{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T04:21:16Z","timestamp":1783225276034,"version":"3.54.6"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"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":["42201465"],"award-info":[{"award-number":["42201465"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neucom.2026.134306","type":"journal-article","created":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T15:49:10Z","timestamp":1782229750000},"page":"134306","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Expert-guided image restoration based on physical information: An interpretable expert-style dynamic routing approach"],"prefix":"10.1016","volume":"698","author":[{"given":"Mengxing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihua","family":"Gan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.134306_bib0005","series-title":"European Conference on Computer Vision","first-page":"340","article-title":"Autodir: automatic all-in-one image restoration with latent diffusion","author":"Jiang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134306_bib0010","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"12653","article-title":"Adverse weather removal with codebook priors","author":"Ye","year":"2023"},{"key":"10.1016\/j.neucom.2026.134306_bib0015","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"25432","article-title":"Multimodal prompt perceiver: empower adaptiveness generalizability and fidelity for all-in-one image restoration","author":"Ai","year":"2024"},{"key":"10.1016\/j.neucom.2026.134306_bib0020","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"24902","article-title":"Language-driven all-in-one adverse weather removal","author":"Yang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134306_bib0025","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3677","article-title":"Smartassign: learning a smart knowledge assignment strategy for deraining and desnowing","author":"Wang","year":"2023"},{"issue":"6","key":"10.1016\/j.neucom.2026.134306_bib0030","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.1007\/s10694-021-01096-z","article-title":"Single image desmoking via attentive generative adversarial network for smoke detection process","volume":"57","author":"Huang","year":"2021","journal-title":"Fire Technol."},{"key":"10.1016\/j.neucom.2026.134306_bib0035","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5896","article-title":"Learning a sparse transformer network for effective image deraining","author":"Chen","year":"2023"},{"key":"10.1016\/j.neucom.2026.134306_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109603","article-title":"Multi scale pixel attention and feature extraction based neural network for image denoising","volume":"141","author":"Thakur","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.134306_bib0045","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"1833","article-title":"Swinir: image restoration using swin transformer","author":"Liang","year":"2021"},{"key":"10.1016\/j.neucom.2026.134306_bib0050","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2353","article-title":"Transweather: transformer-based restoration of images degraded by adverse weather conditions","author":"Valanarasu","year":"2022"},{"key":"10.1016\/j.neucom.2026.134306_bib0055","series-title":"European Conference on Computer Vision","first-page":"116","article-title":"Moe-diffir: task-customized diffusion priors for universal compressed image restoration","author":"Ren","year":"2024"},{"issue":"10","key":"10.1016\/j.neucom.2026.134306_bib0060","doi-asserted-by":"crossref","first-page":"4541","DOI":"10.1007\/s11263-024-02056-0","article-title":"Gridformer: residual dense transformer with grid structure for image restoration in adverse weather conditions","volume":"132","author":"Wang","year":"2024","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"10.1016\/j.neucom.2026.134306_bib0065","doi-asserted-by":"crossref","first-page":"3811","DOI":"10.1109\/TIV.2023.3347952","article-title":"AiOENet: all-in-one low-visibility enhancement to improve visual perception for intelligent marine vehicles under severe weather conditions","volume":"9","author":"Liu","year":"2023","journal-title":"IEEE Trans. Intell. Veh."},{"key":"10.1016\/j.neucom.2026.134306_bib0070","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5728","article-title":"Restormer: efficient transformer for high-resolution image restoration","author":"Zamir","year":"2022"},{"key":"10.1016\/j.neucom.2026.134306_bib0075","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"12299","article-title":"Pre-trained image processing transformer","author":"Chen","year":"2021"},{"key":"10.1016\/j.neucom.2026.134306_bib0080","article-title":"Multi-expert adaptive selection: task-balancing for all-in-one image restoration","author":"Yu","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"10.1016\/j.neucom.2026.134306_bib0085","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","article-title":"Benchmarking single-image dehazing and beyond","volume":"28","author":"Li","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.134306_bib0090","series-title":"Proceedings of the 33rd ACM International Conference on Multimedia","first-page":"12722","article-title":"SmokeBench: a real-world dataset for surveillance image desmoking in early-stage fire scenes","author":"Jin","year":"2025"},{"key":"10.1016\/j.neucom.2026.134306_bib0095","doi-asserted-by":"crossref","first-page":"4376","DOI":"10.1109\/TIP.2019.2955241","article-title":"An underwater image enhancement benchmark dataset and beyond","volume":"29","author":"Li","year":"2019","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.neucom.2026.134306_bib0100","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.134306_bib0105","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1682","article-title":"Sea-thru: a method for removing water from underwater images","author":"Akkaynak","year":"2019"},{"key":"10.1016\/j.neucom.2026.134306_bib0110","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"14802","article-title":"Rank-one prior: toward real-time scene recovery","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.134306_bib0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110290","article-title":"MCPNet: multi-space color correction and features prior fusion for single-image dehazing in non-homogeneous haze scenarios","volume":"150","author":"Lyu","year":"2024","journal-title":"Pattern Recognit."