{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T23:11:31Z","timestamp":1765667491795,"version":"3.37.3"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T00:00:00Z","timestamp":1726358400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T00:00:00Z","timestamp":1726358400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Shanghai Central Guidance Science and Technology Development Fund","award":["YDZX20233100004008"],"award-info":[{"award-number":["YDZX20233100004008"]}]},{"name":"Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security","award":["MIMS23-M-03"],"award-info":[{"award-number":["MIMS23-M-03"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s13042-024-02379-x","type":"journal-article","created":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T20:19:47Z","timestamp":1726431587000},"page":"2093-2109","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Ultra-high-definition underwater image enhancement via dual-domain interactive transformer network"],"prefix":"10.1007","volume":"16","author":[{"given":"Weiwei","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyuan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiwen","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenghao","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuyi","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,15]]},"reference":[{"issue":"2","key":"2379_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/48.50695","volume":"15","author":"JS Jaffe","year":"1990","unstructured":"Jaffe JS (1990) Computer modeling and the design of optimal underwater imaging systems. IEEE J Ocean Eng 15(2):101\u2013111","journal-title":"IEEE J Ocean Eng"},{"doi-asserted-by":"crossref","unstructured":"Akkaynak D, Treibitz T (2018) A revised underwater image formation model. In: IEEE conference on computer vision and pattern recognition, pp 6723\u20136732","key":"2379_CR2","DOI":"10.1109\/CVPR.2018.00703"},{"doi-asserted-by":"crossref","unstructured":"Akkaynak D, Treibitz T, Shlesinger T, Loya Y, Tamir R, Iluz D (2017) What is the space of attenuation coefficients in underwater computer vision? In: IEEE conference on computer vision and pattern recognition, pp 4931\u20134940","key":"2379_CR3","DOI":"10.1109\/CVPR.2017.68"},{"key":"2379_CR4","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.asoc.2014.11.020","volume":"27","author":"ASA Ghani","year":"2015","unstructured":"Ghani ASA, Isa NAM (2015) Underwater image quality enhancement through integrated color model with Rayleigh distribution. Appl Soft Comput 27:219\u2013230","journal-title":"Appl Soft Comput"},{"key":"2379_CR5","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.asoc.2015.08.033","volume":"37","author":"ASA Ghani","year":"2015","unstructured":"Ghani ASA, Isa NAM (2015) Enhancement of low quality underwater image through integrated global and local contrast correction. Appl Soft Comput 37:332\u2013344","journal-title":"Appl Soft Comput"},{"doi-asserted-by":"crossref","unstructured":"Ancuti C, Ancuti CO, Haber T, Bekaert P (2012) Enhancing underwater images and videos by fusion. In: IEEE conference on computer vision and pattern recognition, pp 81\u201388","key":"2379_CR6","DOI":"10.1109\/CVPR.2012.6247661"},{"doi-asserted-by":"crossref","unstructured":"Fu X, Fan Z, Ling M, Huang Y, Ding X (2017) Two-step approach for single underwater image enhancement. In: International symposium on intelligent signal processing and communication systems, pp 789\u2013794","key":"2379_CR7","DOI":"10.1109\/ISPACS.2017.8266583"},{"key":"2379_CR8","doi-asserted-by":"publisher","first-page":"4376","DOI":"10.1109\/TIP.2019.2955241","volume":"29","author":"C Li","year":"2019","unstructured":"Li C, Guo C, Ren W, Cong R, Hou J, Kwong S, Tao D (2019) An underwater image enhancement benchmark dataset and beyond. IEEE Trans Image Process 29:4376\u20134389","journal-title":"IEEE Trans Image Process"},{"key":"2379_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107038","volume":"98","author":"C Li","year":"2020","unstructured":"Li C, Anwar S, Porikli F (2020) Underwater scene prior inspired deep underwater image and video enhancement. Pattern Recognit 98:107038","journal-title":"Pattern Recognit"},{"key":"2379_CR10","doi-asserted-by":"publisher","first-page":"4985","DOI":"10.1109\/TIP.2021.3076367","volume":"30","author":"C Li","year":"2021","unstructured":"Li