{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T07:39:35Z","timestamp":1782459575282,"version":"3.54.5"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s00034-025-03009-9","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T18:52:12Z","timestamp":1738954332000},"page":"4198-4223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["FoNet: Focused Network for Single Image Deraining"],"prefix":"10.1007","volume":"44","author":[{"given":"Sambasiva Rao","family":"Gumma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0874-6264","authenticated-orcid":false,"given":"Balaram Murthy","family":"Chintakindi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"issue":"6","key":"3009_CR1","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1080\/02564602.2023.2176932","volume":"40","author":"BM Chintakindi","year":"2023","unstructured":"B.M. Chintakindi, M.F. Hashmi, SSAD: Single-shot multi-scale attentive detector for autonomous driving. IETE Tech. Rev. 40(6), 793\u2013805 (2023). https:\/\/doi.org\/10.1080\/02564602.2023.2176932","journal-title":"IETE Tech. Rev."},{"key":"3009_CR2","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-031-20071-7_2","volume-title":"Computer vision\u2014ECCV 2022: 17th European conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part VII","author":"L Chen","year":"2022","unstructured":"L. Chen, X. Chu, X. Zhang, J. Sun, Simple baselines for image restoration, in Computer vision\u2014ECCV 2022: 17th European conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part VII. ed. by S. Avidan, G. Brostow, M. Ciss\u00e9, G.M. Farinella, T. Hassner (Springer Nature Switzerland, Cham, 2022), pp.17\u201333. https:\/\/doi.org\/10.1007\/978-3-031-20071-7_2"},{"issue":"29","key":"3009_CR3","doi-asserted-by":"publisher","first-page":"42889","DOI":"10.1007\/s11042-022-13489-5","volume":"81","author":"D Zhu","year":"2022","unstructured":"D. Zhu, S. Deng, W. Wang, G. Cheng, M. Wei, F.L. Wang, H. Xie, HDRD-Net: high-resolution detail-recovering image deraining network. Multimed Tools Appl 81(29), 42889\u201342906 (2022)","journal-title":"Multimed Tools Appl"},{"key":"3009_CR4","unstructured":"Mohseni, P., Duffield, N., Mallick, B., & Hasanzadeh, A. (2023). Adaptive conditional quantile neural processes. In Uncertainty in Artificial Intelligence (pp. 1445\u20131455). PMLR, 2023."},{"key":"3009_CR5","doi-asserted-by":"crossref","unstructured":"Mughrabi, A. T., Baradaran, M., Samara, A., & Skadron, K. (2024, May). ECG: Expressing Locality and Prefetching for Optimal Caching in Graph Structures. In: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp. 520\u2013525).","DOI":"10.1109\/IPDPSW63119.2024.00105"},{"key":"3009_CR6","doi-asserted-by":"crossref","unstructured":"Murthy, C. B., & Hashmi, M. F. (2020, November). Real time pedestrian detection using robust enhanced YOLOv3+. In: 2020 21st International Arab Conference on Information Technology (ACIT) (pp. 1\u20135). IEEE","DOI":"10.1109\/ACIT50332.2020.9300053"},{"issue":"3","key":"3009_CR7","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s13735-021-00212-7","volume":"10","author":"CB Murthy","year":"2021","unstructured":"C.B. Murthy, M.F. Hashmi, A.G. Keskar, Optimized MobileNet\u2009+\u2009SSD: a real-time pedestrian detection on a low-end edge device. Int. J. Multimed. Inform. Retrieval 10(3), 171\u2013184 (2021). https:\/\/doi.org\/10.1007\/s13735-021-00212-7","journal-title":"Int. J. Multimed. Inform. Retrieval"},{"key":"3009_CR8","doi-asserted-by":"crossref","unstructured":"Luo, Y., Xu, Y., & Ji, H. (2015). Removing rain from a single image via discriminative sparse coding. In: Proceedings of the IEEE international conference on computer vision (pp. 