{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T08:19:45Z","timestamp":1774685985262,"version":"3.50.1"},"reference-count":104,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702074"],"award-info":[{"award-number":["61702074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Liaoning Provincial Natural Science Foundation of China","award":["20170520196"],"award-info":[{"award-number":["20170520196"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["3132019205 and 3132019354"],"award-info":[{"award-number":["3132019205 and 3132019354"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10489-022-03767-y","type":"journal-article","created":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T07:02:46Z","timestamp":1654066966000},"page":"3594-3621","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":115,"title":["Underwater vision enhancement technologies: a comprehensive review, challenges, and recent trends"],"prefix":"10.1007","volume":"53","author":[{"given":"Jingchun","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Tongyu","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0519-8397","authenticated-orcid":false,"given":"Weishi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,1]]},"reference":[{"issue":"8","key":"3767_CR1","doi-asserted-by":"publisher","first-page":"10082","DOI":"10.1109\/JSEN.2020.3042306","volume":"21","author":"R Ren","year":"2021","unstructured":"Ren R, Zhang L, Liu L, Yuan Y (2021) Two AUVs guidance method for self-reconfiguration Mission based on monocular vision. IEEE Sensors J 21(8):10082\u201310090","journal-title":"IEEE Sensors J"},{"issue":"3","key":"3767_CR2","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/JSEN.2019.2946587","volume":"20","author":"B Kim","year":"2020","unstructured":"Kim B, Kim J, Cho H, Kim J, Yu S (2020) AUV-based multi-view scanning method for 3-D reconstruction of underwater object using forward scan sonar. IEEE Sens J 20(3):1592\u20131606","journal-title":"IEEE Sens J"},{"issue":"3","key":"3767_CR3","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"},{"issue":"12","key":"3767_CR4","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1631\/FITEE.2000190","volume":"21","author":"J Zhou","year":"2020","unstructured":"Zhou J, Zhang D, Zhang W (2020) The classical and state-of-the-art approaches for underwater image defogging: a comprehensive survey. Front Inform Technol Elect Eng 21(12):1745\u20131769","journal-title":"Front Inform Technol Elect Eng"},{"issue":"5","key":"3767_CR5","doi-asserted-by":"publisher","first-page":"1820","DOI":"10.1109\/TSMC.2017.2788902","volume":"50","author":"M Han","year":"2020","unstructured":"Han M, Lyu Z, Qiu T, Xu M (2020) A review on intelligence Dehazing and color restoration for underwater images. IEEE Trans Syst Man Cybern Syst 50(5):1820\u20131832","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"6","key":"3767_CR6","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1007\/s11036-017-0863-4","volume":"22","author":"H Lu","year":"2017","unstructured":"Lu H, Li Y, Zhang Y, Chen M, Serikawa S, Kim H (2017) Underwater optical vision enhancement: a comprehensive review. Mobile Netw Appl 22(6):1204\u20131211","journal-title":"Mobile Netw Appl"},{"key":"3767_CR7","doi-asserted-by":"publisher","first-page":"140233","DOI":"10.1109\/ACCESS.2019.2932130","volume":"7","author":"Y Wang","year":"2019","unstructured":"Wang Y, Song W, Fortino G, Qi L-Z, Zhang W, Liotta A (2019) An experimental-based review of image enhancement and image restoration methods for underwater imaging. IEEE Access 7:140233\u2013140251","journal-title":"IEEE Access"},{"issue":"3","key":"3767_CR8","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1109\/JOE.2005.850871","volume":"30","author":"YY Schechner","year":"2005","unstructured":"Schechner YY, Karpel N (2005) Recovery of underwater visibility and structure by polarization analysis. IEEE J Ocean Eng 30(3):570\u2013587","journal-title":"IEEE J Ocean Eng"},{"key":"3767_CR9","doi-asserted-by":"crossref","unstructured":"Treibitz T, Schechner YY (2006) Instant 3Descatter. In: Proc. CVPR, New York, USA, pp 