C, Anwar S, Hou J, Cong R, Guo C, Ren W (2021) Underwater image enhancement via medium transmission-guided multi-color space embedding. IEEE Trans Image Process 30:4985\u20135000","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"2379_CR11","doi-asserted-by":"publisher","first-page":"3227","DOI":"10.1109\/LRA.2020.2974710","volume":"5","author":"MJ Islam","year":"2020","unstructured":"Islam MJ, Xia Y, Sattar J (2020) Fast underwater image enhancement for improved visual perception. IEEE Robot Autom Lett 5(2):3227\u20133234","journal-title":"IEEE Robot Autom Lett"},{"unstructured":"Jamadandi A, Mudenagudi U (2019) Exemplar-based underwater image enhancement augmented by wavelet corrected transforms. In: IEEE conference on computer vision and pattern recognition workshops, pp 11\u201317","key":"2379_CR12"},{"unstructured":"Uplavikar PM, Wu Z, Wang Z (2019) All-in-one underwater image enhancement using domain-adversarial learning. In: IEEE conference on computer vision and pattern recognition workshops, pp 1\u20138","key":"2379_CR13"},{"doi-asserted-by":"crossref","unstructured":"Huo F, Li B, Zhu X (2021) Efficient wavelet boost learning-based multi-stage progressive refinement network for underwater image enhancement. In: IEEE international conference on computer vision, pp 1944\u20131952","key":"2379_CR14","DOI":"10.1109\/ICCVW54120.2021.00221"},{"doi-asserted-by":"crossref","unstructured":"Wei Y, Zheng Z, Jia X (2022) UHD underwater image enhancement via frequency-spatial domain aware network. In: Asian conference on computer vision, pp 299\u2013314","key":"2379_CR15","DOI":"10.1007\/978-3-031-26313-2_2"},{"doi-asserted-by":"crossref","unstructured":"Qin F, Li C, Cao L, Zhu L, Zou X, Li X, Zhang T, Xue Y (2021) Blind image restoration with defocus blur by estimating point spread function in frequency domain. In: International conference on advances in image processing, pp 62\u201367","key":"2379_CR16","DOI":"10.1145\/3502827.3502842"},{"doi-asserted-by":"crossref","unstructured":"Bai J, Yuan L, Xia S, Yan S, Li Z, Liu W (2022) Improving vision transformers by revisiting high-frequency components. In: European conference on computer vision, pp 1\u201318","key":"2379_CR17","DOI":"10.1007\/978-3-031-20053-3_1"},{"doi-asserted-by":"crossref","unstructured":"Zamir SW, Arora A, Khan S, Hayat M, Khan FS, Yang MH (2022) Restormer: efficient transformer for high-resolution image restoration. In: IEEE conference on computer vision and pattern recognition, pp 5728\u20135739","key":"2379_CR18","DOI":"10.1109\/CVPR52688.2022.00564"},{"doi-asserted-by":"crossref","unstructured":"Yao T, Pan Y, Li Y, Ngo CW, Mei T (2022) Wave-vit: unifying wavelet and transformers for visual representation learning. In: European conference on computer vision, pp 328\u2013345","key":"2379_CR19","DOI":"10.1007\/978-3-031-19806-9_19"},{"doi-asserted-by":"crossref","unstructured":"Iqbal K, Odetayo M, James A, Salam RA, Talib AZH (2010) Enhancing the low quality images using unsupervised colour correction method. In: IEEE international conference on systems, man and cybernetics, pp 1703\u20131709","key":"2379_CR20","DOI":"10.1109\/ICSMC.2010.5642311"},{"issue":"12","key":"2379_CR21","first-page":"2341","volume":"33","author":"K He","year":"2010","unstructured":"He K, Sun J, Tang X (2010) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341\u20132353","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"2379_CR22","doi-asserted-by":"publisher","first-page":"1756","DOI":"10.1109\/TIP.2011.2179666","volume":"21","author":"JY Chiang","year":"2011","unstructured":"Chiang JY, Chen YC (2011) Underwater image enhancement by wavelength compensation and dehazing. IEEE Trans Image Process 21(4):1756\u20131769","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"2379_CR23","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/MCG.2016.26","volume":"36","author":"PL Drews","year":"2016","unstructured":"Drews PL, Nascimento ER, Botelho SS, Campos MFM (2016) Underwater depth estimation and image restoration based on single images. IEEE Comput Graph Appl 36(2):24\u201335","journal-title":"IEEE Comput Graph Appl"},{"doi-asserted-by":"crossref","unstructured":"Liu H, Chau LP (2016) Underwater image restoration based on contrast enhancement. In: IEEE international conference on digital signal processing, pp 