Deep learning-based RGB-thermal image denoising: review and applications-Reference-Cited by-同舟云学术

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Deep learning-based RGB-thermal image denoising: review and applications

Published:2023-06-29 Issue:4 Volume:83 Page:11613-11641
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yu Yuan,Lee Boon Giin^ORCID,Pike Matthew,Zhang Qian,Chung Wan-Young

Funder

Science and Technology Innovation 2025 Major Project of Ningbo

Ningbo Municipal Bureau of Science and Technology

Natural Science Foundation of Zhejiang Province

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15916-7.pdf

Reference163 articles.

1. Abascal JFPJ, Bussod S, Ducros N, Si-Mohamed S, Douek P, Chappard C, Peyrin F (January 2021) A residual U-net network with image prior for 3D image denoising. In: 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands. IEEE, pp 1264–1268

2. Amal MFI, Wicaksono HPA, Prasetyo H (2020) Deep residual networks for impulsive noise suppression. In: 2020 27th International Conference on Telecommunications (ICT), Bali, Indonesia. IEEE, pp 1–5

3. Anwar S, Barnes N, Petersson L (2021) Attention-based real image restoration. IEEE Trans Neural Netw Learn Syst 1–11

4. Ashraf H, Jeong Y, Lee CH (2021) Underwater ambient-noise removing GAN based on magnitude and phase spectra. IEEE Access 9:24513–24530

5. Aspandi D, Martinez O, Sukno F, Binefa X (2019) Robust facial alignment with internal denoising auto-encoder. In: 2019 16th Conference on Computer and Robot Vision (CRV). IEEE, pp 143–150

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1. Denoising of poisson-corrupted microscopic biopsy images using fourth-order partial differential equation with ant colony optimization;Biomedical Signal Processing and Control;2024-07

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