1861\u20131868","DOI":"10.1109\/CVPR.2006.155"},{"issue":"3","key":"3767_CR10","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/TPAMI.2008.85","volume":"31","author":"T Treibitz","year":"2009","unstructured":"Treibitz T, Schechner YY (2009) Active polarization descattering. IEEE Trans Pattern Anal Mach Intell 31(3):385\u2013399","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"3767_CR11","first-page":"1","volume":"9","author":"H Hu","year":"2017","unstructured":"Hu H, Zhao L, Huang B, Li X, Wang H, Liu T (2017) Enhancing visibility of polarimetric underwater image by transmittance correction. IEEE Photonics J 9(3):1\u201310","journal-title":"IEEE Photonics J"},{"issue":"19","key":"3767_CR12","doi-asserted-by":"publisher","first-page":"25047","DOI":"10.1364\/OE.26.025047","volume":"26","author":"H Hu","year":"2018","unstructured":"Hu H, Zhao L, Li X, Wang H, Yang J, Li K, Liu T (2018) Polarimetric image recovery in turbid media employing circularly polarized light. Opt Express 26(19):25047\u201325059","journal-title":"Opt Express"},{"issue":"9","key":"3767_CR13","doi-asserted-by":"publisher","first-page":"9826","DOI":"10.1364\/OE.24.009826","volume":"24","author":"BJ Huang","year":"2016","unstructured":"Huang BJ, Liu T, Hu H, Han JH, Yu MX (2016) Underwater image recovery considering polarization effects of objects. Opt Express 24(9):9826\u20139988","journal-title":"Opt Express"},{"key":"3767_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.optlaseng.2019.105871","volume":"126","author":"HD Wu","year":"2020","unstructured":"Wu HD, Zhao M, Xu WH (2020) Underwater de-scattering imaging by laser field synchronous scanning. Opt Lasers Eng 126:1\u20138","journal-title":"Opt Lasers Eng"},{"key":"3767_CR15","doi-asserted-by":"crossref","unstructured":"Ishibashi S (2011) The study of the underwater camera model. In: Proc. OCEANS, Santander, Spain, pp 1\u20136","DOI":"10.1109\/Oceans-Spain.2011.6003436"},{"key":"3767_CR16","doi-asserted-by":"crossref","unstructured":"Pizerr SM, Amburn EP, Austin JD et al (1987) Adaptive histogram equalization and its variations. Comput Gr Image Process 39(3):355\u2013368","DOI":"10.1016\/S0734-189X(87)80186-X"},{"issue":"4","key":"3767_CR17","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/j.isprsjprs.2011.02.009","volume":"66","author":"F Bruno","year":"2011","unstructured":"Bruno F, Bianco G, Muzzupappa M, Barone S, Razionale AV (2011) Experimentation of structured light and stereo vision for underwater 3D reconstruction. ISPRS-J Photogramm Remote Sens 66(4):508\u2013510","journal-title":"ISPRS-J Photogramm Remote Sens"},{"key":"3767_CR18","first-page":"3840","volume-title":"Proc. ICPA, Hong Kong, China","author":"M Roser","year":"2014","unstructured":"Roser M, Dunbabin M, Geiger A (2014) Simultaneous underwater visibility assessment enhancement and improved stereo. In: Proc. ICPA, Hong Kong, China, pp 3840\u20133847"},{"issue":"4","key":"3767_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/jmse7040107","volume":"7","author":"Y Lin","year":"2019","unstructured":"Lin Y, Chen S, Tsou C (2019) Development of an vision enhancement module for autonomous underwater vehicles through integration of visual recognition with stereoscopic image reconstruction. J Mar Sci Eng 7(4):1\u201342","journal-title":"J Mar Sci Eng"},{"key":"3767_CR20","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.measurement.2019.05.004","volume":"144","author":"T Luczynski","year":"2019","unstructured":"Luczynski T, Luczynski P, Pehle L, Wirsum M, Birk A (2019) Model based design of a stereo vision system for intelligent deep-sea operations. Measurement 144:298\u2013310","journal-title":"Measurement"},{"key":"3767_CR21","doi-asserted-by":"crossref","unstructured":"Tan CS, Sluzek A, Seet G, Jiang TY (2006) Range gated imaging system for underwater robotic vehicle. In: Proc. OCEANS, Singapore, pp 1\u20136","DOI":"10.1109\/OCEANSAP.2006.4393938"},{"key":"3767_CR22","first-page":"1","volume-title":"Proc. SPIE, California, USA","author":"H Li","year":"2009","unstructured":"Li H, Wang X, Bai T, Jin W, Ding K (2009) Speckle noise suppression of range gated underwater imaging system. In: