PID<sup>2</sup>Net: A Neural Network for Joint Underwater Polarimetric Images Descattering and Denoising-Reference-Cited by-同舟云学术

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PID²Net: A Neural Network for Joint Underwater Polarimetric Images Descattering and Denoising

Published:2024-09-01 Issue:17 Volume:24 Page:27803-27814
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Liu Hedong¹,Zhang Wenjie²,Han Yilin³,Li Xiaobo¹^ORCID,Liu Tiegen³^ORCID,Zhai Jingsheng¹^ORCID,Mao Yefei⁴,Xiao Lin⁴,Hu Haofeng¹^ORCID

Affiliation:

1. School of Marine Science and Technology, Tianjin University, Tianjin, China

2. China Nuclear Power Engineering Company Ltd., Beijing, China

3. Key Laboratory of Opto-Electronics Information Technology, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China

4. China Academy of Aerospace Science and Innovation, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10660640/10608060.pdf?arnumber=10608060

Reference34 articles.

1. Evaluation of Laser Image Enhancement and Restoration for Underwater Object Recognition

2. Deep Learning Algorithms for Sonar Imagery Analysis and Its Application in Aquaculture: A Review

3. Underwater image de-scattering and classification by deep neural network

4. Multi-scale adversarial network for underwater image restoration

5. Mixture contrast limited adaptive histogram equalization for underwater image enhancement

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