{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T02:19:35Z","timestamp":1783477175794,"version":"3.55.0"},"reference-count":87,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Shandong Province Natural Science Foundation","doi-asserted-by":"publisher","award":["ZR2024MF027"],"award-info":[{"award-number":["ZR2024MF027"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Province Natural Science Foundation","doi-asserted-by":"publisher","award":["ZR2022QF032"],"award-info":[{"award-number":["ZR2022QF032"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.neucom.2026.133737","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T06:57:32Z","timestamp":1776841052000},"page":"133737","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Diff-DMamIR: A diffusion empowered dynamic fine-guided mamba for image restoration"],"prefix":"10.1016","volume":"687","author":[{"given":"Shenglong","family":"Lv","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0512-8276","authenticated-orcid":false,"given":"Shuzhen","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanwei","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133737_bib0005","series-title":"2019 IEEE International Conference on Image Processing (ICIP)","first-page":"1014","article-title":"Dense-haze: a benchmark for image dehazing with dense-haze and haze-free images","author":"Ancuti","year":"2019"},{"key":"10.1016\/j.neucom.2026.133737_bib0010","author":"Ba"},{"key":"10.1016\/j.neucom.2026.133737_bib0015","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1109\/TIP.2022.3140609","article-title":"Self-guided image dehazing using progressive feature fusion","volume":"31","author":"Bai","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0020","author":"Chang"},{"key":"10.1016\/j.neucom.2026.133737_bib0025","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.2026.133737_bib0030","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.neunet.2023.12.003","article-title":"Dual-domain strip attention for image restoration","volume":"171","author":"Cui","year":"2024","journal-title":"Neural Netw."},{"key":"10.1016\/j.neucom.2026.133737_bib0035","doi-asserted-by":"crossref","first-page":"17099","DOI":"10.1109\/TNNLS.2025.3561924","article-title":"Modumer: modulating transformer for image restoration","volume":"36","author":"Cui","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0040","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"13001","article-title":"Focal network for image restoration","author":"Cui","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0045","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1109\/TPAMI.2023.3330416","article-title":"Image restoration via frequency selection","volume":"46","author":"Cui","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0050","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"1426","article-title":"Omni-kernel network for image restoration","author":"Cui","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0055","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume":"34","author":"Dhariwal","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0060","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2157","article-title":"Multi-scale boosted dehazing network with dense feature fusion","author":"Dong","year":"2020"},{"key":"10.1016\/j.neucom.2026.133737_bib0065","doi-asserted-by":"crossref","first-page":"9303","DOI":"10.1109\/TPAMI.2024.3416731","article-title":"Advancing real-world image dehazing: perspective, modules, and training","volume":"46","author":"Feng","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0070","doi-asserted-by":"crossref","first-page":"2944","DOI":"10.1109\/TIP.2017.2691802","article-title":"Clearing the skies: a deep network architecture for single-image rain removal","volume":"26","author":"Fu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0075","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3855","article-title":"Removing rain from single images via a deep detail network","author":"Fu","year":"2017"},{"key":"10.1016\/j.neucom.2026.133737_bib0080","series-title":"First Conference on Language Modeling","article-title":"Mamba: linear-time sequence modeling with selective state spaces","author":"Gu","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0085","author":"Gu"},{"key":"10.1016\/j.neucom.2026.133737_bib0090","first-page":"572","article-title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers","volume":"34","author":"Gu","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0095","article-title":"Improved training of wasserstein gans","volume":"30","author":"Gulrajani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0100","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5812","article-title":"Image dehazing transformer with transmission-aware 3d position embedding","author":"Guo","year":"2022"},{"key":"10.1016\/j.neucom.2026.133737_bib0105","series-title":"European Conference on Computer Vision","first-page":"222","article-title":"Mambair: a simple baseline for image restoration with state-space model","author":"Guo","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0110","series-title":"Proceedings of the 24th ACM International Conference on Multimedia","first-page":"87","article-title":"Lime: a method for low-light image enhancement","author":"Guo","year":"2016"},{"key":"10.1016\/j.neucom.2026.133737_bib0115","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0120","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8346","article-title":"Multi-scale progressive fusion network for single image deraining","author":"Jiang","year":"2020"},{"key":"10.1016\/j.neucom.2026.133737_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.119990","article-title":"Pixel-wise content attention learning for single-image deraining of autonomous vehicles","volume":"224","author":"Jiang","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.133737_bib0130","doi-asserted-by":"crossref","first-page":"7505","DOI":"10.1109\/TCE.2024.3417476","article-title":"Improving skip connection in u-net through fusion perspective with mamba for image dehazing","volume":"70","author":"Ju","year":"2024","journal-title":"IEEE Trans. Consum. Electron."