{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T11:03:24Z","timestamp":1782817404725,"version":"3.54.5"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T00:00:00Z","timestamp":1755648000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T00:00:00Z","timestamp":1755648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62301330"],"award-info":[{"award-number":["62301330"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62301330"],"award-info":[{"award-number":["62301330"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62301330"],"award-info":[{"award-number":["62301330"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s00371-025-04085-3","type":"journal-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T09:24:23Z","timestamp":1755681863000},"page":"11053-11067","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-weather Image Restoration via Histogram-Based Transformer Feature Enhancement"],"prefix":"10.1007","volume":"41","author":[{"given":"Yang","family":"Wen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anyu","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wuzhen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenming","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,20]]},"reference":[{"key":"4085_CR1","doi-asserted-by":"crossref","unstructured":"Jeya Maria\u00a0Jose Valanarasu, Rajeev Yasarla, and Vishal\u00a0M. Patel. Transweather: Transformer-based restoration of images degraded by adverse weather conditions. computer vision and pattern recognition, 2022","DOI":"10.1109\/CVPR52688.2022.00239"},{"key":"4085_CR2","doi-asserted-by":"crossref","unstructured":"Wen, Yang, Lai, Anyu, Qian, Bo, Wang, Hao, Shi, Wuzhen, Cao, Wenming: Multiple weather images restoration using the task transformer and adaptive mixup strategy. arXiv preprint arXiv:2409.03249 (2024)","DOI":"10.1007\/978-3-031-81806-6_18"},{"key":"4085_CR3","doi-asserted-by":"publisher","first-page":"6288","DOI":"10.1109\/TIP.2020.2990606","volume":"29","author":"D Yingjun","year":"2020","unstructured":"Yingjun, D., Jun, X., Zhen, X., Cheng, M.-M., Shao, L.: Conditional variational image deraining. IEEE Trans. Image Process. 29, 6288\u20136301 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"4085_CR4","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1109\/TIP.2013.2262284","volume":"22","author":"CO Ancuti","year":"2013","unstructured":"Ancuti, C.O., Ancuti, C.: Single image dehazing by multi-scale fusion. IEEE Trans. Image Process. 22(8), 3271\u20133282 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"4085_CR5","doi-asserted-by":"publisher","first-page":"4059","DOI":"10.1109\/TPAMI.2020.2995190","volume":"43","author":"W Yang","year":"2021","unstructured":"Yang, W., Tan, R.T., Wang, S., Fang, Y., Liu, J.: Single image deraining: From model-based to data-driven and beyond. IEEE Trans. Pattern Anal. Mach. Intell. 43, 4059\u20134077 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4085_CR6","doi-asserted-by":"crossref","unstructured":"Li, Xia, Wu, Jianlong, Lin, Zhouchen, Liu, Hong, Zha, Hongbin: Recurrent squeeze-and-excitation context aggregation net for single image deraining. Computer Vision \u2013 ECCV 2018, Lecture Notes in Computer Science, page 262\u2013277, Jan 2018","DOI":"10.1007\/978-3-030-01234-2_16"},{"key":"4085_CR7","doi-asserted-by":"crossref","unstructured":"Dana Berman, Tali Treibitz, and Shai Avidan. Non-local image dehazing. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016","DOI":"10.1109\/CVPR.2016.185"},{"key":"4085_CR8","doi-asserted-by":"crossref","unstructured":"Nicolas Hautiere, Jean-Philippe Tarel, and Didier Aubert. Towards fog-free in-vehicle vision systems through contrast restoration. 2007 IEEE Conference on Computer Vision and Pattern Recognition, Jun 2007","DOI":"10.1109\/CVPR.2007.383259"},{"key":"4085_CR9","doi-asserted-by":"crossref","unstructured":"Jie Luo, Tong Chang, and Qirong Bo. 2022 Multi-feature fusion network for single image dehazing. Pattern Recognition and Computer Vision,Lecture Notes in Computer Science, pp 127\u2013136","DOI":"10.1007\/978-3-031-18916-6_11"},{"key":"4085_CR10","doi-asserted-by":"crossref","unstructured":"Wenqi Ren, Si\u00a0Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang. Single image dehazing via multi-scale convolutional neural networks. Computer Vision \u2013 ECCV 2016,Lecture Notes in Computer Science, page 154\u2013169, Jan 2016","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"4085_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, He, Patel, Vishal\u00a0M. (2017): Convolutional sparse and low-rank coding-based rain streak removal. 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)","DOI":"10.1109\/WACV.2017.145"},{"key":"4085_CR12","doi-asserted-by":"crossref","unstructured":"Lei Zhu, Chi-Wing Fu, Dani Lischinski, and Pheng-Ann Heng. (2017) int bi-layer optimization for single-image rain streak removal. 2017 IEEE International Conference on Computer Vision (ICCV)","DOI":"10.1109\/ICCV.2017.276"},{"issue":"2","key":"4085_CR13","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/TIP.2018.2874285","volume":"28","author":"Y Wen","year":"2019","unstructured":"Wen, Y., Sheng, B., Li, P., Lin, W., Feng, D.: Deep color guided coarse-to-fine convolutional network cascade for depth image super-resolution. IEEE Trans. Image Process. 