MLTDNet: an efficient multi-level transformer network for single image deraining-Reference-Cited by-同舟云学术

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MLTDNet: an efficient multi-level transformer network for single image deraining

Published:2022-04-20 Issue:16 Volume:34 Page:14013-14027
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Gao Feng,Mu Xiangyu^ORCID,Ouyang Chao,Yang Kai,Ji Shengchang,Guo Jie,Wei Haokun,Wang Nan,Ma Lei,Yang Biao

Funder

the Shenzhen Science and Technology Program

the HITSZ-J&A Joint Laboratory of Digital Design and Intelligent Fabrication

State Grid Shaanxi Electric Power Company Limited

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07226-0.pdf

Reference45 articles.

1. Kim J, Sim J, Kim C (2015) Video deraining and desnowing using temporal correlation and low-rank matrix completion. IEEE Trans Image Process 24(9):2658–2670. https://doi.org/10.1109/TIP.2015.2428933

2. Chen H, Wang Y, Guo T, Xu C, Deng Y, Liu Z, Ma S, Xu C, Xu C, Gao W (2021) Pre-trained image processing transformer. In: IEEE conference on computer vision and pattern recognition, pp. 12299–12310

3. Ma T, Huang T, Zhao X, Lou Y (2017) Image deblurring with an inaccurate blur kernel using a group-based low-rank image prior. Inf Sci 408:213–233. https://doi.org/10.1016/j.ins.2017.04.049

4. Alajarmeh A, Salam RA, Abdulrahim K, Marhusin MF, Zaidan AA, Zaidan BB (2018) Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation. Inf Sci 436–437:108–130. https://doi.org/10.1016/j.ins.2018.01.009

5. Kang L, Lin C, Fu Y (2012) Automatic single-image-based rain streaks removal via image decomposition. IEEE Trans Image Process 21(4):1742–1755. https://doi.org/10.1109/TIP.2011.2179057

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