},{"issue":"11","key":"10.1016\/j.neucom.2026.134306_bib0120","doi-asserted-by":"crossref","first-page":"11115","DOI":"10.1109\/TCSVT.2024.3412093","article-title":"Uncertainty modeling of the transmission map for single image dehazing","volume":"34","author":"Wang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"7","key":"10.1016\/j.neucom.2026.134306_bib0125","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1007\/s42979-024-03217-1","article-title":"Smoke removal method of industrial images based on dark channel prior approach and second-generation wavelets","volume":"5","author":"Khmag","year":"2024","journal-title":"SN Comput. Sci."},{"issue":"3","key":"10.1016\/j.neucom.2026.134306_bib0130","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1360612.1360671","article-title":"Single image dehazing","volume":"27","author":"Fattal","year":"2008","journal-title":"ACM trans. graph. (TOG)"},{"key":"10.1016\/j.neucom.2026.134306_bib0135","author":"Ha"},{"key":"10.1016\/j.neucom.2026.134306_bib0140","series-title":"2023 IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"12955","article-title":"Focal network for image restoration","author":"Cui","year":"2023"},{"key":"10.1016\/j.neucom.2026.134306_bib0145","series-title":"2023 IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"16748","article-title":"Large selective kernel network for remote sensing object detection","author":"Li","year":"2023"},{"key":"10.1016\/j.neucom.2026.134306_bib0150","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"30178","article-title":"Frequency dynamic convolution for dense image prediction","author":"Chen","year":"2025"},{"issue":"10","key":"10.1016\/j.neucom.2026.134306_bib0155","doi-asserted-by":"crossref","first-page":"7078","DOI":"10.1109\/TPAMI.2021.3096255","article-title":"Path-restore: learning network path selection for image restoration","volume":"44","author":"Yu","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.134306_bib0160","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"21747","article-title":"Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions","author":"Zhu","year":"2023"},{"key":"10.1016\/j.neucom.2026.134306_bib0165","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17683","article-title":"Uformer: a general u-shaped transformer for image restoration","author":"Wang","year":"2022"},{"key":"10.1016\/j.neucom.2026.134306_bib0170","series-title":"European Conference on Computer Vision","first-page":"255","article-title":"Onerestore: a universal restoration framework for composite degradation","author":"Guo","year":"2024"},{"key":"10.1016\/j.neucom.2026.134306_bib0175","doi-asserted-by":"crossref","DOI":"10.1109\/TNNLS.2026.3673760","article-title":"When optimal transport meets photo-realistic image dehazing with unpaired training","author":"Wen","year":"2026","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.134306_bib0180","article-title":"Structure-preserving frequency-regularized text-guided optimal transport for unpaired rain streaks and raindrops removal","author":"Wen","year":"2026","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.134306_bib0185","doi-asserted-by":"crossref","DOI":"10.1109\/TMM.2025.3535316","article-title":"All-in-one weather-degraded image restoration via adaptive degradation-aware self-prompting model","author":"Wen","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.134306_bib0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107700","article-title":"Degradation-guided cross-consistent deep unfolding network for video restoration under diverse weathers","volume":"191","author":"Cheng","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.neucom.2026.134306_bib0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111504","article-title":"Learning to restore arbitrary hybrid adverse weather conditions in one go","volume":"164","author":"Wan","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.134306_bib0200","unstructured":"Y. Wan, M. Shao, J. Shu, Y. Cheng, D. Meng, W. Zuo, Separating anything from image in context, Available at SSRN 6055452, 10.1016\/j.patcog.2026.113839"},{"key":"10.1016\/j.neucom.2026.134306_bib0205","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2026.3665898","article-title":"Removing multiple hybrid adverse weather in video via a unified model","author":"Wan","year":"2026","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2026.134306_bib0210","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17452","article-title":"All-in-one image restoration for unknown corruption","author":"Li","year":"2022"},{"key":"10.1016\/j.neucom.2026.134306_bib0215","series-title":"European Conference on Computer Vision","first-page":"17","article-title":"Simple baselines for image restoration","author":"Chen","year":"2022"},{"key":"10.1016\/j.neucom.2026.134306_bib0220","series-title":"13th International Conference on Learning Representations, ICLR 2025","first-page":"57335","article-title":"Adair: adaptive all-in-one image restoration via frequency mining and modulation","author":"Cui","year":"2025"},{"key":"10.1016\/j.neucom.2026.134306_bib0225","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"4770","article-title":"Aod-net: all-in-one dehazing network","author":"Li","year":"2017"},{"key":"10.1016\/j.neucom.2026.134306_bib0230","series-title":"European Conference on Computer Vision","first-page":"1","article-title":"Instructir: high-quality image restoration following human instructions","author":"Conde","year":"2024"},{"key":"10.1016\/j.neucom.2026.134306_bib0235","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence, 39","first-page":"6675","article-title":"AWRaCLe: all-weather image restoration using visual in-context learning","author":"Rajagopalan","year":"2025"},{"key":"10.1016\/j.neucom.2026.134306_bib0240","first-page":"1","article-title":"WaveUIR: wavelet-based guided transformer model for efficient universal image restoration","author":"Zhu","year":"2025","journal-title":"Vis. Comput."},{"key":"10.1016\/j.neucom.2026.134306_bib0245","author":"Liu"},{"issue":"18","key":"10.1016\/j.neucom.2026.134306_bib0250","doi-asserted-by":"crossref","first-page":"15349","DOI":"10.1007\/s00521-022-07467-z","article-title":"An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices","volume":"34","author":"de Venancio","year":"2022","journal-title":"Neural Comput. Appl."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017042?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017042?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T04:13:01Z","timestamp":1783224781000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226017042"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":50,"alternative-id":["S0925231226017042"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134306","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Expert-guided image restoration based on physical information: An interpretable expert-style dynamic routing approach","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134306","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"134306"}}