{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:09:00Z","timestamp":1778800140494,"version":"3.51.4"},"reference-count":65,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62506306"],"award-info":[{"award-number":["62506306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Vision and Image Understanding"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.cviu.2026.104763","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T15:10:34Z","timestamp":1776352234000},"page":"104763","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DFFormer: Dual Frequency-Driven Transformer for real-world image deblurring"],"prefix":"10.1016","volume":"268","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1428-9535","authenticated-orcid":false,"given":"Ruizhe","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shichuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingxiong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyi","family":"Shui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5705-3718","authenticated-orcid":false,"given":"Chenglu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.cviu.2026.104763_b1","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"213","article-title":"End-to-end object detection with transformers","author":"Carion","year":"2020"},{"key":"10.1016\/j.cviu.2026.104763_b2","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"17","article-title":"Simple baselines for image restoration","author":"Chen","year":"2022"},{"key":"10.1016\/j.cviu.2026.104763_b3","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0X., Wang,\u00a0X., Zhou,\u00a0J., Qiao,\u00a0Y., Dong,\u00a0C., 2023. Activating more pixels in image super-resolution transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 22367\u201322377.","DOI":"10.1109\/CVPR52729.2023.02142"},{"key":"10.1016\/j.cviu.2026.104763_b4","doi-asserted-by":"crossref","unstructured":"Cho,\u00a0S.J., Ji,\u00a0S.W., Hong,\u00a0J.P., Jung,\u00a0S.W., Ko,\u00a0S.J., 2021. Rethinking coarse-to-fine approach in single image deblurring. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 4641\u20134650.","DOI":"10.1109\/ICCV48922.2021.00460"},{"key":"10.1016\/j.cviu.2026.104763_b5","series-title":"European Conference on Computer Vision","first-page":"53","article-title":"Improving image restoration by revisiting global information aggregation","author":"Chu","year":"2022"},{"key":"10.1016\/j.cviu.2026.104763_b6","doi-asserted-by":"crossref","unstructured":"Conde,\u00a0M.V., Geigle,\u00a0G., Timofte,\u00a0R., 2024. Instructir: High-quality image restoration following human instructions. In: Proceedings of the European Conference on Computer Vision. ECCV.","DOI":"10.1007\/978-3-031-72764-1_1"},{"key":"10.1016\/j.cviu.2026.104763_b7","doi-asserted-by":"crossref","unstructured":"Cui,\u00a0Y., Tao,\u00a0Y., Bing,\u00a0Z., Ren,\u00a0W., Gao,\u00a0X., Cao,\u00a0X., Huang,\u00a0K., Knoll,\u00a0A., 2023. Selective frequency network for image restoration. In: International Conference on Learning Representations.","DOI":"10.1109\/ICCV51070.2023.01195"},{"key":"10.1016\/j.cviu.2026.104763_b8","unstructured":"Dosovitskiy,\u00a0A., Beyer,\u00a0L., Kolesnikov,\u00a0A., Weissenborn,\u00a0D., Zhai,\u00a0X., Unterthiner,\u00a0T., Dehghani,\u00a0M., Minderer,\u00a0M., Heigold,\u00a0G., Gelly,\u00a0S., Uszkoreit,\u00a0J., Houlsby,\u00a0N., 2021. An image is worth 16x16 words: Transformers for image recognition at scale. In: International Conference on Learning Representations."},{"key":"10.1016\/j.cviu.2026.104763_b9","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s11063-024-11455-w","article-title":"A deep convolutional encoder\u2013decoder\u2013restorer architecture for image deblurring","volume":"56","author":"Fan","year":"2024","journal-title":"Neural Process. Lett."