3397\u20133405)","DOI":"10.1109\/ICCV.2015.388"},{"key":"3009_CR9","doi-asserted-by":"crossref","unstructured":"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\u20133112).","DOI":"10.1109\/CVPR42600.2020.00317"},{"key":"3009_CR10","doi-asserted-by":"crossref","unstructured":"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\u20131366)","DOI":"10.1109\/CVPR.2017.183"},{"key":"3009_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, H., & Patel, V. M. (2018). Density-aware single image de-raining using a multi-stream dense network. In: Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 695\u2013704)","DOI":"10.1109\/CVPR.2018.00079"},{"key":"3009_CR12","doi-asserted-by":"crossref","unstructured":"Deng, S., Wei, M., Wang, J., Feng, Y., Liang, L., Xie, H., & Wang, M. (2020). Detail-recovery image deraining via context aggregation networks. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 14560\u201314569)","DOI":"10.1109\/CVPR42600.2020.01457"},{"issue":"6","key":"3009_CR13","doi-asserted-by":"publisher","first-page":"1794","DOI":"10.1109\/TNNLS.2019.2926481","volume":"31","author":"X Fu","year":"2019","unstructured":"X. Fu, B. Liang, Y. Huang, X. Ding, J. Paisley, Lightweight pyramid networks for image deraining. IEEE Transact Neural Netw Learn Syst 31(6), 1794\u20131807 (2019)","journal-title":"IEEE Transact Neural Netw Learn Syst"},{"key":"3009_CR14","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., & He, K. (2018). Non-local neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 7794\u20137803)","DOI":"10.1109\/CVPR.2018.00813"},{"key":"3009_CR15","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., & Sun, G. (2018). Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 7132\u20137141)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"3009_CR16","doi-asserted-by":"crossref","unstructured":"Li, Y., Tan, R. T., Guo, X., Lu, J., & Brown, M. S. (2016). Rain streak removal using layer priors. In: Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2736\u20132744)","DOI":"10.1109\/CVPR.2016.299"},{"key":"3009_CR17","doi-asserted-by":"crossref","unstructured":"Jiang, K., Wang, Z., Yi, P., Chen, C., Huang, B., Luo, Y., & Jiang, J. (2020). Multi-scale progressive fusion network for single image deraining. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 8346\u20138355)","DOI":"10.1109\/CVPR42600.2020.00837"},{"key":"3009_CR18","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1109\/TIP.2020.3048625","volume":"30","author":"X Hu","year":"2021","unstructured":"X. Hu, L. Zhu, T. Wang, C.W. Fu, P.A. Heng, Single-image real-time rain removal based on depth-guided non-local features. IEEE Trans. Image Process. 30, 1759\u20131770 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"3009_CR19","doi-asserted-by":"publisher","first-page":"1352","DOI":"10.1609\/aaai.v35i2.16224","volume":"35","author":"X Fu","year":"2021","unstructured":"X. Fu, Q. Qi, Z.J. Zha, Y. Zhu, X. Ding, Rain streak removal via dual graph convolutional network. Proceed AAAI Conf Artif Intell 35(2), 1352\u20131360 (2021). https:\/\/doi.org\/10.1609\/aaai.v35i2.16224","journal-title":"Proceed AAAI Conf Artif Intell"},{"key":"3009_CR20","doi-asserted-by":"crossref","unstructured":"Yu, Y., Yang, W., Tan, Y. P., & Kot, A. C. (2022). Towards robust rain removal against adversarial attacks: A comprehensive benchmark analysis and beyond. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (pp. 6013\u20136022)","DOI":"10.1109\/CVPR52688.2022.00592"},{"key":"3009_CR21","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.neucom.2021.10.029","volume":"467","author":"C Wang","year":"2022","unstructured":"C. Wang, H. Zhu, W. Fan, X.M. Wu, J. Chen, Single image rain removal using recurrent scale-guide networks. Neurocomputing 467, 242\u2013255 (2022)","journal-title":"Neurocomputing"},{"key":"3009_CR22","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1007\/978-3-030-01234-2_16","volume-title":"Computer vision\u2014ECCV 2018: 15th European Conference, Munich, Germany, September 8\u201314, 2018, Proceedings, Part VII","author":"X Li","year":"2018","unstructured":"X. Li, J. Wu, Z. Lin, H. Liu, H. Zha, Recurrent squeeze-and-excitation context aggregation net for single image deraining, in Computer vision\u2014ECCV 2018: 15th European Conference, Munich, Germany, September 8\u201314, 2018, Proceedings, Part VII. ed. by V. Ferrari, M. Hebert, C. Sminchisescu, Y. Weiss (Springer International Publishing, Cham, 2018), pp.262\u2013277. https:\/\/doi.org\/10.1007\/978-3-030-01234-2_16"},{"key":"3009_CR23","doi-asserted-by":"crossref","unstructured":"Yang, Y., & Lu, H. (2019, October). Single image deraining via recurrent hierarchy enhancement network. In: Proceedings of the 27th ACM International conference on multimedia (pp. 1814\u20131822)","DOI":"10.1145\/3343031.3351149"},{"key":"3009_CR24","doi-asserted-by":"crossref","unstructured":"Ren, D., Zuo, W., Hu, Q., Zhu, P., & Meng, D. (2019). Progressive image deraining networks: A better and simpler baseline. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition\u00a0(pp. 3937\u20133946).","DOI":"10.1109\/CVPR.2019.00406"},{"issue":"6","key":"3009_CR25","doi-asserted-by":"publisher","first-page":"2944","DOI":"10.1109\/TIP.2017.2691802","volume":"26","author":"X Fu","year":"2017","unstructured":"X. Fu, J. Huang, X. Ding, Y. Liao, J. Paisley, Clearing the skies: a deep network architecture for single-image rain removal. IEEE Trans. Image Process. 26(6), 2944\u20132956 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"3009_CR26","doi-asserted-by":"crossref","unstructured":"Yasarla, R., & Patel, V. M. (2019). Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 8405\u20138414)","DOI":"10.1109\/CVPR.2019.00860"},{"key":"3009_CR27","doi-asserted-by":"publisher","first-page":"177495","DOI":"10.1109\/ACCESS.2020.3024542","volume":"8","author":"S Sharma","year":"2020","unstructured":"S. Sharma, B. Tang, J.E. Ball, D.W. Carruth, L. Dabbiru, Recursive multi-scale image deraining with sub-pixel convolution based feature fusion and context aggregation. IEEE Access 8, 177495\u2013177505 (2020)","journal-title":"IEEE Access"},{"issue":"1","key":"3009_CR28","doi-asserted-by":"publisher","first-page":"012041","DOI":"10.1088\/1742-6596\/2035\/1\/012041","volume":"2035","author":"X Pan","year":"2021","unstructured":"X. Pan, Y. Yang, C. Yang, C. Wang, A. Tan, Two-stage fusion model for heavy rain removal on single image. J. Phys. Conf. Series 2035(1), 012041 (2021). https:\/\/doi.org\/10.1088\/1742-6596\/2035\/1\/012041","journal-title":"J. Phys. Conf. Series"},{"key":"3009_CR29","doi-asserted-by":"crossref","unstructured":"Ye, Y., Chang, Y., Zhou, H., & Yan, L. (2021). Closing the loop: Joint rain generation and removal via disentangled image translation. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 2053\u20132062).","DOI":"10.1109\/CVPR46437.2021.00209"},{"key":"3009_CR30","doi-asserted-by":"crossref","unstructured":"Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Yang, M. H., & Shao, L. (2021). Multi-stage progressive image restoration. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 14821\u201314831)","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"3009_CR31","doi-asserted-by":"publisher","first-page":"6843","DOI":"10.1109\/TIP.2021.3099396","volume":"30","author":"M Cao","year":"2021","unstructured":"M. Cao, Z. Gao, B. Ramesh, T. Mei, J. Cui, A two-stage density-aware single image deraining method. IEEE Trans. Image Process. 