584\u2013588","key":"2379_CR24","DOI":"10.1109\/ICDSP.2016.7868625"},{"doi-asserted-by":"crossref","unstructured":"Carlevaris-Bianco N, Mohan A, Eustice RM (2010) Initial results in underwater single image dehazing. In: Oceans 2010 Mts\/IEEE Seattle, pp 1\u20138","key":"2379_CR25","DOI":"10.1109\/OCEANS.2010.5664428"},{"key":"2379_CR26","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.jvcir.2014.11.006","volume":"26","author":"A Galdran","year":"2015","unstructured":"Galdran A, Pardo D, Pic\u00f3n A, Alvarez-Gila A (2015) Automatic red-channel underwater image restoration. J Vis Commun Image Represent 26:132\u2013145","journal-title":"J Vis Commun Image Represent"},{"doi-asserted-by":"crossref","unstructured":"Berman D, Treibitz T, Avidan S (2017) Diving into haze-lines: color restoration of underwater images. In: British machine vision conference, pp 1\u201312","key":"2379_CR27","DOI":"10.1109\/ICCPHOT.2017.7951489"},{"key":"2379_CR28","doi-asserted-by":"publisher","first-page":"3997","DOI":"10.1109\/TIP.2022.3177129","volume":"31","author":"W Zhang","year":"2022","unstructured":"Zhang W, Zhuang P, Sun HH, Li G, Kwong S, Li C (2022) Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement. IEEE Trans Image Process 31:3997\u20134010","journal-title":"IEEE Trans Image Process"},{"key":"2379_CR29","doi-asserted-by":"publisher","first-page":"5442","DOI":"10.1109\/TIP.2022.3196546","volume":"31","author":"P Zhuang","year":"2022","unstructured":"Zhuang P, Wu J, Porikli F, Li C (2022) Underwater image enhancement with hyper-Laplacian reflectance priors. IEEE Trans Image Process 31:5442\u20135455","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"2379_CR30","first-page":"387","volume":"3","author":"J Li","year":"2017","unstructured":"Li J, Skinner KA, Eustice RM, Johnson-Roberson M (2017) WaterGAN: unsupervised generative network to enable real-time color correction of monocular underwater images. IEEE Robot Autom Lett 3(1):387\u2013394","journal-title":"IEEE Robot Autom Lett"},{"issue":"3","key":"2379_CR31","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1109\/LSP.2018.2792050","volume":"25","author":"C Li","year":"2018","unstructured":"Li C, Guo J, Guo C (2018) Emerging from water: underwater image color correction based on weakly supervised color transfer. IEEE Signal Process Lett 25(3):323\u2013327","journal-title":"IEEE Signal Process Lett"},{"doi-asserted-by":"crossref","unstructured":"Zhu J, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: IEEE international conference on computer vision, pp 2223\u20132232","key":"2379_CR32","DOI":"10.1109\/ICCV.2017.244"},{"doi-asserted-by":"crossref","unstructured":"Hou M, Liu R, Fan X, Luo Z (2018) Joint residual learning for underwater image enhancement. In: IEEE international conference on image processing, pp 4043\u20134047","key":"2379_CR33","DOI":"10.1109\/ICIP.2018.8451209"},{"doi-asserted-by":"crossref","unstructured":"Fu Z, Wang W, Huang Y, Ding X, Ma K (2022) Uncertainty inspired underwater image enhancement. In: European conference on computer vision, pp 465\u2013482","key":"2379_CR34","DOI":"10.1007\/978-3-031-19797-0_27"},{"doi-asserted-by":"crossref","unstructured":"Huang S, Wang K, Liu H, Chen J, Li Y (2023) Contrastive semi-supervised learning for underwater image restoration via reliable bank. In: IEEE conference on computer vision and pattern recognition, pp 18145\u201318155","key":"2379_CR35","DOI":"10.1109\/CVPR52729.2023.01740"},{"issue":"8","key":"2379_CR36","doi-asserted-by":"publisher","first-page":"4093","DOI":"10.1109\/TIE.2013.2284133","volume":"61","author":"A Gabiger-Rose","year":"2013","unstructured":"Gabiger-Rose A, Kube M, Weigel R, Rose R (2013) An FPGA-based fully synchronized design of a bilateral filter for real-time image denoising. IEEE Trans Ind Electron 61(8):4093\u20134104","journal-title":"IEEE Trans Ind Electron"},{"doi-asserted-by":"crossref","unstructured":"Liang J, Zeng H, Zhang L (2021) High-resolution photorealistic image translation in real-time: a Laplacian pyramid translation network. In: IEEE conference on computer vision and pattern recognition, pp 9392\u20139400","key":"2379_CR37","DOI":"10.1109\/CVPR46437.2021.00927"},{"doi-asserted-by":"crossref","unstructured":"Lin S, Ryabtsev A, Sengupta S, Curless BL, Seitz SM, Kemelmacher-Shlizerman I (2021) Real-time high-resolution background matting. In: IEEE conference on computer vision and