{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T03:18:04Z","timestamp":1783048684377,"version":"3.54.6"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"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":["62471142"],"award-info":[{"award-number":["62471142"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2023J01067"],"award-info":[{"award-number":["2023J01067"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Communication and Image Representation"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.jvcir.2026.104839","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T16:13:57Z","timestamp":1778861637000},"page":"104839","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Unpaired underwater image enhancement via Cross-Modal Dual Contrastive Learning"],"prefix":"10.1016","volume":"118","author":[{"given":"Yuzhen","family":"Niu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaojie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3851-9118","authenticated-orcid":false,"given":"Fusheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.jvcir.2026.104839_b1","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1109\/TCSI.2017.2751671","article-title":"Single underwater image restoration using adaptive attenuation-curve prior","volume":"65","author":"Wang","year":"2017","journal-title":"IEEE Trans. Circuits Syst. I. Regul. Pap."},{"issue":"1","key":"10.1016\/j.jvcir.2026.104839_b2","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/TBC.2019.2960942","article-title":"Enhancement of underwater images with statistical model of background light and optimization of transmission map","volume":"66","author":"Song","year":"2020","journal-title":"IEEE Trans. Broadcast."},{"issue":"8","key":"10.1016\/j.jvcir.2026.104839_b3","first-page":"2822","article-title":"Underwater single image color restoration using haze-lines and a new quantitative dataset","volume":"43","author":"Berman","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"13","key":"10.1016\/j.jvcir.2026.104839_b4","doi-asserted-by":"crossref","first-page":"19421","DOI":"10.1007\/s11042-021-10740-3","article-title":"De-hazing and enhancement method for underwater and low-light images","volume":"80","author":"Liu","year":"2021","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.jvcir.2026.104839_b5","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1109\/TIP.2022.3177129","article-title":"Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement","volume":"31","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"10.1016\/j.jvcir.2026.104839_b6","doi-asserted-by":"crossref","first-page":"3514","DOI":"10.1109\/TCSVT.2021.3115791","article-title":"A variational framework for underwater image dehazing and deblurring","volume":"32","author":"Xie","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104839_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2024.104101","article-title":"COC-UFGAN: Underwater image enhancement based on color opponent compensation and dual-subnet underwater fusion generative adversarial network","volume":"100","author":"Liu","year":"2024","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104839_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2019.107038","article-title":"Underwater scene prior inspired deep underwater image and video enhancement","volume":"98","author":"Li","year":"2020","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.jvcir.2026.104839_b9","first-page":"15853","article-title":"Shallow-uwnet: Compressed model for underwater image enhancement (student abstract)","volume":"vol. 35","author":"Naik","year":"2021"},{"key":"10.1016\/j.jvcir.2026.104839_b10","doi-asserted-by":"crossref","first-page":"4985","DOI":"10.1109\/TIP.2021.3076367","article-title":"Underwater image enhancement via medium transmission-guided multi-color space embedding","volume":"30","author":"Li","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2026.104839_b11","doi-asserted-by":"crossref","unstructured":"P. Mu, H. Qian, C. Bai, Structure-inferred bi-level model for underwater image enhancement, in: Proceedings of the 30th ACM International Conference on Multimedia, 2022, pp. 2286\u20132295.","DOI":"10.1145\/3503161.3548087"},{"key":"10.1016\/j.jvcir.2026.104839_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2024.104068","article-title":"Coarse-to-fine underwater image enhancement with lightweight CNN and attention-based refinement","volume":"99","author":"Khandouzi","year":"2024","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104839_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.110159","article-title":"DGD-cGAN: A dual generator for image dewatering and restoration","volume":"148","author":"Gonzalez-Sabbagh","year":"2024","journal-title":"Pattern Recognit."