Proc. SPIE, California, USA, pp 1\u20138"},{"key":"3767_CR23","volume-title":"Proc. SPIE, Beijing, China","author":"W Liu","year":"2018","unstructured":"Liu W, Li Q, Hao G, Wu G, Lv P (2018) Experimental study on underwater range-gated imaging system pulse and gate control coordination strategy. In: Proc. SPIE, Beijing, China"},{"issue":"6","key":"3767_CR24","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1364\/OL.385983","volume":"45","author":"M Wang","year":"2020","unstructured":"Wang M, Wang X, Sun L, Yang Y, Zhou Y (2020) Underwater 3D deblurring-gated range-intensity correlation imaging. Opt Lett 45(6):1455\u20131458","journal-title":"Opt Lett"},{"issue":"5","key":"3767_CR25","doi-asserted-by":"publisher","first-page":"7630","DOI":"10.1364\/OE.417131","volume":"29","author":"M Wang","year":"2021","unstructured":"Wang M, Wang X, Zhang Y, Sun L, Lei P, Yang Y, Chen J, He J, Zhou Y (2021) Range-intensity-profile prior dehazing method for underwater range-gated imaging. Opt Express 29(5):7630\u20137640","journal-title":"Opt Express"},{"key":"3767_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.optlaseng.2020.106256","volume":"134","author":"P Han","year":"2020","unstructured":"Han P, Liu F, Wei Y, Shao X (2020) Optical correlation assists to enhance underwater polarization imaging performance. Opt Lasers Eng 134:1\u20136","journal-title":"Opt Lasers Eng"},{"key":"3767_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.optlaseng.2019.105833","volume":"124","author":"TG Liu","year":"2020","unstructured":"Liu TG, Guan ZJ, Li XB, Chen ZZ, Han YD, Yang JY, Li K, Zhao JY, Hu HF (2020) Polarimetric underwater image recovery for color image with crosstalk compensation. Opt Lasers Eng 124:1\u20136","journal-title":"Opt Lasers Eng"},{"issue":"11","key":"3767_CR28","doi-asserted-by":"publisher","first-page":"1855","DOI":"10.1364\/AO.35.001855","volume":"35","author":"JS Tyo","year":"1996","unstructured":"Tyo JS, Rowe MP, Pugh EN, Engheta N (1996) Target detection in optically scattering media by polarization-difference imaging. Appl Opt 35(11):1855\u20131870","journal-title":"Appl Opt"},{"key":"3767_CR29","first-page":"221","volume-title":"Proc. SPIE, Monterey, USA","author":"BL McGlamery","year":"1980","unstructured":"McGlamery BL (1980) A computer model for underwater camera systems. In: Proc. SPIE, Monterey, USA, pp 221\u2013231"},{"issue":"2","key":"3767_CR30","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"},{"issue":"4","key":"3767_CR31","doi-asserted-by":"publisher","first-page":"5259","DOI":"10.1109\/JSEN.2020.3033713","volume":"21","author":"F Huo","year":"2021","unstructured":"Huo F, Zhu X, Zeng H, Liu Q, Qiu J (2021) Fast fusion-based dehazing with histogram modification and improved atmospheric illumination prior. IEEE Sensors J 21(4):5259\u20135270","journal-title":"IEEE Sensors J"},{"issue":"3","key":"3767_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1360612.1360671","volume":"27","author":"R Fattal","year":"2008","unstructured":"Fattal R (2008) Single image dehazing. ACM Trans Graph 27(3):1\u20139","journal-title":"ACM Trans Graph"},{"key":"3767_CR33","first-page":"1","volume-title":"Proc. CVPR, Anchorage, AK, USA","author":"RT Tan","year":"2008","unstructured":"Tan RT (2008) Visibility in bad weather from a single image. In: Proc. CVPR, Anchorage, AK, USA, pp 1\u20138"},{"issue":"12","key":"3767_CR34","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He K, Sun J, Tang X (2011) 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":"3767_CR35","doi-asserted-by":"publisher","first-page":"1756","DOI":"10.1109\/TIP.2011.2179666","volume":"21","author":"JY Chiang","year":"2012","unstructured":"Chiang JY, Chen Y (2012) Underwater image enhancement by wavelength compensation and dehazing. IEEE Trans Image Process 21(4):1756\u20131769","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR36","first-page":"753","volume-title":"Proc. ISCAS, Beijing, China","author":"H Wen","year":"2013","unstructured":"Wen H, Tian Y, Huan T, Gao W (2013) Single underwater image enhancement with a new optical model. In: Proc. ISCAS, Beijing, China, pp 