pattern recognition, pp 8762\u20138771","key":"2379_CR38","DOI":"10.1109\/CVPR46437.2021.00865"},{"doi-asserted-by":"crossref","unstructured":"Wang T, Li Y, Peng J, Ma Y, Wang X, Song F, Yan Y (2021) Real-time image enhancer via learnable spatial-aware 3D lookup tables. In: IEEE international conference on computer vision, pp 2471\u20132480","key":"2379_CR39","DOI":"10.1109\/ICCV48922.2021.00247"},{"doi-asserted-by":"crossref","unstructured":"Barron JT, Poole B (2016) The fast bilateral solver. In: European conference on computer vision, pp 617\u2013632","key":"2379_CR40","DOI":"10.1007\/978-3-319-46487-9_38"},{"issue":"3","key":"2379_CR41","doi-asserted-by":"publisher","first-page":"103-es","DOI":"10.1145\/1276377.1276506","volume":"26","author":"J Chen","year":"2007","unstructured":"Chen J, Paris S, Durand F (2007) Real-time edge-aware image processing with the bilateral grid. ACM Trans Graph 26(3):103-es","journal-title":"ACM Trans Graph"},{"issue":"4","key":"2379_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073592","volume":"36","author":"M Gharbi","year":"2017","unstructured":"Gharbi M, Chen J, Barron JT, Hasinoff SW, Durand F (2017) Deep bilateral learning for real-time image enhancement. ACM Trans Graph 36(4):1\u201312","journal-title":"ACM Trans Graph"},{"doi-asserted-by":"crossref","unstructured":"Zheng Z, Ren W, Cao X, Wang T, Jia X (2021a) Ultra-high-definition image HDR reconstruction via collaborative bilateral learning. In: IEEE international conference on computer vision, pp 4449\u20134458","key":"2379_CR43","DOI":"10.1109\/ICCV48922.2021.00441"},{"doi-asserted-by":"crossref","unstructured":"Zheng Z, Ren W, Cao X, Hu X, Wang T, Song F, Jia X (2021b) Ultra-high-definition image dehazing via multi-guided bilateral learning. In: IEEE conference on computer vision and pattern recognition, pp 16180\u201316189","key":"2379_CR44","DOI":"10.1109\/CVPR46437.2021.01592"},{"key":"2379_CR45","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1016\/j.ins.2022.07.051","volume":"608","author":"Q Lin","year":"2022","unstructured":"Lin Q, Zheng Z, Jia X (2022) UHD low-light image enhancement via interpretable bilateral learning. Inf Sci 608:1401\u20131415","journal-title":"Inf Sci"},{"unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S et al (2020) An image is worth 16x16 words: transformers for image recognition at scale. In: International conference on learning representations, pp 1\u201321","key":"2379_CR46"},{"doi-asserted-by":"crossref","unstructured":"Woo S, Park J, Lee JY, Kweon IS (2018) Cbam: convolutional block attention module. In: European conference on computer vision, pp 3\u201319","key":"2379_CR47","DOI":"10.1007\/978-3-030-01234-2_1"},{"doi-asserted-by":"crossref","unstructured":"Misra D, Nalamada T, Arasanipalai AU, Hou Q (2021) Rotate to attend: convolutional triplet attention module. In: IEEE Winter conference on applications of computer vision, pp 3139\u20133148","key":"2379_CR48","DOI":"10.1109\/WACV48630.2021.00318"},{"doi-asserted-by":"crossref","unstructured":"Chen L, Chu X, Zhang X, Sun J (2022) Simple baselines for image restoration. In: European conference on computer vision, pp 17\u201333","key":"2379_CR49","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"2379_CR50","doi-asserted-by":"publisher","first-page":"3066","DOI":"10.1109\/TIP.2023.3276332","volume":"32","author":"L Peng","year":"2023","unstructured":"Peng L, Zhu C, Bian L (2023) U-shape transformer for underwater image enhancement. IEEE Trans Image Process 32:3066\u20133079","journal-title":"IEEE Trans Image Process"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02379-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-024-02379-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02379-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T18:29:36Z","timestamp":1739989776000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-024-02379-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,15]]},"references-count":50,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["2379"],"URL":"https:\/\/doi.org\/10.1007\/s13042-024-02379-x","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2024,9,15]]},"assertion":[{"value":"27 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2024","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 declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}