},{"issue":"1","key":"10.1016\/j.jvcir.2026.104839_b14","first-page":"387","article-title":"WaterGAN: Unsupervised generative network to enable real-time color correction of monocular underwater images","volume":"3","author":"Li","year":"2017","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"2","key":"10.1016\/j.jvcir.2026.104839_b15","doi-asserted-by":"crossref","first-page":"3227","DOI":"10.1109\/LRA.2020.2974710","article-title":"Fast underwater image enhancement for improved visual perception","volume":"5","author":"Islam","year":"2020","journal-title":"IEEE Robot. Autom. Lett."},{"key":"10.1016\/j.jvcir.2026.104839_b16","doi-asserted-by":"crossref","first-page":"4472","DOI":"10.1109\/TIP.2023.3286263","article-title":"Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators","volume":"32","author":"Cong","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2026.104839_b17","first-page":"1","article-title":"NPT-UL: An underwater image enhancement framework based on nonphysical transformation and unsupervised learning","volume":"62","author":"Liang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.jvcir.2026.104839_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2023.104021","article-title":"Sea-pix-GAN: Underwater image enhancement using adversarial neural network","volume":"98","author":"Chaurasia","year":"2024","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104839_b19","first-page":"1","article-title":"Underwater image enhancement via adaptive group attention-based multiscale cascade transformer","volume":"71","author":"Huang","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2026.104839_b20","doi-asserted-by":"crossref","first-page":"3066","DOI":"10.1109\/TIP.2023.3276332","article-title":"U-shape transformer for underwater image enhancement","volume":"32","author":"Peng","year":"2023","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"10.1016\/j.jvcir.2026.104839_b21","first-page":"1","article-title":"Multi-scale and multi-layer lattice transformer for underwater image enhancement","volume":"20","author":"Hsu","year":"2024","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"10.1016\/j.jvcir.2026.104839_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2024.104163","article-title":"Convolution-transformer blend pyramid network for underwater image enhancement","volume":"101","author":"Ma","year":"2024","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104839_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2024.104355","article-title":"MSFFT-Net: A multi-scale feature fusion transformer network for underwater image enhancement","volume":"107","author":"Wu","year":"2025","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104839_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.displa.2022.102359","article-title":"RCA-CycleGAN: Unsupervised underwater image enhancement using red channel attention optimized CycleGAN","volume":"76","author":"Wang","year":"2023","journal-title":"Displays"},{"key":"10.1016\/j.jvcir.2026.104839_b25","first-page":"1","article-title":"UW-CycleGAN: Model-driven CycleGAN for underwater image restoration","volume":"61","author":"Yan","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"6","key":"10.1016\/j.jvcir.2026.104839_b26","doi-asserted-by":"crossref","first-page":"2561","DOI":"10.1109\/TCSVT.2022.3225376","article-title":"Beyond single reference for training: Underwater image enhancement via comparative learning","volume":"33","author":"Li","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104839_b27","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"10.1016\/j.jvcir.2026.104839_b28","series-title":"International Conference on Machine Learning","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.jvcir.2026.104839_b29","doi-asserted-by":"crossref","unstructured":"K. He, H. Fan, Y. Wu, S. Xie, R. Girshick, Momentum contrast for unsupervised visual representation learning, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 9729\u20139738.","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"10.1016\/j.jvcir.2026.104839_b30","first-page":"1555","article-title":"Semantically contrastive learning for low-light image enhancement","volume":"vol. 36","author":"Liang","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104839_b31","doi-asserted-by":"crossref","unstructured":"S. Huang, K. Wang, H. Liu, J. Chen, Y. Li, Contrastive semi-supervised learning for underwater image restoration via reliable bank, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 18145\u201318155.","DOI":"10.1109\/CVPR52729.2023.01740"},{"key":"10.1016\/j.jvcir.2026.104839_b32","doi-asserted-by":"crossref","unstructured":"Z. Liang, C. Li, S. Zhou, R. Feng, C.C. Loy, Iterative prompt learning for unsupervised backlit image enhancement, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 8094\u20138103.","DOI":"10.1109\/ICCV51070.2023.00743"},{"key":"10.1016\/j.jvcir.2026.104839_b33","doi-asserted-by":"crossref","unstructured":"I. Morawski, K. He, S. Dangi, W.H. Hsu, Unsupervised image prior via prompt learning and clip semantic guidance for low-light image enhancement, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 5971\u20135981.","DOI":"10.1109\/CVPRW63382.2024.00604"},{"issue":"6","key":"10.1016\/j.jvcir.2026.104839_b34","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s00530-025-01994-0","article-title":"Ihenet: an illumination invariant hierarchical feature enhancement network for low-light object detection","volume":"31","author":"Li","year":"2025","journal-title":"Multimedia Syst."