{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:32Z","timestamp":1750219772302,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T00:00:00Z","timestamp":1689292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Guangxi Key Research and Development Plan","award":["2021AB07045"],"award-info":[{"award-number":["2021AB07045"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,14]]},"DOI":"10.1145\/3614008.3614043","type":"proceedings-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T18:19:52Z","timestamp":1697566792000},"page":"221-230","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Maritime low-light image enhancement study based on improved ResUnet"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6199-8201","authenticated-orcid":false,"given":"Jingyang","family":"Wang","sequence":"first","affiliation":[{"name":"Navigation College, Dalian Maritime University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1327-6105","authenticated-orcid":false,"given":"Mingyang","family":"Pan","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6636-3734","authenticated-orcid":false,"given":"Ruolan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3658-3511","authenticated-orcid":false,"given":"Zongying","family":"Liu","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9394-6142","authenticated-orcid":false,"given":"Shaoxi","family":"Li","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.09.073"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.103327"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982433"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2973856"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2020.165877"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2016.11.001"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.61.000001"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560","author":"Wei C","year":"2018","unstructured":"Wei C , Wang W , Yang W , Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560 , 2018 . Wei C, Wang W, Yang W, Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560, 2018."},{"volume-title":"Kindling the darkness: A practical low-light image enhancer[C]\/\/Proceedings of the 27th ACM international conference on multimedia. 2019: 1632-1640","author":"Zhang Y","key":"e_1_3_2_1_10_1","unstructured":"Zhang Y , Zhang J , Guo X. Kindling the darkness: A practical low-light image enhancer[C]\/\/Proceedings of the 27th ACM international conference on multimedia. 2019: 1632-1640 . Zhang Y, Zhang J, Guo X. Kindling the darkness: A practical low-light image enhancer[C]\/\/Proceedings of the 27th ACM international conference on multimedia. 2019: 1632-1640."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Guo C Li C Guo J Zero-reference deep curve estimation for low-light image enhancement[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020: 1780-1789.  Guo C Li C Guo J Zero-reference deep curve estimation for low-light image enhancement[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020: 1780-1789.","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"e_1_3_2_1_12_1","volume-title":"Liu D","author":"Jiang Y","year":"2021","unstructured":"Jiang Y , Gong X , Liu D , Enlightengan : Deep light enhancement without paired supervision[J]. IEEE transactions on image processing, 2021 , 30: 2340-2349. Jiang Y, Gong X, Liu D, Enlightengan: Deep light enhancement without paired supervision[J]. IEEE transactions on image processing, 2021, 30: 2340-2349."},{"key":"e_1_3_2_1_13_1","volume-title":"An efficient image denoising scheme for higher noise levels using spatial domain filters[J]. Biomedical and pharmacology journal","author":"Budhiraja S","year":"2018","unstructured":"Budhiraja S , Goyal B , Dogra A , An efficient image denoising scheme for higher noise levels using spatial domain filters[J]. Biomedical and pharmacology journal , 2018 , 11(2): 625-634. Budhiraja S, Goyal B, Dogra A, An efficient image denoising scheme for higher noise levels using spatial domain filters[J]. Biomedical and pharmacology journal, 2018, 11(2): 625-634."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5958\/0974-360X.2016.00176.1"},{"key":"e_1_3_2_1_15_1","volume-title":"Image denoising and inpainting with deep neural networks[J]. Advances in neural information processing systems","author":"Xie J","year":"2012","unstructured":"Xie J , Xu L , Chen E. Image denoising and inpainting with deep neural networks[J]. Advances in neural information processing systems , 2012 , 25. Xie J, Xu L, Chen E. Image denoising and inpainting with deep neural networks[J]. Advances in neural information processing systems, 2012, 25."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.  He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_17_1","volume-title":"Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising[J]","author":"Zhang K","year":"2017","unstructured":"Zhang K , Zuo W , Chen Y , Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising[J] . IEEE transactions on image processing, 2017 , 26(7): 3142-3155. Zhang K, Zuo W, Chen Y, Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising[J]. IEEE transactions on image processing, 2017, 26(7): 3142-3155."