基于过滤—群聚注意力的低光增强递归网络-Reference-Cited by-同舟云学术

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基于过滤—群聚注意力的低光增强递归网络

Published:2023-07 Issue:7 Volume:24 Page:1028-1044
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Huang Zhixiong,Li Jinjiang^ORCID,Hua Zhen,Fan Linwei

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.2200344.pdf

Reference61 articles.

1. Abdullah-Al-Wadud M, Kabir H, Dewan MAA, et al., 2007. A dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron, 53(2):593–600. https://doi.org/10.1109/TCE.2007.381734

2. Aradi S, 2022. Survey of deep reinforcement learning for motion planning of autonomous vehicles. IEEE Trans Intell Transp Syst, 23(2):740–759. https://doi.org/10.1109/TITS.2020.3024655

3. Bychkovsky V, Paris S, Chan E, et al., 2011. Learning photographic global tonal adjustment with a database of input/output image pairs. IEEE/CVF Conf on Computer Vision and Pattern Recognition, p.97–104. https://doi.org/10.1109/CVPR.2011.5995413

4. Celik T, Tjahjadi T, 2011. Contextual and variational contrast enhancement. IEEE Trans Image Process, 20(12):3431–3441. https://doi.org/10.1109/TIP.2011.2157513

5. Chen BH, Wu YL, Shi LF, 2019. A fast image contrast enhancement algorithm using entropy-preserving mapping prior. IEEE Trans Circ Syst Video Technol, 29(1):38–49. https://doi.org/10.1109/TCSVT.2017.2773461

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