30, 6843\u20136854 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"3009_CR32","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/LSP.2022.3154981","volume":"29","author":"H Yin","year":"2022","unstructured":"H. Yin, H. Deng, RAiA-Net: A multi-stage network with refined attention in attention module for single image deraining. IEEE Signal Process. Lett. 29, 747\u2013751 (2022)","journal-title":"IEEE Signal Process. Lett."},{"key":"3009_CR33","doi-asserted-by":"crossref","unstructured":"Ragini, T., & Prakash, K. (2022, December). Progressive multi-scale deraining network. In: 2022 IEEE International Symposium on Smart Electronic Systems (iSES) (pp. 231\u2013235). IEEE.","DOI":"10.1109\/iSES54909.2022.00054"},{"key":"3009_CR34","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-031-31417-9_12","volume-title":"Computer vision and image processing: 7th international conference, CVIP 2022, Nagpur, India, November 4\u20136, 2022, Revised Selected Papers, Part II","author":"T Ragini","year":"2023","unstructured":"T. Ragini, K. Prakash, Rain Streak Removal via Spatio-Channel Based Spectral Graph CNN for Image Deraining, in Computer vision and image processing: 7th international conference, CVIP 2022, Nagpur, India, November 4\u20136, 2022, Revised Selected Papers, Part II. ed. by D. Gupta, K. Bhurchandi, S. Murala, B. Raman, S. Kumar (Springer Nature Switzerland, Cham, 2023), pp.149\u2013160. https:\/\/doi.org\/10.1007\/978-3-031-31417-9_12"},{"issue":"3","key":"3009_CR35","doi-asserted-by":"publisher","first-page":"4683","DOI":"10.32604\/cmc.2024.051844","volume":"79","author":"R Thatikonda","year":"2024","unstructured":"R. Thatikonda, P. Kodali, R. Cheruku, K.V. Eswaramoorthy, Joint rain streaks & haze removal network for object detection. Comput. Mater. Continua 79(3), 4683 (2024)","journal-title":"Comput. Mater. Continua"},{"key":"3009_CR36","doi-asserted-by":"crossref","unstructured":"Cui, Y., Ren, W., Cao, X., & Knoll, A. (2023). Focal network for image restoration. In: Proceedings of the IEEE\/CVF international conference on computer vision (pp. 13001\u201313011)","DOI":"10.1109\/ICCV51070.2023.01195"},{"key":"3009_CR37","doi-asserted-by":"publisher","first-page":"104710","DOI":"10.1016\/j.dsp.2024.104710","volume":"155","author":"N Raju","year":"2024","unstructured":"N. Raju, K. Srinivas, TSMD-Net: a two-stage mixed dehazing network with feature fusion and multi-window Self Attention on Jetson board. Digital Signal Process. 155, 104710 (2024). https:\/\/doi.org\/10.1016\/j.dsp.2024.104710","journal-title":"Digital Signal Process."},{"key":"3009_CR38","doi-asserted-by":"publisher","first-page":"26086","DOI":"10.1109\/ACCESS.2023.3257344","volume":"11","author":"G Kim","year":"2023","unstructured":"G. Kim, S. Cho, D. Kwon, S.H. Lee, J. Kwon, Dual gradient based snow attentive desnowing. IEEE Access 11, 26086\u201326098 (2023)","journal-title":"IEEE Access"},{"issue":"1","key":"3009_CR39","doi-asserted-by":"publisher","first-page":"9953198","DOI":"10.1155\/2023\/9953198","volume":"2023","author":"C Long","year":"2023","unstructured":"C. Long, X. Li, Y. Jing, H. Shen, Bishift networks for thick cloud removal with multitemporal remote sensing images. Int. J. Intell. Syst. 2023(1), 9953198 (2023)","journal-title":"Int. J. Intell. Syst."},{"issue":"2","key":"3009_CR40","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/s11571-023-10015-7","volume":"18","author":"Q Zheng","year":"2024","unstructured":"Q. Zheng, S. Saponara, X. Tian, Z. Yu, A. Elhanashi, R. Yu, A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT. Cogn. Neurodyn. 18(2), 659\u2013671 (2024)","journal-title":"Cogn. Neurodyn."