28(2), 994\u20131006 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"4085_CR14","doi-asserted-by":"publisher","first-page":"1742","DOI":"10.1109\/TIP.2011.2179057","volume":"21","author":"L-W Kang","year":"2012","unstructured":"Kang, L.-W., Lin, C.-W., Yu-Hsiang, F.: Automatic single-image-based rain streaks removal via image decomposition. IEEE Trans. Image Process. 21(4), 1742\u20131755 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"4085_CR15","doi-asserted-by":"crossref","unstructured":"Soo-Chang Pei, Yu-Tai Tsai, and Chen-Yu Lee: Removing rain and snow in a single image using saturation and visibility features. 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Jul 2014","DOI":"10.1109\/ICMEW.2014.6890551"},{"key":"4085_CR16","unstructured":"Jing Xu, Wei Zhao, Peng Liu, and Xianglong Tang. An improved guidance image based method to remove rain and snow in a single image. Computer and Information Science, Apr 2012"},{"key":"4085_CR17","doi-asserted-by":"crossref","unstructured":"Zheng, Xianhui, Liao, Yinghao, Guo, Wei, Fu, Xueyang, Ding, Xinghao: Single-image-based rain and snow removal using multi-guided filter. Neural Information Processing,Lecture Notes in Computer Science, page 258\u2013265 (Jan 2013)","DOI":"10.1007\/978-3-642-42051-1_33"},{"key":"4085_CR18","doi-asserted-by":"publisher","first-page":"25016","DOI":"10.1109\/ACCESS.2019.2900323","volume":"7","author":"Z Li","year":"2019","unstructured":"Li, Z., Zhang, J., Fang, Z., Huang, B., Jiang, X., Gao, Y., Hwang, J.-N.: Single image snow removal via composition generative adversarial networks. IEEE Access 7, 25016\u201325025 (2019)","journal-title":"IEEE Access"},{"issue":"6","key":"4085_CR19","doi-asserted-by":"publisher","first-page":"3064","DOI":"10.1109\/TIP.2018.2806202","volume":"27","author":"Yun-Fu Liu","year":"2018","unstructured":"Liu, Yun-Fu., Jaw, Da-Wei., Huang, Shih-Chia., Hwang, Jenq-Neng.: Desnownet: Context-aware deep network for snow removal. IEEE Trans. Image Process. 27(6), 3064\u20133073 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"4085_CR20","unstructured":"Ruoteng Li, Robby\u00a0T. Tan, and Loong-Fah Cheong. All in one bad weather removal using architectural search. computer vision and pattern recognition, 2020"},{"key":"4085_CR21","unstructured":"Shangquan Sun, Wenqi Ren, Xinwei Gao, Rui Wang, and Xiaochun Cao. Restoring images in adverse weather conditions via histogram transformer. European Conference on Computer Vision, 2024"},{"key":"4085_CR22","doi-asserted-by":"crossref","unstructured":"Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, and Yang Liu. Efficientderain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining. national conference on artificial intelligence, 2020","DOI":"10.1609\/aaai.v35i2.16239"},{"key":"4085_CR23","doi-asserted-by":"crossref","unstructured":"Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, and Junjun Jiang. Multi-scale progressive fusion network for single image deraining. computer vision and pattern recognition, 2020","DOI":"10.1109\/CVPR42600.2020.00837"},{"key":"4085_CR24","unstructured":"Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, and Zixiang Xiong. Holistic attention-fusion adversarial network for single image defogging. Computer Vision and Pattern Recognition, 2022"},{"key":"4085_CR25","doi-asserted-by":"crossref","unstructured":"Liu, Yun-Fu, Jaw, Da-Wei, Huang, Shih-Chia: and Jenq-Neng Hwang. Context-aware deep network for snow removal. IEEE Transactions on Image Processing, Desnownet (2017)","DOI":"10.1109\/TIP.2018.2806202"},{"key":"4085_CR26","doi-asserted-by":"crossref","unstructured":"Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo. All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss. international conference on computer vision, 2021","DOI":"10.1109\/ICCV48922.2021.00416"},{"key":"4085_CR27","doi-asserted-by":"crossref","unstructured":"Wenbo Zhang and Xiaorong Hou. Incident light frequency-based image defogging algorithm. Mathematical Problems in Engineering, Mar 2017","DOI":"10.1155\/2017\/9739201"},{"key":"4085_CR28","doi-asserted-by":"crossref","unstructured":"Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van\u00a0Gool, and Radu Timofte. Swinir: Image restoration using swin transformer. arXiv preprint arXiv:2108.10257, 2021","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"4085_CR29","doi-asserted-by":"crossref","unstructured":"Syed Waqas Zamir: Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang. Efficient transformer for high-resolution image restoration. In CVPR, Restormer (2022)","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"4085_CR30","doi-asserted-by":"crossref","unstructured":"Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, and Houqiang Li. Uformer: A general u-shaped transformer for image restoration. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 17683\u201317693, June 2022","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"4085_CR31","unstructured":"Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, and Jian Sun. Simple baselines for image restoration. arXiv preprint arXiv:2204.04676, 2022"},{"key":"4085_CR32","unstructured":"Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, and Zhezhu Jin. Swinfir: Revisiting the swinir with fast fourier convolution and improved training for image super-resolution. arXiv preprint arXiv:2208.11247, 2022"},{"key":"4085_CR33","unstructured":"Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, and Luc Van\u00a0Gool. Efficient and explicit modelling of image hierarchies for image restoration. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2023"},{"key":"4085_CR34","doi-asserted-by":"crossref","unstructured":"Rui Qian, Robby\u00a0T. Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu. Attentive generative adversarial network for raindrop removal from a single image. computer vision and pattern recognition, 2017","DOI":"10.1109\/CVPR.2018.00263"},{"key":"4085_CR35","unstructured":"Ruoteng, Li., Loong-Fah, Cheong: and T Tan Robby. Integrating physics model and conditional adversarial learning. Elements, Heavy rain image restoration (2019)"},{"key":"4085_CR36","unstructured":"Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley. Removing rain from single images via a deep detail network. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017"},{"key":"4085_CR37","doi-asserted-by":"crossref","unstructured":"Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, and Hongbin Zha. Recurrent squeeze-and-excitation context aggregation net for single image deraining. european conference on computer vision, 2018","DOI":"10.1007\/978-3-030-01234-2_16"},{"key":"4085_CR38","doi-asserted-by":"crossref","unstructured":"Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei\u00a0A. Efros. Image-to-image translation with conditional adversarial networks. computer vision and pattern recognition, 2016","DOI":"10.1109\/CVPR.2017.632"},{"key":"4085_CR39","doi-asserted-by":"crossref","unstructured":"Liang, Jingyun, Cao, Jiezhang, Sun, Guolei, Zhang, Kai, Gool, Luc\u00a0Van, Timofte, Radu: Swinir: Image restoration using swin transformer. Proceedings of the IEEE\/CVF international conference on computer vision (2021)","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"4085_CR40","doi-asserted-by":"crossref","unstructured":"Syed\u00a0Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad\u00a0Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao. Multi-stage progressive image restoration. computer vision and pattern recognition, 2021","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"4085_CR41","unstructured":"Zhentao Tan, Yue Wu, Qiankun Liu, Qi\u00a0Chu, Le\u00a0Lu, Jieping Ye, and Nenghai Yu. Exploring the application of large-scale pre-trained models on adverse weather removal. IEEE Transactions on Image Processing (2024), Jun 2024"},{"key":"4085_CR42","doi-asserted-by":"crossref","unstructured":"Tao Gao, Yuanbo Wen, Kaihao Zhang, Jing Zhang, Ting Chen, Lidong Liu, and Wenhan Luo. Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration. IEEE Transactions on Circuits and Systems for Video Technology, page 1886\u20131899, Mar 2024","DOI":"10.1109\/TCSVT.2023.3299324"},{"key":"4085_CR43","doi-asserted-by":"crossref","unstructured":"Yuhui Quan, Shijie Deng, Yixin Chen, and Hui Ji. Deep learning for seeing through window with raindrops. international conference on computer vision, 2019","DOI":"10.1109\/ICCV.2019.00255"},{"key":"4085_CR44","doi-asserted-by":"crossref","unstructured":"Ruijie Quan, Xin Yu, Yuanzhi Liang, and Yi\u00a0Yang. Removing raindrops and rain streaks in one go. computer vision and pattern recognition, 2021","DOI":"10.1109\/CVPR46437.2021.00903"},{"key":"4085_CR45","doi-asserted-by":"crossref","unstructured":"Chen Wei-Ting, Fang Hao-Yu, Ding Jian-Jiun, Tsai Cheng-Che, and Kuo Sy-Yen. Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal. Lecture Notes in Computer Science, 2020","DOI":"10.1007\/978-3-030-58589-1_45"},{"key":"4085_CR46","doi-asserted-by":"crossref","unstructured":"Li, Siyuan, Araujo, Iago\u00a0Breno, Ren, Wenqi, Wang, Zhangyang, Tokuda, Eric\u00a0K., Junior, Roberto\u00a0Hirata, Cesar-Junior, Roberto, Zhang, Jiawan, Guo, Xiaojie, Cao, Xiaochun: Single image deraining: A comprehensive benchmark analysis. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2019)","DOI":"10.1109\/CVPR.2019.00396"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04085-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-04085-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04085-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T14:02:07Z","timestamp":1758722527000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-04085-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,20]]},"references-count":46,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["4085"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-04085-3","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,20]]},"assertion":[{"value":"19 June 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}