},{"key":"10.1016\/j.cviu.2026.104763_b10","series-title":"Spatial and frequency domain adaptive fusion network for image deblurring","author":"Gao","year":"2025"},{"key":"10.1016\/j.cviu.2026.104763_b11","doi-asserted-by":"crossref","first-page":"5211","DOI":"10.3390\/s25165211","article-title":"Adaptive image deblurring convolutional neural network with meta-tuning","volume":"25","author":"Ho","year":"2025","journal-title":"Sensors"},{"key":"10.1016\/j.cviu.2026.104763_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103143","article-title":"Cellvit: Vision transformers for precise cell segmentation and classification","volume":"94","author":"H\u00f6rst","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cviu.2026.104763_b13","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TMI.2019.2919722","article-title":"Focus quality assessment of high-throughput whole slide imaging in digital pathology","volume":"39","author":"Hosseini","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.cviu.2026.104763_b14","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1049\/el:20080522","article-title":"Scope of validity of psnr in image\/video quality assessment","volume":"44","author":"Huynh-Thu","year":"2008","journal-title":"Electron. Lett."},{"key":"10.1016\/j.cviu.2026.104763_b15","doi-asserted-by":"crossref","unstructured":"Ji,\u00a0X., Wang,\u00a0Z., Satoh,\u00a0S., Zheng,\u00a0Y., 2023. Single image deblurring with row-dependent blur magnitude. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 12269\u201312280.","DOI":"10.1109\/ICCV51070.2023.01127"},{"key":"10.1016\/j.cviu.2026.104763_b16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3505244","article-title":"Transformers in vision: A survey","volume":"54","author":"Khan","year":"2022","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.cviu.2026.104763_b17","doi-asserted-by":"crossref","unstructured":"Kim,\u00a0I., Choi,\u00a0J.S., Seo,\u00a0G., Kwon,\u00a0K., Shin,\u00a0J., Lee,\u00a0H.E., 2024. Real-world efficient blind motion deblurring via blur pixel discretization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 25879\u201325888.","DOI":"10.1109\/CVPR52733.2024.02445"},{"key":"10.1016\/j.cviu.2026.104763_b18","series-title":"European Conference on Computer Vision","first-page":"524","article-title":"Mssnet: Multi-scale-stage network for single image deblurring","author":"Kim","year":"2022"},{"key":"10.1016\/j.cviu.2026.104763_b19","doi-asserted-by":"crossref","unstructured":"Kirillov,\u00a0A., He,\u00a0K., Girshick,\u00a0R., Rother,\u00a0C., Dollar,\u00a0P., 2019. Panoptic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR.","DOI":"10.1109\/CVPR.2019.00963"},{"key":"10.1016\/j.cviu.2026.104763_b20","doi-asserted-by":"crossref","unstructured":"Kong,\u00a0L., Dong,\u00a0J., Ge,\u00a0J., Li,\u00a0M., Pan,\u00a0J., 2023. Efficient frequency domain-based transformers for high-quality image deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5886\u20135895.","DOI":"10.1109\/CVPR52729.2023.00570"},{"key":"10.1016\/j.cviu.2026.104763_b21","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/TMI.2017.2677499","article-title":"A dataset and a technique for generalized nuclear segmentation for computational pathology","volume":"36","author":"Kumar","year":"2017","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.cviu.2026.104763_b22","doi-asserted-by":"crossref","unstructured":"Kupyn,\u00a0O., Martyniuk,\u00a0T., Wu,\u00a0J., Wang,\u00a0Z., 2019. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 8878\u20138887.","DOI":"10.1109\/ICCV.2019.00897"},{"key":"10.1016\/j.cviu.2026.104763_b23","article-title":"Omni-deblurring: Capturing omni-range context for image deblurring","author":"Li","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.cviu.2026.104763_b24","doi-asserted-by":"crossref","unstructured":"Li,\u00a0Y., Fan,\u00a0Y., Xiang,\u00a0X., Demandolx,\u00a0D., Ranjan,\u00a0R., Timofte,\u00a0R., Van\u00a0Gool,\u00a0L., 2023b. Efficient and explicit modelling of image hierarchies for image restoration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 