Perception-Reference-Cited by-同舟云学术

UIEGAN: Adversarial Learning-Based Photorealistic Image Enhancement for Intelligent Underwater Environment Perception

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Guangjie¹^ORCID,Wang Min²,Zhu Hongbo³,Lin Chuan⁴

Affiliation:

1. Department of Internet of Things Engineering, Hohai University, Changzhou, China

2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China

3. School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China

4. Software College, Northeastern University, Shenyang, China

Funder

Joint Funds of the National Natural Science Foundation of China

National Natural Science Foundation of China

Open Fund of the State Key Laboratory of Acoustics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10138891.pdf?arnumber=10138891

Reference66 articles.

1. Fingerprint enhancement using STFT analysis

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3. Underwater single image color restoration using haze-lines and a new quantitative dataset;berman;IEEE Trans Pattern Anal Mach Intell,2021

4. Human-Visual-System-Inspired Underwater Image Quality Measures

5. Underwater Image Enhancement With a Deep Residual Framework

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