{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T08:06:13Z","timestamp":1779696373446,"version":"3.53.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T00:00:00Z","timestamp":1774310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T00:00:00Z","timestamp":1774310400000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s00521-025-11781-7","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T08:13:00Z","timestamp":1774339980000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient multitask model for image restoration in degraded conditions"],"prefix":"10.1007","volume":"38","author":[{"given":"Duc Manh","family":"Dao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binh An","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tung Luong","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Namal","family":"Rathnayake","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukinobu","family":"Hoshino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9966-5576","authenticated-orcid":false,"given":"Tuan Linh","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,24]]},"reference":[{"issue":"11","key":"11781_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TNNLS.2019.2933467","volume":"30","author":"Z-Q Zhao","year":"2019","unstructured":"Zhao Z-Q, Zheng P, Xu S-T, Wu X (2019) Object detection with deep learning: a review. IEEE Trans Neural Netw Learn Syst 30(11):1\u201321","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"11781_CR2","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1146\/annurev.ne.19.030196.003045","volume":"19","author":"NK Logothetis","year":"1996","unstructured":"Logothetis NK, Sheinberg DL (1996) Visual object recognition. Annu Rev Neurosci 19:577\u2013621","journal-title":"Annu Rev Neurosci"},{"issue":"1","key":"11781_CR3","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1145\/4078.4081","volume":"17","author":"PJ Besl","year":"1985","unstructured":"Besl PJ, Jain RC (1985) Three-dimensional object recognition. ACM Comput Surv (CSUR) 17(1):75\u2013145","journal-title":"ACM Comput Surv (CSUR)"},{"key":"11781_CR4","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.inffus.2022.12.012","volume":"93","author":"DC Lepcha","year":"2023","unstructured":"Lepcha DC, Goyal B, Dogra A, Sharma KP, Gupta DN (2023) A deep journey into image enhancement: a survey of current and emerging trends. Inf Fusion 93:36\u201376","journal-title":"Inf Fusion"},{"key":"11781_CR5","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.neucom.2022.02.046","volume":"487","author":"J Su","year":"2022","unstructured":"Su J, Xu B, Yin H (2022) A survey of deep learning approaches to image restoration. Neurocomputing 487:46\u201365","journal-title":"Neurocomputing"},{"key":"11781_CR6","doi-asserted-by":"publisher","first-page":"21049","DOI":"10.1109\/ACCESS.2023.3250616","volume":"11","author":"L Zhai","year":"2023","unstructured":"Zhai L, Wang Y, Cui S, Zhou Y (2023) A comprehensive review of deep learning-based real-world image restoration. IEEE Access 11:21049\u201321067","journal-title":"IEEE Access"},{"key":"11781_CR7","doi-asserted-by":"publisher","unstructured":"Tu Z, Talebi H, Zhang H, Yang F, Milanfar P, Bovik A, Li Y (2022) Maxim: multi-axis mlp for image processing. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp 5759\u20135770. https:\/\/doi.org\/10.1109\/CVPR52688.2022.00568","DOI":"10.1109\/CVPR52688.2022.00568"},{"key":"11781_CR8","unstructured":"Feng Y, Zhang C, Wang P, Wu P, Yan Q, Zhang Y (2024) You only need one color space: an efficient network for low-light image enhancement arXiv:abs\/2402.05809"},{"key":"11781_CR9","first-page":"4461","volume":"35","author":"S Sun","year":"2022","unstructured":"Sun S, Ren W, Wang T, Cao X (2022) Rethinking image restoration for object detection. Adv Neural Inf Process Syst 35:4461\u20134474","journal-title":"Adv Neural Inf Process Syst"},{"key":"11781_CR10","unstructured":"Crawshaw M (2020) Multi-task learning with deep neural networks: a survey arXiv:abs\/2009.09796"},{"issue":"10","key":"11781_CR11","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"11781_CR12","doi-asserted-by":"crossref","unstructured":"Vats A, Raja R, Jain V, Chadha A (2024) The evolution of mixture of experts: a survey from basics to breakthroughs","DOI":"10.20944\/preprints202408.0583.v2"},{"key":"11781_CR13","unstructured":"Luo Z, Gustafsson FK, Zhao Z, Sj\u00f6lund J, Sch\u00f6n TB (2024) Controlling vision-language models for multi-task image restoration. In: The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=t3vnnLeajU"},{"key":"11781_CR14","doi-asserted-by":"publisher","first-page":"14558","DOI":"10.1016\/j.heliyon.2023.e14558","volume":"9","author":"J