},{"key":"10.1016\/j.neucom.2026.133737_bib0135","first-page":"21696","article-title":"Variational diffusion models","volume":"34","author":"Kingma","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0140","author":"Kingma"},{"key":"10.1016\/j.neucom.2026.133737_bib0145","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.2026.133737_bib0150","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.2026.133737_bib0155","author":"Li"},{"key":"10.1016\/j.neucom.2026.133737_bib0160","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3175","article-title":"All in one bad weather removal using architectural search","author":"Li","year":"2020"},{"key":"10.1016\/j.neucom.2026.133737_bib0165","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"7534","article-title":"Difiisr: a diffusion model with gradient guidance for infrared image super-resolution","author":"Li","year":"2025"},{"key":"10.1016\/j.neucom.2026.133737_bib0170","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"254","article-title":"Recurrent squeeze-and-excitation context aggregation net for single image deraining","author":"Li","year":"2018"},{"key":"10.1016\/j.neucom.2026.133737_bib0175","series-title":"2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","first-page":"68","article-title":"Image rain removal algorithm based on conditional diffusion model","author":"Li","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0180","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.2026.133737_bib0185","series-title":"European Conference on Computer Vision","first-page":"430","article-title":"Diffbir: toward blind image restoration with generative diffusion prior","author":"Lin","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0190","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"11708","article-title":"Eamamba: efficient all-around vision state space model for image restoration","author":"Lin","year":"2025"},{"key":"10.1016\/j.neucom.2026.133737_bib0195","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"7314","article-title":"Griddehazenet: attention-based multi-scale network for image dehazing","author":"Liu","year":"2019"},{"key":"10.1016\/j.neucom.2026.133737_bib0200","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"4197","article-title":"Diff-plugin: revitalizing details for diffusion-based low-level tasks","author":"Liu","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0205","doi-asserted-by":"crossref","first-page":"103031","DOI":"10.52202\/079017-3273","article-title":"Vmamba: visual state space model","volume":"37","author":"Liu","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0210","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"12764","article-title":"Visual-instructed degradation diffusion for all-in-one image restoration","author":"Luo","year":"2025"},{"key":"10.1016\/j.neucom.2026.133737_bib0215","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1680","article-title":"Refusion: enabling large-size realistic image restoration with latent-space diffusion models","author":"Luo","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130200","article-title":"Modeling detail feature connections for infrared image enhancement","volume":"639","author":"Meng","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133737_bib0225","series-title":"Advances in Communication Systems and Networks: Select Proceedings of ComNet 2019","first-page":"847","article-title":"Image denoising using dncnn: an exploration study","author":"Murali","year":"2020"},{"key":"10.1016\/j.neucom.2026.133737_bib0230","author":"Paszke"},{"key":"10.1016\/j.neucom.2026.133737_bib0235","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"11908","article-title":"Ffa-net: feature fusion attention network for single image dehazing","author":"Qin","year":"2020"},{"key":"10.1016\/j.neucom.2026.133737_bib0240","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3937","article-title":"Progressive image deraining networks: a better and simpler baseline","author":"Ren","year":"2019"},{"key":"10.1016\/j.neucom.2026.133737_bib0245","series-title":"Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, the Netherlands, October 11\u201314, 2016, Proceedings, Part II 14","first-page":"154","article-title":"Single image dehazing via multi-scale convolutional neural networks","author":"Ren","year":"2016"},{"key":"10.1016\/j.neucom.2026.133737_bib0250","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10684","article-title":"High-resolution image synthesis with latent diffusion models","author":"Rombach","year":"2022"},{"key":"10.1016\/j.neucom.2026.133737_bib0255","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 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.neucom.2026.133737_bib0260","first-page":"4713","article-title":"Image super-resolution via iterative refinement","volume":"45","author":"Saharia","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0265","first-page":"1","article-title":"Single image dehazing via fusion of multilevel attention network for vision-based measurement applications","volume":"72","author":"Sahu","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.neucom.2026.133737_bib0270","doi-asserted-by":"crossref","first-page":"5560","DOI":"10.1109\/TCSVT.2025.3530090","article-title":"Vmambair: visual state space model for image restoration","volume":"35","author":"Shi","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2026.133737_bib0275","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","article-title":"Vision transformers for single image dehazing","volume":"32","author":"Song","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0280","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5769","article-title":"Maxim: multi-axis MLP for image processing","author":"Tu","year":"2022"},{"key":"10.1016\/j.neucom.2026.133737_bib0285","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.2026.133737_bib0290","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107279","article-title":"Eaa-net: a novel edge assisted attention network for single image dehazing","volume":"228","author":"Wang","year":"2021","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0295","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"7559","article-title":"Navigating image restoration with var\u2019s distribution alignment prior","author":"Wang","year":"2025"},{"key":"10.1016\/j.neucom.2026.133737_bib0300","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1109\/TIP.2024.3362153","article-title":"Ucl-dehaze: toward real-world image dehazing via unsupervised contrastive learning","volume":"33","author":"Wang","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0305","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.neucom.2026.133737_bib0310","author":"Wei"},{"key":"10.1016\/j.neucom.2026.133737_bib0315","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3877","article-title":"Semi-supervised