753\u2013756"},{"key":"3767_CR37","first-page":"825","volume-title":"Proc. ICCV, Sydney, NSW","author":"P Drews","year":"2013","unstructured":"Drews P, Nascimento ER, Moraes F, Botelho S, Campos M (2013) Transmission estimation in underwater single images. In: Proc. ICCV, Sydney, NSW, pp 825\u2013830"},{"key":"3767_CR38","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\u00f2n A, \u00c1lvarez-Gila A (2015) Automatic red-channel underwater image restoration. J Vis Commun Image Represent 26:132\u2013145","journal-title":"J Vis Commun Image Represent"},{"issue":"6","key":"3767_CR39","doi-asserted-by":"publisher","first-page":"2856","DOI":"10.1109\/TIP.2018.2813092","volume":"27","author":"Y Peng","year":"2018","unstructured":"Peng Y, Cao K, Cosman PC (2018) Generalization of the dark channel prior for single image restoration. IEEE Trans Image Process 27(6):2856\u20132868","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR40","doi-asserted-by":"publisher","first-page":"7771","DOI":"10.1007\/s11042-020-10049-7","volume":"80","author":"JC Zhou","year":"2020","unstructured":"Zhou JC, Liu ZZ, Zhang WD, Zhang DH, Zhang WS (2020) Underwater image restoration based on secondary guided transmission map. Multimed Tools Appl 80:7771\u20137788","journal-title":"Multimed Tools Appl"},{"issue":"8","key":"3767_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/sym12081220","volume":"12","author":"HS Lee","year":"2020","unstructured":"Lee HS, Moon SW, Eom IK (2020) Underwater image enhancement using successive color correction and superpixel dark channel prior. Symmetry 12(8):1\u201318","journal-title":"Symmetry"},{"key":"3767_CR42","first-page":"1","volume-title":"Proc. OCEANS, Seattle, USA","author":"N Carlevaris-Bianco","year":"2010","unstructured":"Carlevaris-Bianco N, Mohan A, Eustice RM (2010) Initial results in underwater single image dehazing. In: Proc. OCEANS, Seattle, USA, pp 1\u20138"},{"key":"3767_CR43","first-page":"4952","volume-title":"Proc. ICIP, Quebec City","author":"Y Peng","year":"2015","unstructured":"Peng Y, Zhao X, Cosman P (2015) Single underwater image enhancement using depth estimation based on blurriness. In: Proc. ICIP, Quebec City, pp 4952\u20134956"},{"issue":"4","key":"3767_CR44","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1109\/TIP.2017.2663846","volume":"26","author":"Y Peng","year":"2017","unstructured":"Peng Y, Cosman P (2017) Underwater image restoration based on image blurriness and light absorption. IEEE Trans Image Process 26(4):1579\u20131594","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR45","first-page":"1","volume-title":"Proc. BMVC, Swansea, UK","author":"S Emberton","year":"2015","unstructured":"Emberton S, Chittka L, Cavallaro A (2015) Hierarchical rank-based veiling light estimation for underwater dehazing. In: Proc. BMVC, Swansea, UK, pp 1\u201312"},{"key":"3767_CR46","doi-asserted-by":"crossref","unstructured":"Berman D, Levy D, Avidan S, Treibitz T (2020) Underwater single image color restoration using haze-lines and a new quantitative dataset. IEEE Trans Pattern Anal Mach Intell:1\u201313","DOI":"10.1109\/TPAMI.2020.2977624"},{"key":"3767_CR47","first-page":"1953","volume-title":"Proc. ICIP, Phoenix","author":"Y Peng","year":"2016","unstructured":"Peng Y, Cosman P (2016) Single image restoration using scene ambient light differential. In: Proc. ICIP, Phoenix, pp 1953\u20131957"},{"key":"3767_CR48","first-page":"4202","volume-title":"Proc. ICPR, Cancun","author":"CO Ancuti","year":"2016","unstructured":"Ancuti CO, Ancuti C, Vleeschouwer CD, Garcia R, Bovik AC (2016) Multi-scale underwater descattering. In: Proc. ICPR, Cancun, pp 4202\u20134207"},{"issue":"12","key":"3767_CR49","doi-asserted-by":"publisher","first-page":"5664","DOI":"10.1109\/TIP.2016.2612882","volume":"25","author":"C Li","year":"2016","unstructured":"Li C, Guo J, Cong R, Pang Y, Wang B (2016) Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior. IEEE Trans Image Process 25(12):5664\u20135677","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR50","first-page":"695","volume-title":"Proc. ICIP, Beijing, China","author":"CO Ancuti","year":"2017","unstructured":"Ancuti