LPMsDE: Multi-Scale Denoising and Enhancement Method Based on Laplacian Pyramid Framework for Forward-Looking Sonar Image-Reference-Cited by-同舟云学术

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LPMsDE: Multi-Scale Denoising and Enhancement Method Based on Laplacian Pyramid Framework for Forward-Looking Sonar Image

Published:2023 Issue: Volume:11 Page:132942-132954
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Zhisen¹,Li Zhuoyi²,Teng Xuanxuan³,Chen Deshan¹^ORCID

Affiliation:

1. State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan, China

2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China

3. School of Electric and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province of China

Science Foundation of Educational Commission of Hubei Province of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10325512.pdf?arnumber=10325512

Reference58 articles.

1. A Novel Sonar Image Denoising Algorithm based on Block Matching

2. Image enhancement through multi-scale alpha-rooting processing for remote sensing application

3. Robust Image Denoising for Sonar Imagery

4. An improved algorithm based on CLAHE for ultrasonic well logging image enhancement

5. Performance analysis of various wavelet thresholding techniques for despeckiling of sonar images

Cited by 2 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. SimNFND: A Forward-Looking Sonar Denoising Model Trained on Simulated Noise-Free and Noisy Data;Remote Sensing;2024-07-31

2. An Underwater Image Denoising Method Based on High-Frequency Abrupt Signal Separation and Hybrid Attention Mechanism;Sensors;2024-07-15

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