},{"issue":"4","key":"10.1016\/j.jvcir.2026.104839_b35","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1109\/TCSVT.2023.3313348","article-title":"Low-light image enhancement with multi-scale attention and frequency-domain optimization","volume":"34","author":"He","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104839_b36","first-page":"1","article-title":"Task-friendly underwater image enhancement for machine vision applications","volume":"62","author":"Yu","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.jvcir.2026.104839_b37","doi-asserted-by":"crossref","unstructured":"P. Isola, J.-Y. Zhu, T. Zhou, A.A. Efros, Image-to-image translation with conditional adversarial networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 1125\u20131134.","DOI":"10.1109\/CVPR.2017.632"},{"key":"10.1016\/j.jvcir.2026.104839_b38","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.jvcir.2026.104839_b39","doi-asserted-by":"crossref","unstructured":"J.-J. Liu, Q. Hou, M.-M. Cheng, C. Wang, J. Feng, Improving convolutional networks with self-calibrated convolutions, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 10096\u201310105.","DOI":"10.1109\/CVPR42600.2020.01011"},{"key":"10.1016\/j.jvcir.2026.104839_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111977","article-title":"DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement","volume":"297","author":"Gao","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.jvcir.2026.104839_b41","series-title":"European Conference on Computer Vision","first-page":"319","article-title":"Contrastive learning for unpaired image-to-image translation","author":"Park","year":"2020"},{"key":"10.1016\/j.jvcir.2026.104839_b42","series-title":"Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception","author":"Islam","year":"2020"},{"key":"10.1016\/j.jvcir.2026.104839_b43","series-title":"European Conference on Computer Vision","first-page":"465","article-title":"Uncertainty inspired underwater image enhancement","author":"Fu","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104839_b44","first-page":"702","article-title":"Underwater ranker: Learn which is better and how to be better","volume":"vol. 37","author":"Guo","year":"2023"},{"key":"10.1016\/j.jvcir.2026.104839_b45","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109041","article-title":"Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement","volume":"133","author":"Xue","year":"2023","journal-title":"Pattern Recognit."},{"issue":"6","key":"10.1016\/j.jvcir.2026.104839_b46","doi-asserted-by":"crossref","first-page":"4682","DOI":"10.1109\/TCSVT.2023.3328272","article-title":"TCTL-Net: Template-free color transfer learning for self-attention driven underwater image enhancement","volume":"34","author":"Li","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104839_b47","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TIP.2023.3244647","article-title":"Domain adaptation for underwater image enhancement","volume":"32","author":"Wang","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2026.104839_b48","first-page":"643","article-title":"Unsupervised underwater image restoration: From a homology perspective","volume":"vol. 36","author":"Fu","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104839_b49","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107404","article-title":"U2-net: Going deeper with nested U-structure for salient object detection","volume":"106","author":"Qin","year":"2020","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.jvcir.2026.104839_b50","doi-asserted-by":"crossref","unstructured":"L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam, Encoder-decoder with atrous separable convolution for semantic image segmentation, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 801\u2013818.","DOI":"10.1007\/978-3-030-01234-2_49"}],"container-title":["Journal of Visual Communication and Image Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001343?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001343?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T02:42:53Z","timestamp":1783046573000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047320326001343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":50,"alternative-id":["S1047320326001343"],"URL":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104839","relation":{},"ISSN":["1047-3203"],"issn-type":[{"value":"1047-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Unpaired underwater image enhancement via Cross-Modal Dual Contrastive Learning","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Communication and Image Representation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104839","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104839"}}