CO, Ancuti C, Vleeschouwer CD, Neumann L, Garcia R (2017) Color transfer for underwater dehazing and depth estimation. In: Proc. ICIP, Beijing, China, pp 695\u2013699"},{"issue":"5","key":"3767_CR51","first-page":"1","volume":"123","author":"CG Dai","year":"2019","unstructured":"Dai CG, Lin MX, Wu XJ, Wang Z, Guan ZG (2019) Single underwater image restoration by decomposing curves of attenuating color. Opt Laser Technol 123(5):1\u201311","journal-title":"Opt Laser Technol"},{"key":"3767_CR52","first-page":"1","volume-title":"Proc. OCEANS. Monterey, CA","author":"Y Cho","year":"2016","unstructured":"Cho Y, Shin Y, Kim A (2016) Online depth estimation and application to underwater image dehazing. In: Proc. OCEANS. Monterey, CA, pp 1\u20137"},{"issue":"2","key":"3767_CR53","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1109\/JOE.2018.2886093","volume":"45","author":"M Yang","year":"2020","unstructured":"Yang M, Sowmya A, Wei Z, Zheng B (2020) Offshore underwater image restoration using reflection-decomposition-based transmission map estimation. IEEE J Ocean Eng 45(2):521\u2013533","journal-title":"IEEE J Ocean Eng"},{"key":"3767_CR54","first-page":"1058","volume-title":"Proc. IROS, Hamburg","author":"P Drews","year":"2015","unstructured":"Drews P, Nascimento ER, Campos MFM, Elfes A (2015) Automatic restoration of underwater monocular sequences of images. In: Proc. IROS, Hamburg, pp 1058\u20131064"},{"key":"3767_CR55","first-page":"4988","volume-title":"Proc. CVPR, Boston, MA","author":"Z Li","year":"2015","unstructured":"Li Z, Tan P, Tan RT, Zou D, Zhou ZS, Cheong L (2015) Simultaneous video defogging and stereo reconstruction. In: Proc. CVPR, Boston, MA, pp 4988\u20134997"},{"key":"3767_CR56","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.cviu.2017.08.003","volume":"168","author":"S Emberton","year":"2018","unstructured":"Emberton S, Chittka L, Cavallaro A (2018) Underwater image and video dehazing with pure haze region segmentation. Comput Vis Image Underst 168:145\u2013156","journal-title":"Comput Vis Image Underst"},{"key":"3767_CR57","first-page":"1790","volume-title":"Proc. NIPS, MA, USA","author":"L Xu","year":"2014","unstructured":"Xu L, Ren JS, Liu C, Jia J (2014) Deep convolutional neural network for image deconvolution. In: Proc. NIPS, MA, USA, pp 1790\u20131798"},{"key":"3767_CR58","first-page":"770","volume-title":"Proc. CVPR, Las Vegas","author":"K He","year":"2016","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proc. CVPR, Las Vegas, pp 770\u2013778"},{"issue":"11","key":"3767_CR59","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai B, Xu X, Jia K, Qing C, Tao D (2016) DehazeNet: an end-to-end system for single image haze removal. IEEE Trans Image Process 25(11):5187\u20135198","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR60","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.image.2020.115892","volume":"86","author":"XY Fu","year":"2020","unstructured":"Fu XY, Cao XY (2020) Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Process-Image Commun 86:1\u201315","journal-title":"Signal Process-Image Commun"},{"issue":"10","key":"3767_CR61","first-page":"1587","volume":"13","author":"J Raihan","year":"2019","unstructured":"Raihan J, Abas PE, Silva LCD (2019) Review of underwater image restoration algorithms. IET Signal Process 13(10):1587\u20131596","journal-title":"IET Signal Process"},{"key":"3767_CR62","first-page":"1","volume-title":"Proc. OCEANS, Monterey, Ca","author":"Y Shin","year":"2016","unstructured":"Shin Y, Cho Y, Pandey G, Kim A (2016) Estimation of ambient light and transmission map with common convolutional architecture. In: Proc. OCEANS, Monterey, Ca, pp 1\u20137"},{"key":"3767_CR63","first-page":"1382","volume-title":"Proc. ICIP, Beijing, China","author":"Y Wang","year":"2017","unstructured":"Wang Y, Zhang J, Cao Y, Wang Z (2017) A deep CNN method for underwater image enhancement. In: Proc. ICIP, Beijing, China, pp 1382\u20131386"},{"key":"3767_CR64","first-page":"5422","volume-title":"Proc. ICIP, Paris, France","author":"S Zhang","year":"2014","unstructured":"Zhang S, Zhang J, Fang S, Cao Y (2014) Underwater