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Research and Implementation of Image Rain Removal Based on Deep Learning


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Yang F, Ren J, Lu Z, et al. Rain-component-aware capsule-GAN for single image de-raining [J]. Pattern Recognition: The Journal of the Pattern Recognition Society, 2022(123-). YangF RenJ LuZ Rain-component-aware capsule-GAN for single image de-raining [J] Pattern Recognition: The Journal of the Pattern Recognition Society 2022 123- Search in Google Scholar

Wei Y, Zhang Z, Zhang H, et al. A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining [J]. IEEE, 2019. WeiY ZhangZ ZhangH A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining [J] IEEE 2019 Search in Google Scholar

Porres I, Ahmad T, Rexha H, et al. Automatic exploratory performance testing using a discriminator neural network[C]// 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2020. PorresI AhmadT RexhaH Automatic exploratory performance testing using a discriminator neural network[C] 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) IEEE 2020 Search in Google Scholar

Yu C, Chang Y, Li Y, et al. Unsupervised Image Deraining: Optimization Model Driven Deep CNN[C]// MM '21: ACM Multimedia Conference. ACM, 2021. YuC ChangY LiY Unsupervised Image Deraining: Optimization Model Driven Deep CNN[C] MM '21: ACM Multimedia Conference ACM 2021 Search in Google Scholar

Lin X, Huang Q, Huang W, et al. Single Image Deraining via detail-guided Efficient Channel Attention Network [J]. Computers & Graphics, 2021, 97(2). LinX HuangQ HuangW Single Image Deraining via detail-guided Efficient Channel Attention Network [J] Computers & Graphics 2021 97 2 Search in Google Scholar

Yang W, Tan R T, Feng J, et al. Deep Joint Rain Detection and Removal from a Single Image [J]. 2016. YangW TanR T FengJ Deep Joint Rain Detection and Removal from a Single Image [J] 2016 Search in Google Scholar

Sakaridis, Christos, Dai, et al. Semantic Foggy Scene Understanding with Synthetic Data [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2018, 126(9):973–992. SakaridisChristos Dai Semantic Foggy Scene Understanding with Synthetic Data [J] INTERNATIONAL JOURNAL OF COMPUTER VISION 2018 126 9 973 992 Search in Google Scholar

Tang K, Yang J, Wang J. Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing[C]// Computer Vision & Pattern Recognition. IEEE, 2014. TangK YangJ WangJ Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing[C] Computer Vision & Pattern Recognition IEEE 2014 Search in Google Scholar

Mao X, Li Q, Xie H, et al. Least Squares Generative Adversarial Networks [J]. 2016. MaoX LiQ XieH Least Squares Generative Adversarial Networks [J] 2016 Search in Google Scholar

Wang Z, Chen J, Hoi S. Deep Learning for Image Super-resolution: A Survey [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, PP (99):1–1. WangZ ChenJ HoiS Deep Learning for Image Super-resolution: A Survey [J] IEEE Transactions on Pattern Analysis and Machine Intelligence 2020 PP 99 1 1 Search in Google Scholar

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