Guo","year":"2023","unstructured":"Guo J, Ma J, Garc\u00eda-Fern\u00e1ndez F, Zhang Y, Liang H (2023) A survey on image enhancement for low-light images. Heliyon 9:14558","journal-title":"Heliyon"},{"key":"11781_CR15","doi-asserted-by":"publisher","unstructured":"Das RK, Shandilya M, Sharma S, Kulkarni D (2017) A survey on shadow detection and removal in images. In: 2017 International Conference on Recent Innovations in Signal Processing and Embedded Systems (RISE) pp 175\u2013180. https:\/\/doi.org\/10.1109\/RISE.2017.8378149","DOI":"10.1109\/RISE.2017.8378149"},{"key":"11781_CR16","doi-asserted-by":"publisher","first-page":"109740","DOI":"10.1016\/j.patcog.2023.109740","volume":"143","author":"Z Zhang","year":"2023","unstructured":"Zhang Z, Wei Y, Zhang H, Yang Y, Yan S, Wang M (2023) Data-driven single image deraining: a comprehensive review and new perspectives. Pattern Recogn 143:109740. https:\/\/doi.org\/10.1016\/j.patcog.2023.109740","journal-title":"Pattern Recogn"},{"key":"11781_CR17","doi-asserted-by":"publisher","unstructured":"Wang Z, Cun X, Bao J, Zhou W, Liu J, Li H (2022) Uformer: A general u-shaped transformer for image restoration. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp 17662\u201317672. https:\/\/doi.org\/10.1109\/CVPR52688.2022.01716","DOI":"10.1109\/CVPR52688.2022.01716"},{"issue":"5","key":"11781_CR18","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1117\/12.55610","volume":"29","author":"MI Sezan","year":"1990","unstructured":"Sezan MI, Tekalp AM (1990) Survey of recent developments in digital image restoration. Opt Eng 29(5):393\u2013404","journal-title":"Opt Eng"},{"issue":"5","key":"11781_CR19","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MC.1974.6323527","volume":"7","author":"HC Andrews","year":"1974","unstructured":"Andrews HC (1974) Digital image restoration: a survey. Computer 7(5):36\u201345","journal-title":"Computer"},{"issue":"6","key":"11781_CR20","doi-asserted-by":"publisher","first-page":"3735","DOI":"10.1007\/s00371-024-03630-w","volume":"41","author":"YM Alsakar","year":"2024","unstructured":"Alsakar YM, Sakr NA, El-Sappagh S, Abuhmed T, Elmogy M (2024) Underwater image restoration and enhancement: a comprehensive review of recent trends, challenges, and applications. The Visual Comput 41(6):3735\u20133783","journal-title":"The Visual Comput"},{"key":"11781_CR21","doi-asserted-by":"crossref","unstructured":"Li B, Liu X, Hu P, Wu Z, Lv J, Peng, X (2022) All-in-one image restoration for unknown corruption. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition pp 17452\u201317462","DOI":"10.1109\/CVPR52688.2022.01693"},{"key":"11781_CR22","doi-asserted-by":"crossref","unstructured":"Brateanu A, Balmez R, Avram A, Orhei C (2024) Lyt-net: Lightweight yuv transformer-based network for low-light image enhancement. arxiv 2024. arXiv preprint arXiv:arXiv:2401.15204","DOI":"10.1109\/LSP.2025.3563125"},{"key":"11781_CR23","doi-asserted-by":"crossref","unstructured":"Zamir SW, Arora A, Khan S, Hayat M, Khan FS, Yang, M-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"},{"issue":"2","key":"11781_CR24","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2016","unstructured":"Guo X, Li Y, Ling H (2016) Lime: low-light image enhancement via illumination map estimation. IEEE Trans Image Process 26(2):982\u2013993","journal-title":"IEEE Trans Image Process"},{"key":"11781_CR25","doi-asserted-by":"crossref","unstructured":"Ma L, Ma T, Liu R, Fan X, Luo Z (2022) Toward fast, flexible, and robust low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition pp 5637\u20135646","DOI":"10.1109\/CVPR52688.2022.00555"},{"key":"11781_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110490","volume":"153","author":"R Khan","year":"2024","unstructured":"Khan R, Mehmood A, Shahid F, Zheng Z, Ibrahim MM (2024) Lit me up: a reference free adaptive low light image enhancement for in-the-wild conditions. Pattern Recogn 153:110490","journal-title":"Pattern Recogn"},{"issue":"21","key":"11781_CR27","doi-asserted-by":"publisher","first-page":"37736","DOI":"10.1364\/OE.472557","volume":"30","author":"R Khan","year":"2022","unstructured":"Khan R, Mehmood A, Zheng Z (2022) Robust contrast enhancement method using a retinex model with adaptive brightness for detection applications. Opt Express 30(21):37736\u201337752","journal-title":"Opt Express"},{"key":"11781_CR28","unstructured":"Wei C, Wang W, Yang W, Liu J (2018) Deep retinex decomposition for low-light enhancement. In: British Machine Vision Conference"},{"key":"11781_CR29","doi-asserted-by":"crossref","unstructured":"Jin Y, Sharma A, Tan, RT (2021) Dc-shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV) pp 