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Que, Y., Li, S., & Lee, H. J. (2020). Attentive composite residual network for robust rain removal from single images. IEEE Transactions on Multimedia, 23, 3059-3072.QueY.LiS.LeeH. J. (2020). Attentive composite residual network for robust rain removal from single images. IEEE Transactions on Multimedia, 23, 3059-3072.Search in Google Scholar
Fu, Y. H., Kang, L. W., Lin, C. W., & Hsu, C. T. (2011, May). Single-frame-based rain removal via image decomposition. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1453-1456). IEEE.FuY. H.KangL. W.LinC. W.HsuC. T. (2011, May). Single-frame-based rain removal via image decomposition. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1453-1456). IEEE.Search in Google Scholar
Jin, X., Chen, Z., & Li, W. (2020). AI-GAN: Asynchronous interactive generative adversarial network for single image rain removal. Pattern Recognition, 100, 107143.JinX.ChenZ.LiW. (2020). AI-GAN: Asynchronous interactive generative adversarial network for single image rain removal. Pattern Recognition, 100, 107143.Search in Google Scholar
Kang, L. W., Lin, C. W., & Fu, Y. H. (2011). Automatic single-image-based rain streaks removal via image decomposition. IEEE transactions on image processing, 21(4), 1742-1755.KangL. W.LinC. W.FuY. H. (2011). Automatic single-image-based rain streaks removal via image decomposition. IEEE transactions on image processing, 21(4), 1742-1755.Search in Google Scholar
Sun, S. H., Fan, S. P., & Wang, Y. C. F. (2014, October). Exploiting image structural similarity for single image rain removal. In 2014 IEEE International Conference on Image Processing (ICIP) (pp. 4482-4486). IEEE.SunS. H.FanS. P.WangY. C. F. (2014, October). Exploiting image structural similarity for single image rain removal. In 2014 IEEE International Conference on Image Processing (ICIP) (pp. 4482-4486). IEEE.Search in Google Scholar
Deng, L. J., Huang, T. Z., Zhao, X. L., & Jiang, T. X. (2018). A directional global sparse model for single image rain removal. Applied Mathematical Modelling, 59, 662-679.DengL. J.HuangT. Z.ZhaoX. L.JiangT. X. (2018). A directional global sparse model for single image rain removal. Applied Mathematical Modelling, 59, 662-679.Search in Google Scholar
Wang, C., Zhu, H., Fan, W., Wu, X. M., & Chen, J. (2022). Single image rain removal using recurrent scale-guide networks. Neurocomputing, 467, 242-255.WangC.ZhuH.FanW.WuX. M.ChenJ. (2022). Single image rain removal using recurrent scale-guide networks. Neurocomputing, 467, 242-255.Search in Google Scholar
Yang, W., Tan, R. T., Feng, J., Liu, J., Guo, Z., & Yan, S. (2017). Deep joint rain detection and removal from a single image. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1357-1366).YangW.TanR. T.FengJ.LiuJ.GuoZ.YanS. (2017). Deep joint rain detection and removal from a single image. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1357-1366).Search in Google Scholar
Xue, P., & He, H. (2021). Research of Single Image Rain Removal Algorithm Based on LBP-CGAN Rain Generation Method. Mathematical Problems in Engineering, 2021(1), 8865843.XueP.HeH. (2021). Research of Single Image Rain Removal Algorithm Based on LBP-CGAN Rain Generation Method. Mathematical Problems in Engineering, 2021(1), 8865843.Search in Google Scholar
Wu, Q., Wang, L., Ngan, K. N., Li, H., Meng, F., & Xu, L. (2020). Subjective and objective de-raining quality assessment towards authentic rain image. IEEE Transactions on Circuits and Systems for Video Technology, 30(11), 3883-3897.WuQ.WangL.NganK. N.LiH.MengF.XuL. (2020). Subjective and objective de-raining quality assessment towards authentic rain image. IEEE Transactions on Circuits and Systems for Video Technology, 30(11), 3883-3897.Search in Google Scholar
Wan, Y., Cheng, Y., Shao, M., & Gonzalez, J. (2022). Image rain removal and illumination enhancement done in one go. Knowledge-Based Systems, 252, 109244.WanY.ChengY.ShaoM.GonzalezJ. (2022). Image rain removal and illumination enhancement done in one go. Knowledge-Based Systems, 252, 109244.Search in Google Scholar