},{"issue":"10","key":"3009_CR41","doi-asserted-by":"publisher","first-page":"596","DOI":"10.3390\/drones7100596","volume":"7","author":"Q Zheng","year":"2023","unstructured":"Q. Zheng, X. Tian, Z. Yu, Y. Ding, A. Elhanashi, S. Saponara, K. Kpalma, MobileRaT: a lightweight radio transformer method for automatic modulation classification in Drone communication systems. Drones 7(10), 596 (2023)","journal-title":"Drones"},{"issue":"12","key":"3009_CR42","doi-asserted-by":"publisher","first-page":"7204","DOI":"10.1002\/int.22586","volume":"36","author":"Q Zheng","year":"2021","unstructured":"Q. Zheng, P. Zhao, D. Zhang, H. Wang, MR-DCAE: manifold regularization-based deep convolutional autoencoder for unauthorized broadcasting identification. Int. J. Intell. Syst. 36(12), 7204\u20137238 (2021)","journal-title":"Int. J. Intell. Syst."},{"key":"3009_CR43","doi-asserted-by":"crossref","unstructured":"Baradaran, M., Ansari, A., Sadrosadati, M., & Sarbazi-Azad, H. (2023, October). Energy Consumption Analysis of Instruction Cache Prefetching Methods. In: 2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) (pp. 60\u201367). IEEE","DOI":"10.1109\/SBAC-PADW60351.2023.00019"},{"key":"3009_CR44","doi-asserted-by":"crossref","unstructured":"Imani, H., Amirany, A., & El-Ghazawi, T. (2024). Mixture of experts with mixture of precisions for tuning quality of service. arXiv preprint arXiv:2407.14417.","DOI":"10.1109\/ICRC64395.2024.10937027"},{"key":"3009_CR45","doi-asserted-by":"crossref","unstructured":"Mahmoodpour, M., Amirany, A., Moaiyeri, M. H., & Jafari, K. (2022, February). A learning based contrast specific no reference image quality assessment algorithm. In: 2022 International Conference on Machine Vision and Image Processing (MVIP) (pp. 1\u20134). IEEE.","DOI":"10.1109\/MVIP53647.2022.9738784"},{"key":"3009_CR46","unstructured":"Mohseni, P., & Duffield, N. (2024). Spectral Convolutional Conditional Neural Processes.\u00a0arXiv preprint arXiv:2404.13182"},{"issue":"4","key":"3009_CR47","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s11265-023-01870-y","volume":"95","author":"H Shafaghi","year":"2023","unstructured":"H. Shafaghi, M. Kiani, A. Amirany, K. Jafari, M.H. Moaiyeri, A fast and light fingerprint-matching model based on deep learning approaches. J. Signal Process. Syst. 95(4), 551\u2013558 (2023)","journal-title":"J. Signal Process. Syst."},{"issue":"4","key":"3009_CR48","doi-asserted-by":"publisher","first-page":"9541","DOI":"10.1109\/LRA.2022.3192200","volume":"7","author":"K Wang","year":"2022","unstructured":"K. Wang, T. Wang, J. Qu, H. Jiang, Q. Li, L. Chang, An end-to-end cascaded image deraining and object detection neural network. IEEE Robot. Automat. Lett. 7(4), 9541\u20139548 (2022)","journal-title":"IEEE Robot. Automat. Lett."},{"key":"3009_CR49","unstructured":"Kingma, D. P., & Ba, J. (2014). Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980."},{"key":"3009_CR50","unstructured":"Loshchilov, I., & Hutter, F. (2016). Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983"},{"key":"3009_CR51","doi-asserted-by":"crossref","unstructured":"Wang, H., Xie, Q., Zhao, Q., Li, Y., Liang, Y., Zheng, Y., & Meng, D. (2023). RCDNet: An interpretable rain convolutional dictionary network for single image deraining. IEEE Transactions on Neural Networks and Learning Systems.","DOI":"10.1109\/TNNLS.2022.3231453"},{"key":"3009_CR52","doi-asserted-by":"crossref","unstructured":"Fu, X., Huang, J., Zeng, D., Huang, Y., Ding, X., & Paisley, J. (2017). Removing rain from single images via a deep detail network. In: Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3855\u20133863).","DOI":"10.1109\/CVPR.2017.186"},{"issue":"11","key":"3009_CR53","doi-asserted-by":"publisher","first-page":"3943","DOI":"10.1109\/TCSVT.2019.2920407","volume":"30","author":"H Zhang","year":"2019","unstructured":"H. Zhang, V. Sindagi, V.M. Patel, Image de-raining using a conditional generative adversarial network. IEEE Trans. Circuits Syst. Video Technol. 