stereo image enhancement using a new physical model. In: Proc. ICIP, Paris, France, pp 5422\u20135426"},{"issue":"1","key":"3767_CR65","first-page":"1","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 Recogn 98(1):1\u201311","journal-title":"Pattern Recogn"},{"key":"3767_CR66","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.future.2018.01.001","volume":"82","author":"H Lu","year":"2018","unstructured":"Lu H, Li Y, Uemura T, Kim H, Serikawa S (2018) Low illumination underwater light field images reconstruction using deep convolutional neural networks. Futur. Gener. Comp. Syst 82:142\u2013148","journal-title":"Futur. Gener. Comp. Syst"},{"issue":"13","key":"3767_CR67","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/rs11131591","volume":"11","author":"K Wang","year":"2019","unstructured":"Wang K, Hu Y, Chen J, Wu X, Zhao X, Li Y (2019) Underwater image restoration based on a parallel convolutional neural network. Remote Sens 11(13):1\u201321","journal-title":"Remote Sens"},{"key":"3767_CR68","first-page":"3253","volume-title":"Proc. CVPR, Salt Lake City, UT","author":"W Ren","year":"2018","unstructured":"Ren W, Ma L, Zhang J, Pan J, Cao X, Liu W, Yang M (2018) Gated fusion network for single image dehazing. In: Proc. CVPR, Salt Lake City, UT, pp 3253\u20133261"},{"key":"3767_CR69","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":"3767_CR70","first-page":"2672","volume-title":"Proc. NIPS, Montreal, Canada","author":"IJ Goodfellow","year":"2014","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. In: Proc. NIPS, Montreal, Canada, pp 2672\u20132680"},{"issue":"12","key":"3767_CR71","doi-asserted-by":"publisher","first-page":"9350","DOI":"10.1109\/TIE.2019.2893840","volume":"66","author":"X Chen","year":"2019","unstructured":"Chen X, Yu J, Kong S, Wu Z, Fang X, Wen L (2019) Towards real-time advancement of underwater visual quality with GAN. IEEE Trans Ind Electron 66(12):9350\u20139359","journal-title":"IEEE Trans Ind Electron"},{"key":"3767_CR72","first-page":"7159","volume-title":"Proc. ICRA, Brisbane, QLD, Australia","author":"C Fabbri","year":"2018","unstructured":"Fabbri C, Islam MJ, Sattar J (2018) Enhancing underwater imagery using generative adversarial networks. In: Proc. ICRA, Brisbane, QLD, Australia, pp 7159\u20137165"},{"issue":"1","key":"3767_CR73","first-page":"387","volume":"3","author":"J Li","year":"2018","unstructured":"Li J, Skinner KA, Eustice RM, Johnson-Roberson M (2018) 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"},{"key":"3767_CR74","first-page":"2242","volume-title":"Proc. ICCV, Venice","author":"J Zhu","year":"2017","unstructured":"Zhu J, Park T, Isola P, Efros AA (2017) Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. In: Proc. ICCV, Venice, pp 2242\u20132251"},{"issue":"3","key":"3767_CR75","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S0734-189X(87)80186-X","volume":"39","author":"SM Pizerr","year":"1987","unstructured":"Pizerr SM, Amburn EP, Austin JD et al (1987) Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Vision Enhancement 39(3):355\u2013368","journal-title":"Computer Vision, Graphics, and Vision Enhancement"},{"key":"3767_CR76","first-page":"474","volume-title":"Proc. Graphics Gems IV. Academic Press Professional","author":"K Zuiderveld","year":"1994","unstructured":"Zuiderveld K (1994) Contrast limited adaptive histogram equalization. In: Proc. Graphics Gems IV. Academic Press Professional, pp 474\u2013485"},{"key":"3767_CR77","doi-asserted-by":"crossref","unstructured":"Hitam MS, Awalludin EA, Jawahir WN, Yussof WNJHW, Bachok Z (2013) Mixture contrast limited adaptive histogram equalization for underwater image enhancement. In: Proc. ICCAT, Sousse, Tunisia, pp 1\u20135","DOI":"10.1109\/ICCAT.2013.6522017"},{"key":"3767_CR78","doi-asserted-by":"publisher","first-page":"31792","DOI":"10.1109\/ACCESS.2021.3060947","volume":"9","author":"W Luo","year":"2021","unstructured":"Luo W, Duan S, Zheng J (2021) Underwater image restoration and enhancement based on a fusion algorithm with color balance, contrast optimization, and histogram stretching. IEEE Access 9:31792\u201331804","journal-title":"IEEE