Wang, H., Xie, Q., Wu, Y., Zhao, Q., & Meng, D. (2020). Single image rain streaks removal: a review and an exploration. International Journal of Machine Learning and Cybernetics, 11, 853-872.WangH.XieQ.WuY.ZhaoQ.MengD. (2020). Single image rain streaks removal: a review and an exploration. International Journal of Machine Learning and Cybernetics, 11, 853-872.Search in Google Scholar
Hu, X., Zhu, L., Wang, T., Fu, C. W., & Heng, P. A. (2021). Single-image real-time rain removal based on depth-guided non-local features. IEEE Transactions on Image Processing, 30, 1759-1770.HuX.ZhuL.WangT.FuC. W.HengP. A. (2021). Single-image real-time rain removal based on depth-guided non-local features. IEEE Transactions on Image Processing, 30, 1759-1770.Search in Google Scholar
Yuan, Z., Zhao, Y., Wang, Y., & Zuo, X. (2024, March). Design and Implementation of Single Image Rain Removal System Based on Deep Learning. In 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) (pp. 1205-1208). IEEE.YuanZ.ZhaoY.WangY.ZuoX. (2024, March). Design and Implementation of Single Image Rain Removal System Based on Deep Learning. In 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) (pp. 1205-1208). IEEE.Search in Google Scholar
Fu, X., Huang, J., Ding, X., Liao, Y., & Paisley, J. (2017). Clearing the skies: A deep network architecture for single-image rain removal. IEEE Transactions on Image Processing, 26(6), 2944-2956.FuX.HuangJ.DingX.LiaoY.PaisleyJ. (2017). Clearing the skies: A deep network architecture for single-image rain removal. IEEE Transactions on Image Processing, 26(6), 2944-2956.Search in Google Scholar
Su, Z., Zhang, Y., Shi, J., & Zhang, X. P. (2023). A Survey of Single Image Rain Removal Based on Deep Learning. ACM Computing Surveys, 56(4), 1-35.SuZ.ZhangY.ShiJ.ZhangX. P. (2023). A Survey of Single Image Rain Removal Based on Deep Learning. ACM Computing Surveys, 56(4), 1-35.Search in Google Scholar
Wang, H., Xie, Q., Zhao, Q., & Meng, D. (2020). A model-driven deep neural network for single image rain removal. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 3103-3112).WangH.XieQ.ZhaoQ.MengD. (2020). A model-driven deep neural network for single image rain removal. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 3103-3112).Search in Google Scholar
Dodkey, N. (2017). Rain streaks detection and removal in image based on entropy maximization and background estimation. International Journal of Computer Applications, 975, 8887.DodkeyN. (2017). Rain streaks detection and removal in image based on entropy maximization and background estimation. International Journal of Computer Applications, 975, 8887.Search in Google Scholar
Han, Y. K., Jung, S. W., Kwon, H. J., & Lee, S. H. (2023). Rainwater-Removal Image Conversion Learning with Training Pair Augmentation. Entropy, 25(1), 118.HanY. K.JungS. W.KwonH. J.LeeS. H. (2023). Rainwater-Removal Image Conversion Learning with Training Pair Augmentation. Entropy, 25(1), 118.Search in Google Scholar
Yeon Sub Sim,Chun Kwon Lee,Jae Sang Hwang,Gu Young Kwon & Seung Jin Chang. (2025). AI-based remaining useful life prediction for transmission systems: Integrating operating conditions with TimeGAN and CNN-LSTM networks. Electric Power Systems Research111151-111151.SimYeon SubLeeChun KwonHwangJae SangKwonGu YoungChangSeung Jin (2025). AI-based remaining useful life prediction for transmission systems: Integrating operating conditions with TimeGAN and CNN-LSTM networks. Electric Power Systems Research111151-111151.Search in Google Scholar
Saurabh Agarwal & Ki Hyun Jung. (2023). Enhancing Low-Pass Filtering Detection on Small Digital Images Using Hybrid Deep Learning. Electronics(12).AgarwalSaurabhJungKi Hyun (2023). Enhancing Low-Pass Filtering Detection on Small Digital Images Using Hybrid Deep Learning. Electronics(12).Search in Google Scholar