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Guo S Yan Z Zhang K Toward convolutional blind denoising of real photographs[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2019: 1712-1722.  Guo S Yan Z Zhang K Toward convolutional blind denoising of real photographs[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2019: 1712-1722.","DOI":"10.1109\/CVPR.2019.00181"},{"key":"e_1_3_2_1_19_1","volume-title":"Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference","author":"Ronneberger O","year":"2015","unstructured":"Ronneberger O , Fischer P , Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference , Munich, Germany , October 5-9, 2015 , Proceedings, Part III 18. Springer International Publishing , 2015: 234-241. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer International Publishing, 2015: 234-241."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Chen J Chen J Chao H Image blind denoising with generative adversarial network based noise modeling[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 3155-3164.  Chen J Chen J Chao H Image blind denoising with generative adversarial network based noise modeling[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 3155-3164.","DOI":"10.1109\/CVPR.2018.00333"},{"key":"e_1_3_2_1_21_1","volume-title":"Learning Enriched Features for Real Image Restoration and Enhancement[J]. arXiv e-prints","author":"Waqas Zamir S","year":"2020","unstructured":"Waqas Zamir S , Arora A , Khan S , Learning Enriched Features for Real Image Restoration and Enhancement[J]. arXiv e-prints , 2020 : arXiv: 2003.06792. Waqas Zamir S, Arora A, Khan S, Learning Enriched Features for Real Image Restoration and Enhancement[J]. arXiv e-prints, 2020: arXiv: 2003.06792."},{"key":"e_1_3_2_1_22_1","volume-title":"LEDNet: Joint Low-light Enhancement and Deblurring in the Dark[J]. arXiv preprint arXiv:2202.03373","author":"Zhou S","year":"2022","unstructured":"Zhou S , Li C , Loy C C . LEDNet: Joint Low-light Enhancement and Deblurring in the Dark[J]. arXiv preprint arXiv:2202.03373 , 2022 . Zhou S, Li C, Loy C C. LEDNet: Joint Low-light Enhancement and Deblurring in the Dark[J]. arXiv preprint arXiv:2202.03373, 2022."},{"key":"e_1_3_2_1_23_1","volume-title":"Tian Q","author":"Han K","year":"2020","unstructured":"Han K , Wang Y , Tian Q , Ghostnet : More features from cheap operations[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020 : 1580-1589. Han K, Wang Y, Tian Q, Ghostnet: More features from cheap operations[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020: 1580-1589."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Zamir S W Arora A Khan S Multi-stage progressive image restoration[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2021: 14821-14831.  Zamir S W Arora A Khan S Multi-stage progressive image restoration[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2021: 14821-14831.","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"e_1_3_2_1_25_1","volume-title":"arXiv preprint arXiv:2204.10137","author":"Ma L","year":"2022","unstructured":"Ma L , Ma T , Liu R , Toward Fast , Flexible, and Robust Low-Light Image Enhancement[J]. arXiv preprint arXiv:2204.10137 , 2022 . Ma L, Ma T, Liu R, Toward Fast, Flexible, and Robust Low-Light Image Enhancement[J]. arXiv preprint arXiv:2204.10137, 2022."},{"key":"e_1_3_2_1_26_1","volume-title":"Low-light image enhancement with normalizing flow[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence","author":"Wang Y","year":"2022","unstructured":"Wang Y , Wan R , Yang W , Low-light image enhancement with normalizing flow[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence . 2022 , 36(3): 2604-2612. Wang Y, Wan R, Yang W, Low-light image enhancement with normalizing flow[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 2022, 36(3): 2604-2612."}],"event":{"name":"SPML 2023: 2023 6th International Conference on Signal Processing and Machine Learning","acronym":"SPML 2023","location":"Tianjin China"},"container-title":["2023 6th International Conference on Signal Processing and Machine Learning (SPML)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3614008.3614043","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3614008.3614043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:27Z","timestamp":1750178247000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3614008.3614043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,14]]},"references-count":26,"alternative-id":["10.1145\/3614008.3614043","10.1145\/3614008"],"URL":"https:\/\/doi.org\/10.1145\/3614008.3614043","relation":{},"subject":[],"published":{"date-parts":[[2023,7,14]]},"assertion":[{"value":"2023-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}