Access"},{"key":"3767_CR79","first-page":"81","volume-title":"Proc. CVPR, Providence, USA","author":"C Ancuti","year":"2012","unstructured":"Ancuti C, Ancuti CO, Haber T, Bekaert P (2012) Enhancing underwater images and videos by fusion. In: Proc. CVPR, Providence, USA, pp 81\u201388"},{"issue":"1","key":"3767_CR80","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/TIP.2017.2759252","volume":"27","author":"CO Ancuti","year":"2018","unstructured":"Ancuti CO, Ancuti C, De Vleeschouwer C, Bekaert P (2018) Color balance and fusion for underwater image enhancement. IEEE Trans Image Process 27(1):379\u2013393","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"3767_CR81","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/jmse9020225","volume":"9","author":"FR Gao","year":"2021","unstructured":"Gao FR, Wang K, Zhang ZY, Wang YJ, Zhang QZ (2021) Underwater image enhancement based on local contrast correction and multi-scale fusion. J Mar Sci Eng 9(2):1\u201316","journal-title":"J Mar Sci Eng"},{"issue":"6","key":"3767_CR82","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/math9060595","volume":"9","author":"HJ Song","year":"2021","unstructured":"Song HJ, Wang R (2021) Underwater image enhancement based on multi-scale fusion and global stretching of dual-model. Mathematics 9(6):1\u201314","journal-title":"Mathematics"},{"issue":"3","key":"3767_CR83","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson DJ, Rahman Z, Woodell GA (1997) Properties and performance of a center\/surround retinex. IEEE Trans Image Process 6(3):451\u2013462","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"3767_CR84","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson DJ, Rahman Z, Woodell GA (1997) A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans Image Process 6(7):965\u2013976","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR85","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2017.03.029","volume":"245","author":"S Zhang","year":"2017","unstructured":"Zhang S, Wang T, Dong JY, Yu H (2017) Underwater image enhancement via extended multi-scale Retinex. Neurocomputing 245:1\u20139","journal-title":"Neurocomputing"},{"key":"3767_CR86","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1007\/s11760-019-01439-y","volume":"13","author":"C Tang","year":"2019","unstructured":"Tang C, von Lukas UF, Vahl M, Wang S, Tan M (2019) Efficient underwater image and video enhancement based on Retinex. Signal Image Video Process 13:1011\u20131018","journal-title":"Signal Image Video Process"},{"key":"3767_CR87","first-page":"248","volume-title":"Proc. CVPR, Miami, FL, USA","author":"J Deng","year":"2009","unstructured":"Deng J, Dong W, Socher R, Li L, Li K, Fei-Fei L (2009) ImageNet: A large-scale hierarchical image database. In: Proc. CVPR, Miami, FL, USA, pp 248\u2013255"},{"issue":"12","key":"3767_CR88","doi-asserted-by":"publisher","first-page":"4861","DOI":"10.1109\/TCSVT.2019.2963772","volume":"30","author":"R Liu","year":"2020","unstructured":"Liu R, Fan X, Zhu M, Hou M, Luo Z (2020) Real-world underwater enhancement: challenges, benchmarks, and solutions under natural light. IEEE Trans Circ Syst Video Technol 30(12):4861\u20134875","journal-title":"IEEE Trans Circ Syst Video Technol"},{"key":"3767_CR89","first-page":"1682","volume-title":"Proc. CVPR","author":"D Akkaynak","year":"2019","unstructured":"Akkaynak D, Treibitz T (2019) Sea-Thru: a method for removing water from underwater images. In: Proc. CVPR, pp 1682\u20131691"},{"issue":"2","key":"3767_CR90","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"},{"issue":"1","key":"3767_CR91","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/TBC.2019.2960942","volume":"66","author":"W Song","year":"2020","unstructured":"Song W, Wang Y, Huang D, Liotta A, Perra C (2020) Enhancement of underwater images with statistical model of background light and optimization of transmission map. IEEE Trans Broadcast 66(1):153\u2013169","journal-title":"IEEE Trans Broadcast"},{"key":"3767_CR92","first-page":"789","volume-title":"Proc. ISPAC","author":"X Fu","year":"2017","unstructured":"Fu X, Fan Z, Ling M, Huang