5007\u20135016","DOI":"10.1109\/ICCV48922.2021.00498"},{"issue":"2","key":"11781_CR30","first-page":"1067","volume":"19","author":"RK Sasi","year":"2016","unstructured":"Sasi RK, Govindan VK (2016) Shadow removal using sparse representation over local dictionaries. Eng Sci Technol Int J 19(2):1067\u20131075","journal-title":"Eng Sci Technol Int J"},{"key":"11781_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109344","volume":"137","author":"R Khan","year":"2023","unstructured":"Khan R, Yang Y, Wu K, Mehmood A, Qaisar ZH, Zheng Z (2023) A high dynamic range imaging method for short exposure multiview images. Pattern Recogn 137:109344","journal-title":"Pattern Recogn"},{"key":"11781_CR32","doi-asserted-by":"crossref","unstructured":"Qian R, Tan RT, Yang W, Su J, Liu J (2018) Attentive generative adversarial network for raindrop removal from a single image. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 2482\u20132491","DOI":"10.1109\/CVPR.2018.00263"},{"key":"11781_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112324","volume":"302","author":"Y Wan","year":"2024","unstructured":"Wan Y, Shao M, Cheng Y, Zuo W (2024) Image all-in-one adverse weather removal via dynamic model weights generation. Knowl-Based Syst 302:112324","journal-title":"Knowl-Based Syst"},{"key":"11781_CR34","first-page":"71275","volume":"36","author":"V Potlapalli","year":"2023","unstructured":"Potlapalli V, Zamir SW, Khan SH, Shahbaz Khan F (2023) Promptir: prompting for all-in-one image restoration. Adv Neural Inf Process Syst 36:71275\u201371293","journal-title":"Adv Neural Inf Process Syst"},{"key":"11781_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111504","volume":"164","author":"Y Wan","year":"2025","unstructured":"Wan Y, Shao M, Cheng Y, Liu Y, Bao Z (2025) Learning to restore arbitrary hybrid adverse weather conditions in one go. Pattern Recogn 164:111504","journal-title":"Pattern Recogn"},{"key":"11781_CR36","doi-asserted-by":"crossref","unstructured":"Sun S, Ren W, Gao X, Wang R, Cao, X (2024) Restoring images in adverse weather conditions via histogram transformer. In: European Conference on Computer Vision. Springer, pp 111\u2013129","DOI":"10.1007\/978-3-031-72670-5_7"},{"key":"11781_CR37","doi-asserted-by":"crossref","unstructured":"Zamir SW, Arora A, Khan S, Hayat M, Khan FS, 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":"11781_CR38","first-page":"133487","volume":"37","author":"S Sun","year":"2024","unstructured":"Sun S, Ren W, Liu Z, Park H, Wang R, Cao X (2024) Ensir: an ensemble algorithm for image restoration via gaussian mixture models. Adv Neural Inf Process Syst 37:133487\u2013133517","journal-title":"Adv Neural Inf Process Syst"},{"key":"11781_CR39","doi-asserted-by":"crossref","unstructured":"Zhang Q, Liu X, Li W, Chen H, Liu J, Hu J, Xiong Z, Yuan C, Wang Y (2024) Distilling semantic priors from sam to efficient image restoration models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 25409\u201325419","DOI":"10.1109\/CVPR52733.2024.02401"},{"key":"11781_CR40","doi-asserted-by":"crossref","unstructured":"Sun S, Ren W, Li J, Wang R, Cao, X (2024) Logit standardization in knowledge distillation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 15731\u201315740","DOI":"10.1109\/CVPR52733.2024.01489"},{"key":"11781_CR41","first-page":"10861","volume":"39","author":"Y Zhou","year":"2025","unstructured":"Zhou Y, Qiao J, Liao J, Li W, Li S, Xie J, Shen Y, Hu J, Lin S (2025) Dynamic contrastive knowledge distillation for efficient image restoration. Proc AAAI Conf Artif Intell 39:10861\u201310869","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"11781_CR42","unstructured":"Hinton GE, Vinyals O, Dean J (2015) Distilling the knowledge in a neural network. ArXiv arXiv:abs\/1503.02531"},{"issue":"2","key":"11781_CR43","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/JSTSP.2020.3043622","volume":"15","author":"M Suin","year":"2020","unstructured":"Suin M, Purohit K, Rajagopalan A (2020) Degradation aware approach to image restoration using knowledge distillation. IEEE J Sel Top Signal Process 15(2):162\u2013173","journal-title":"IEEE J Sel Top Signal Process"},{"key":"11781_CR44","doi-asserted-by":"crossref","unstructured":"Gao Q, Zhao Y, Li G, Tong T (2018). Image Super-Resolution Using Knowledge Distillation. In: Asian Conference on Computer Vision. Springer, pp 527\u2013541","DOI":"10.1007\/978-3-030-20890-5_34"},{"key":"11781_CR45","doi-asserted-by":"crossref","unstructured":"Wang C-Y, Yeh I-H, Liao H (2024) Yolov9: Learning what you want to learn using programmable gradient information. ArXiv arXiv:abs\/2402.13616","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"11781_CR46","doi-asserted-by":"crossref","unstructured":"Wang A, Chen H, Liu L, Chen K, Lin Z, Han J, Ding G (2024) Yolov10: real-time end-to-end object detection. arXiv arXiv:abs\/2405.14458","DOI":"10.52202\/079017-3429"},{"key":"11781_CR47","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer vision - ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: common objects in context. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T (eds) Computer vision - ECCV 2014. Springer, Cham, pp 740\u2013755"},{"key":"11781_CR48","doi-asserted-by":"crossref","unstructured":"Qian R, Tan RT, Yang W, Su J, Liu J (2018) Attentive generative adversarial network for raindrop removal from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp 2482\u20132491","DOI":"10.1109\/CVPR.2018.00263"},{"key":"11781_CR49","doi-asserted-by":"publisher","unstructured":"Qu L, Tian J, He S, Tang Y, Lau, RWH (2017) Deshadownet: A multi-context embedding deep network for shadow removal. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp 2308\u20132316. https:\/\/doi.org\/10.1109\/CVPR.2017.248","DOI":"10.1109\/CVPR.2017.248"},{"issue":"4","key":"11781_CR50","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612. https:\/\/doi.org\/10.1109\/TIP.2003.819861","journal-title":"IEEE Trans Image Process"},{"key":"11781_CR51","doi-asserted-by":"crossref","unstructured":"Zhao Y, Lv W, Xu S, Wei J, Wang G, Dang Q, Liu Y, Chen J (2024) Detrs beat yolos on real-time object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp 16965\u201316974","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"11781_CR52","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2015","unstructured":"Everingham M, Eslami SMA, Gool LV, Williams CKI, Winn J, Zisserman A (2015) The pascal visual object classes challenge: a retrospective. Int J Comput Vision 111:98\u2013136. https:\/\/doi.org\/10.1007\/s11263-014-0733-5","journal-title":"Int J Comput Vision"},{"issue":"211\u2013252","key":"11781_CR53","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, Huang Z, Karpathy A, Khosla A, Bernstein M, Berg AC, Fei-Fei L (2015) Imagenet large scale visual recognition challenge. Int J Comput Vision 115(211\u2013252):10. https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int J Comput Vision"},{"key":"11781_CR54","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham M, Gool LV, Williams CKI, Winn J, Zisserman A (2010) The pascal visual object classes (voc) challenge. Int J Comput Vision 88:303\u2013338. https:\/\/doi.org\/10.1007\/s11263-009-0275-4","journal-title":"Int J Comput Vision"},{"key":"11781_CR55","doi-asserted-by":"crossref","unstructured":"He K, Gkioxari G, Doll\u00e1r P, Girshick R (2017) Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision. pp 2961\u20132969","DOI":"10.1109\/ICCV.2017.322"},{"key":"11781_CR56","unstructured":"Khanam R, Hussain M (2024) Yolov11: An overview of the key architectural enhancements. arXiv preprint arXiv:2410.17725"},{"key":"11781_CR57","unstructured":"Luo Z, Gustafsson FK, Zhao Z, Sj\u00f6lund J, Sch\u00f6n TB (2023) Controlling vision-language models for universal image restoration. arXiv:arXiv:2310.01018. 3(8)"},{"key":"11781_CR58","doi-asserted-by":"crossref","unstructured":"Valanarasu JMJ, Yasarla R, Patel VM (2022) Transweather: transformer-based restoration of images degraded by adverse weather conditions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 2353\u20132363","DOI":"10.1109\/CVPR52688.2022.00239"},{"issue":"8","key":"11781_CR59","doi-asserted-by":"publisher","first-page":"10346","DOI":"10.1109\/TPAMI.2023.3238179","volume":"45","author":"O \u00d6zdenizci","year":"2023","unstructured":"\u00d6zdenizci O, Legenstein R (2023) Restoring vision in adverse weather conditions with patch-based denoising diffusion models. IEEE Trans Pattern Anal Mach Intell 45(8):10346\u201310357. https:\/\/doi.org\/10.1109\/TPAMI.2023.3238179","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11781-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-025-11781-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11781-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T07:40:09Z","timestamp":1779694809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-025-11781-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,24]]},"references-count":59,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["11781"],"URL":"https:\/\/doi.org\/10.1007\/s00521-025-11781-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,24]]},"assertion":[{"value":"26 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflict of interest with regard to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"214"}}