18278\u201318289.","DOI":"10.1109\/CVPR52729.2023.01753"},{"key":"10.1016\/j.cviu.2026.104763_b25","series-title":"2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence","first-page":"1619","article-title":"Image deblurring processing model combining spatial domain and frequency domain information","author":"Li","year":"2024"},{"key":"10.1016\/j.cviu.2026.104763_b26","doi-asserted-by":"crossref","unstructured":"Li,\u00a0A., Zhang,\u00a0L., Liu,\u00a0Y., Zhu,\u00a0C., 2023a. Feature modulation transformer: Cross-refinement of global representation via high-frequency prior for image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 12514\u201312524.","DOI":"10.1109\/ICCV51070.2023.01150"},{"key":"10.1016\/j.cviu.2026.104763_b27","doi-asserted-by":"crossref","unstructured":"Liang,\u00a0J., Cao,\u00a0J., Sun,\u00a0G., Zhang,\u00a0K., Van\u00a0Gool,\u00a0L., Timofte,\u00a0R., 2021. Swinir: Image restoration using swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 1833\u20131844.","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"10.1016\/j.cviu.2026.104763_b28","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","article-title":"A survey on deep learning in medical image analysis","volume":"42","author":"Litjens","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cviu.2026.104763_b29","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.neucom.2022.10.028","article-title":"Lightweight mimo-wnet for single image deblurring","volume":"516","author":"Liu","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cviu.2026.104763_b30","unstructured":"Loshchilov,\u00a0I., Hutter,\u00a0F., 2017. Sgdr: Stochastic gradient descent with warm restarts. In: International Conference on Learning Representations."},{"key":"10.1016\/j.cviu.2026.104763_b31","doi-asserted-by":"crossref","DOI":"10.1109\/JSTSP.2025.3581039","article-title":"A unified framework for deblurring and hdr imaging in dynamic scenes","author":"Ma","year":"2025","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"10.1016\/j.cviu.2026.104763_b32","doi-asserted-by":"crossref","unstructured":"Mao,\u00a0X., Liu,\u00a0Y., Liu,\u00a0F., Li,\u00a0Q., Shen,\u00a0W., Wang,\u00a0Y., 2023. Intriguing findings of frequency selection for image deblurring. In: Proceedings of the AAAI Conference on Artificial Intelligence. pp. 1905\u20131913.","DOI":"10.1609\/aaai.v37i2.25281"},{"key":"10.1016\/j.cviu.2026.104763_b33","doi-asserted-by":"crossref","unstructured":"Mao,\u00a0X., Wang,\u00a0J., Xie,\u00a0X., Li,\u00a0Q., Wang,\u00a0Y., 2024. Loformer: Local frequency transformer for image deblurring. In: Proceedings of the 32nd ACM International Conference on Multimedia. pp. 10382\u201310391.","DOI":"10.1145\/3664647.3680888"},{"key":"10.1016\/j.cviu.2026.104763_b34","doi-asserted-by":"crossref","unstructured":"Nah,\u00a0S., Hyun\u00a0Kim,\u00a0T., Mu\u00a0Lee,\u00a0K., 2017. Deep multi-scale convolutional neural network for dynamic scene deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3883\u20133891.","DOI":"10.1109\/CVPR.2017.35"},{"key":"10.1016\/j.cviu.2026.104763_b35","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TBC.2024.3374122","article-title":"Acdmsr: Accelerated conditional diffusion models for single image super-resolution","volume":"70","author":"Niu","year":"2024","journal-title":"IEEE Trans. Broadcast."},{"key":"10.1016\/j.cviu.2026.104763_b36","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"184","article-title":"Real-world blur dataset for learning and benchmarking deblurring algorithms","author":"Rim","year":"2020"},{"key":"10.1016\/j.cviu.2026.104763_b37","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.cviu.2026.104763_b38","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.104129","article-title":"The impact of pre-and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis","volume":"128","author":"Salvi","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.cviu.2026.104763_b39","doi-asserted-by":"crossref","unstructured":"Shen,\u00a0Z., Wang,\u00a0W., Lu,\u00a0X., Shen,\u00a0J., Ling,\u00a0H., Xu,\u00a0T., Shao,\u00a0L., 2019. Human-aware motion deblurring. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 5572\u20135581.","DOI":"10.1109\/ICCV.2019.00567"},{"key":"10.1016\/j.cviu.2026.104763_b40","series-title":"Computer Vision \u2013 ECCV 2024","first-page":"288","article-title":"Unleashing the power of prompt-driven nucleus instance segmentation","author":"Shui","year":"2025"},{"key":"10.1016\/j.cviu.2026.104763_b41","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neucom.2022.02.046","article-title":"A survey of deep learning approaches to image restoration","volume":"487","author":"Su","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cviu.2026.104763_b42","article-title":"Fixing the train-test resolution discrepancy","volume":"32","author":"Touvron","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.cviu.2026.104763_b43","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"146","article-title":"Stripformer: Strip transformer for fast image deblurring","author":"Tsai","year":"2022"},{"key":"10.1016\/j.cviu.2026.104763_b44","doi-asserted-by":"crossref","unstructured":"Tu,\u00a0Z., Talebi,\u00a0H., Zhang,\u00a0H., Yang,\u00a0F., Milanfar,\u00a0P., Bovik,\u00a0A., Li,\u00a0Y., 2022. Maxim: Multi-axis mlp for image processing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5769\u20135780.","DOI":"10.1109\/CVPR52688.2022.00568"},{"key":"10.1016\/j.cviu.2026.104763_b45","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.cviu.2026.104763_b46","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: from error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2026.104763_b47","doi-asserted-by":"crossref","unstructured":"Wang,\u00a0Z., Cun,\u00a0X., Bao,\u00a0J., Zhou,\u00a0W., Liu,\u00a0J., Li,\u00a0H., 2022. Uformer: A general u-shaped transformer for image restoration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 17683\u201317693.","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"10.1016\/j.cviu.2026.104763_b48","doi-asserted-by":"crossref","first-page":"4419","DOI":"10.1007\/s11063-021-10604-9","article-title":"Stack-based scale-recurrent network for face image deblurring","volume":"53","author":"Wu","year":"2021","journal-title":"Neural Process. Lett."},{"key":"10.1016\/j.cviu.2026.104763_b49","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.aej.2025.01.024","article-title":"Ldeblur: A lightweight network for single image deblurring","volume":"117","author":"Wu","year":"2025","journal-title":"Alex. Eng. J."},{"key":"10.1016\/j.cviu.2026.104763_b50","series-title":"Application of deep learning in blind motion deblurring: current status and future prospects","author":"Xiang","year":"2024"},{"key":"10.1016\/j.cviu.2026.104763_b51","first-page":"12077","article-title":"Segformer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.cviu.2026.104763_b52","doi-asserted-by":"crossref","unstructured":"Xu,\u00a0L., Ouyang,\u00a0W., Bennamoun,\u00a0M., Boussaid,\u00a0F., Xu,\u00a0D., 2022. Multi-class token transformer for weakly supervised semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 4310\u20134319.","DOI":"10.1109\/CVPR52688.2022.00427"},{"key":"10.1016\/j.cviu.2026.104763_b53","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2025.3549351","article-title":"Efficient image enhancement with a diffusion-based frequency prior","author":"Yan","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.cviu.2026.104763_b54","doi-asserted-by":"crossref","first-page":"4905","DOI":"10.1109\/TIP.2021.3077135","article-title":"Srgat: Single image super-resolution with graph attention network","volume":"30","author":"Yan","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2026.104763_b55","doi-asserted-by":"crossref","first-page":"5737","DOI":"10.1109\/TIP.2020.2981922","article-title":"Advancing image understanding in poor visibility environments: A collective benchmark study","volume":"29","author":"Yang","year":"2020","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2026.104763_b56","doi-asserted-by":"crossref","unstructured":"Yuan,\u00a0L., Chen,\u00a0Y., Wang,\u00a0T., Yu,\u00a0W., Shi,\u00a0Y., Jiang,\u00a0Z.H., Tay,\u00a0F.E., Feng,\u00a0J., Yan,\u00a0S., 2021. Tokens-to-token vit: Training vision transformers from scratch on imagenet. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 558\u2013567.","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"10.1016\/j.cviu.2026.104763_b57","doi-asserted-by":"crossref","unstructured":"Yun,\u00a0B., Xie,\u00a0X., Li,\u00a0Q., Wang,\u00a0Y., 2023. Uni-dual: A generic unified dual-task medical self-supervised learning framework. In: Proceedings of the 31st ACM International Conference on Multimedia. pp. 3887\u20133896.","DOI":"10.1145\/3581783.3612335"},{"key":"10.1016\/j.cviu.2026.104763_b58","doi-asserted-by":"crossref","unstructured":"Zamir,\u00a0S.W., Arora,\u00a0A., Khan,\u00a0S., Hayat,\u00a0M., Khan,\u00a0F.S., Yang,\u00a0M.H., 2022. Restormer: Efficient transformer for high-resolution image restoration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5728\u20135739.","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"10.1016\/j.cviu.2026.104763_b59","doi-asserted-by":"crossref","unstructured":"Zamir,\u00a0S.W., Arora,\u00a0A., Khan,\u00a0S., Hayat,\u00a0M., Khan,\u00a0F.S., Yang,\u00a0M.H., Shao,\u00a0L., 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":"10.1016\/j.cviu.2026.104763_b60","doi-asserted-by":"crossref","first-page":"1957","DOI":"10.1016\/j.csbj.2022.04.003","article-title":"Correction of out-of-focus microscopic images by deep learning","volume":"20","author":"Zhang","year":"2022","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"10.1016\/j.cviu.2026.104763_b61","doi-asserted-by":"crossref","first-page":"2103","DOI":"10.1007\/s11263-022-01633-5","article-title":"Deep image deblurring: A survey","volume":"130","author":"Zhang","year":"2022","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.cviu.2026.104763_b62","first-page":"15448","article-title":"Learning generative vision transformer with energy-based latent space for saliency prediction","volume":"34","author":"Zhang","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.cviu.2026.104763_b63","doi-asserted-by":"crossref","unstructured":"Zheng,\u00a0S., Lu,\u00a0J., Zhao,\u00a0H., Zhu,\u00a0X., Luo,\u00a0Z., Wang,\u00a0Y., Fu,\u00a0Y., Feng,\u00a0J., Xiang,\u00a0T., Torr,\u00a0P.H., et al., 2021. Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 6881\u20136890.","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"10.1016\/j.cviu.2026.104763_b64","doi-asserted-by":"crossref","first-page":"7705","DOI":"10.1109\/TPAMI.2021.3115139","article-title":"Learning frequency domain priors for image demoireing","volume":"44","author":"Zheng","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.cviu.2026.104763_b65","unstructured":"Zhu,\u00a0X., Su,\u00a0W., Lu,\u00a0L., Li,\u00a0B., Wang,\u00a0X., Dai,\u00a0J., 2020. Deformable detr: Deformable transformers for end-to-end object detection. In: International Conference on Learning Representations."}],"container-title":["Computer Vision and Image Understanding"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S107731422600130X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S107731422600130X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:31:42Z","timestamp":1778797902000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S107731422600130X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":65,"alternative-id":["S107731422600130X"],"URL":"https:\/\/doi.org\/10.1016\/j.cviu.2026.104763","relation":{},"ISSN":["1077-3142"],"issn-type":[{"value":"1077-3142","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DFFormer: Dual Frequency-Driven Transformer for real-world image deblurring","name":"articletitle","label":"Article Title"},{"value":"Computer Vision and Image Understanding","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cviu.2026.104763","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"104763"}}