Y, Ding X (2017) Two-step approach for single underwater image enhancement. In: Proc. ISPAC, pp 789\u2013794"},{"key":"3767_CR93","first-page":"4572","volume-title":"Proc. ICIP","author":"X Fu","year":"2014","unstructured":"Fu X, Zhuang P, Huang Y, Liao Y, Zhang X, Ding X (2014) A retinex-based enhancing approach for single underwater image. In: Proc. ICIP, pp 4572\u20134576"},{"issue":"3","key":"3767_CR94","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1109\/JOE.2015.2469915","volume":"41","author":"K Panetta","year":"2016","unstructured":"Panetta K, Gao C, Agaian S (2016) Human-visual-system-inspired underwater image quality measures. IEEE J Ocean Eng 41(3):541\u2013551","journal-title":"IEEE J Ocean Eng"},{"issue":"12","key":"3767_CR95","doi-asserted-by":"publisher","first-page":"6062","DOI":"10.1109\/TIP.2015.2491020","volume":"24","author":"M Yang","year":"2015","unstructured":"Yang M, Sowmya A (2015) An underwater color image quality evaluation metric. IEEE Trans Image Process 24(12):6062\u20136071","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"3767_CR96","doi-asserted-by":"publisher","first-page":"2387","DOI":"10.1109\/LSP.2015.2487369","volume":"22","author":"S Wang","year":"2015","unstructured":"Wang S, Ma K, Yeganeh H, Wang Z, Lin W (2015) A patch-structure representation method for quality assessment of contrast changed images. IEEE Signal Process Lett 22(12):2387\u20132390","journal-title":"IEEE Signal Process Lett"},{"key":"3767_CR97","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1016\/j.compeleceng.2017.12.006","volume":"70","author":"Y Wang","year":"2018","unstructured":"Wang Y, Li N, Li Z, Gu Z, Zheng H, Zheng B, Sun M (2018) An imaging-inspired no-reference under water color image quality assessment metric. Comput Electr Eng 70:904\u2013913","journal-title":"Comput Electr Eng"},{"issue":"4","key":"3767_CR98","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik A, Sheikh H, Simoncelli E (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"key":"3767_CR99","first-page":"568","volume-title":"Proc. IEEE CVPR","author":"D Akkaynak","year":"2017","unstructured":"Akkaynak D, Treibitz T, Shlesinger T, Tamir R, Loya Y, Iluz D (2017) What is the space of attenuation coefficients in underwater computer vision? In: Proc. IEEE CVPR, pp 568\u2013577"},{"key":"3767_CR100","first-page":"6723","volume-title":"Proc. CVPR","author":"D Akkaynak","year":"2018","unstructured":"Akkaynak D, Treibitz T (2018) A revised underwater image formation model. In: Proc. CVPR, pp 6723\u20136732"},{"key":"3767_CR101","unstructured":"Yang L, Chao X, Ercisli S (2022) Disturbed-entropy: a simple data quality assessment approach. ICT Express:1\u20134"},{"key":"3767_CR102","unstructured":"Yang L, Yang J, Wen J (2021) Entropy-based redundancy analysis and information screening. Digit Commun Netw:1\u201311"},{"key":"3767_CR103","first-page":"1","volume":"12","author":"L Yang","year":"2022","unstructured":"Yang L, Chao X (2022) Distance-entropy: an effective Indicator for selecting informative data. Front Plant Sci 12:1\u20138","journal-title":"Front Plant Sci"},{"key":"3767_CR104","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.engappai.2022.104785","volume":"111","author":"J Zhou","year":"2022","unstructured":"Zhou J, Yang T, Chu W, Zhang W (2022) Underwater image restoration via backscatter pixel prior and color compensation. Eng. Appl. Artif. Intell 111: 104785:1\u201316","journal-title":"Eng. Appl. Artif. Intell"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03767-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03767-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03767-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T11:16:17Z","timestamp":1673435777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03767-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,1]]},"references-count":104,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3767"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03767-y","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,1]]},"assertion":[{"value":"11 May 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}