transfer learning for image rain removal","author":"Wei","year":"2019"},{"key":"10.1016\/j.neucom.2026.133737_bib0320","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"13095","article-title":"Diffir: efficient diffusion model for image restoration","author":"Xia","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0325","series-title":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","first-page":"1","article-title":"Semi-supervised learning for low-light image enhancement by pseudo low-light image","author":"Xie","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0330","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1109\/TPAMI.2019.2895793","article-title":"Joint rain detection and removal from a single image with contextualized deep networks","volume":"42","author":"Yang","year":"2019","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0335","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1357","article-title":"Deep joint rain detection and removal from a single image","author":"Yang","year":"2017"},{"key":"10.1016\/j.neucom.2026.133737_bib0340","doi-asserted-by":"crossref","first-page":"2072","DOI":"10.1109\/TIP.2021.3050850","article-title":"Sparse gradient regularized deep retinex network for robust low-light image enhancement","volume":"30","author":"Yang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0345","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120777","article-title":"Single image fast dehazing based on haze density classification prior","volume":"232","author":"Yang","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.133737_bib0350","series-title":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","first-page":"3783","article-title":"Dehazedm: image dehazing via patch autoencoder based on diffusion models","author":"Yang","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0355","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8405","article-title":"Uncertainty guided multi-scale residual learning-using a cycle spinning CNN for single image de-raining","author":"Yasarla","year":"2019"},{"key":"10.1016\/j.neucom.2026.133737_bib0360","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TPAMI.2024.3461721","article-title":"Efficient diffusion model for image restoration by residual shifting","volume":"47","author":"Yue","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0365","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.2026.133737_bib0370","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"695","article-title":"Density-aware single image de-raining using a multi-stream dense network","author":"Zhang","year":"2018"},{"key":"10.1016\/j.neucom.2026.133737_bib0375","doi-asserted-by":"crossref","first-page":"3943","DOI":"10.1109\/TCSVT.2019.2920407","article-title":"Image de-raining using a conditional generative adversarial network","volume":"30","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2026.133737_bib0380","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114567","article-title":"Learning spatial-channel feature refiners via wavelet-based linear mixed basis for low-light image enhancement","author":"Zhang","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.133737_bib0385","doi-asserted-by":"crossref","first-page":"6360","DOI":"10.1109\/TPAMI.2021.3088914","article-title":"Plug-and-play image restoration with deep denoiser prior","volume":"44","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133737_bib0390","doi-asserted-by":"crossref","first-page":"2295","DOI":"10.1109\/TIP.2023.3266171","article-title":"Multi-branch and progressive network for low-light image enhancement","volume":"32","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0395","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3929","article-title":"Learning deep CNN denoiser prior for image restoration","author":"Zhang","year":"2017"},{"key":"10.1016\/j.neucom.2026.133737_bib0400","doi-asserted-by":"crossref","first-page":"4608","DOI":"10.1109\/TIP.2018.2839891","article-title":"Ffdnet: toward a fast and flexible solution for cnn-based image denoising","volume":"27","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133737_bib0405","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"Zhang","year":"2018"},{"key":"10.1016\/j.neucom.2026.133737_bib0410","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2022.3225843","article-title":"Dehaze-aggan: unpaired remote sensing image dehazing using enhanced attention-guide generative adversarial networks","volume":"60","author":"Zheng","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133737_bib0415","series-title":"International Conference on Machine Learning","first-page":"42589","article-title":"Fourmer: an efficient global modeling paradigm for image restoration","author":"Zhou","year":"2023"},{"key":"10.1016\/j.neucom.2026.133737_bib0420","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2952","article-title":"Adapt or perish: adaptive sparse transformer with attentive feature refinement for image restoration","author":"Zhou","year":"2024"},{"key":"10.1016\/j.neucom.2026.133737_bib0425","series-title":"European Conference on Computer Vision","first-page":"573","article-title":"LEDNet: joint low-light enhancement and deblurring in the dark","author":"Zhou","year":"2022"},{"key":"10.1016\/j.neucom.2026.133737_bib0430","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/s11263-025-02668-0","article-title":"Contourlet refinement gate framework for thermal spectrum distribution regularized infrared image super-resolution","volume":"134","author":"Zou","year":"2026","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neucom.2026.133737_bib0435","author":"Zou"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226011343?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226011343?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:18:46Z","timestamp":1783099126000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226011343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":87,"alternative-id":["S0925231226011343"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133737","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diff-DMamIR: A diffusion empowered dynamic fine-guided mamba for image restoration","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133737","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":"133737"}}