30(11), 3943\u20133956 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"3","key":"3009_CR54","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","volume":"20","author":"A Mittal","year":"2012","unstructured":"A. Mittal, R. Soundararajan, A.C. Bovik, Making a \u201ccompletely blind\u201d image quality analyzer. IEEE Signal Process. Lett. 20(3), 209\u2013212 (2012)","journal-title":"IEEE Signal Process. Lett."},{"issue":"8","key":"3009_CR55","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","volume":"20","author":"L Zhang","year":"2011","unstructured":"L. Zhang, L. Zhang, X. Mou et al., FSIM: a feature similarity index for image quality assessment. IEEE Trans. Image Process. 20(8), 2378\u20132386 (2011)","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"3009_CR56","doi-asserted-by":"publisher","first-page":"4270","DOI":"10.1109\/TIP.2014.2346028","volume":"23","author":"L Zhang","year":"2014","unstructured":"L. Zhang, Y. Shen, H. Li, VSI: a visual saliency-induced index for perceptual image quality assessment. IEEE Trans. Image Process. 23(10), 4270\u20134281 (2014)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"3009_CR57","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"A. Mittal, A.K. Moorthy, A.C. Bovik, No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"3009_CR58","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/TIP.2023.3334556","volume":"33","author":"Q Wang","year":"2023","unstructured":"Q. Wang, K. Jiang, Z. Wang, W. Ren, J. Zhang, C.W. Lin, Multi-scale fusion and decomposition network for single image deraining. IEEE Trans. Image Process. 33, 191\u2013204 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"3009_CR59","doi-asserted-by":"publisher","first-page":"127066","DOI":"10.1016\/j.neucom.2023.127066","volume":"568","author":"J Huang","year":"2024","unstructured":"J. Huang, Z. Tang, X. He, J. Zhou, D. Zhou, C.Y.C. Chen, Progressive network based on detail scaling and texture extraction: a more general framework for image deraining. Neurocomputing 568, 127066 (2024)","journal-title":"Neurocomputing"},{"key":"3009_CR60","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-01234-2_1","volume-title":"Computer Vision\u2014ECCV 2018: 15th European Conference, Munich, Germany, September 8\u201314, 2018, Proceedings, Part VII","author":"S Woo","year":"2018","unstructured":"S. Woo, J. Park, J.Y. Lee, I.S. Kweon, Cbam: Convolutional block attention module, in Computer Vision\u2014ECCV 2018: 15th European Conference, Munich, Germany, September 8\u201314, 2018, Proceedings, Part VII. ed. by V. Ferrari, M. Hebert, C. Sminchisescu, Y. Weiss (Springer International Publishing, Cham, 2018), pp.3\u201319. https:\/\/doi.org\/10.1007\/978-3-030-01234-2_1"},{"key":"3009_CR61","doi-asserted-by":"crossref","unstructured":"Zheng, S., Lu, C., Wu, Y., and Gupta, G. (2022) \u201cSAPNet: Segmentation-aware progressive network for perceptual contrastive deraining.\u201d In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision, pp. 52\u201362","DOI":"10.1109\/WACVW54805.2022.00011"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03009-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-025-03009-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03009-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T20:09:29Z","timestamp":1747253369000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-025-03009-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,7]]},"references-count":61,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["3009"],"URL":"https:\/\/doi.org\/10.1007\/s00034-025-03009-9","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,7]]},"assertion":[{"value":"27 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}