{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T04:08:18Z","timestamp":1782446898398,"version":"3.54.5"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T00:00:00Z","timestamp":1744416000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T00:00:00Z","timestamp":1744416000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences","award":["KY12400230016"],"award-info":[{"award-number":["KY12400230016"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s11760-025-04014-w","type":"journal-article","created":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T20:43:58Z","timestamp":1744490638000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Sonar image super-resolution: stage-wise generative adversarial network with dual discriminators"],"prefix":"10.1007","volume":"19","author":[{"given":"Zeyu","family":"Dong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunbo","family":"Lian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihong","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,12]]},"reference":[{"key":"4014_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2022.103128","volume":"122","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., Zhang, H., Liu, J., Zhang, S., Liu, Z., Lyu, E., Chen, W.: Submarine pipeline tracking technology based on auvs with forward looking sonar. Appl. Ocean Res. 122, 103128 (2022)","journal-title":"Appl. Ocean Res."},{"key":"4014_CR2","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.oceaneng.2012.04.006","volume":"48","author":"D Lee","year":"2012","unstructured":"Lee, D., Kim, G., Kim, D., Myung, H., Choi, H.-T.: Vision-based object detection and tracking for autonomous navigation of underwater robots. Ocean Eng. 48, 59\u201368 (2012)","journal-title":"Ocean Eng."},{"issue":"3","key":"4014_CR3","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/MRA.2021.3075560","volume":"28","author":"AG Chavez","year":"2021","unstructured":"Chavez, A.G., Ranieri, A., Chiarella, D., Birk, A.: Underwater vision-based gesture recognition: a robustness validation for safe human-robot interaction. IEEE Robot. Automat. Mag. 28(3), 67\u201378 (2021)","journal-title":"IEEE Robot. Automat. Mag."},{"issue":"1","key":"4014_CR4","doi-asserted-by":"publisher","first-page":"8000112","DOI":"10.1109\/JPHOT.2022.3228013","volume":"15","author":"Y Li","year":"2023","unstructured":"Li, Y., Liu, W., Li, L., Zhang, W., Xu, J., Jiao, H.: Vision-based target detection and positioning approach for underwater robots. IEEE Photon. J. 15(1), 8000112 (2023)","journal-title":"IEEE Photon. J."},{"key":"4014_CR5","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.: Underwater image enhancement with hyper-laplacian reflectance priors. IEEE Trans. Image Process. 31, 5442\u20135455 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"4014_CR6","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, H.-H., Li, G., Kwong, S., Li, C.: Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement. IEEE Trans. Image Process. 31, 3997\u20134010 (2022)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"4014_CR7","doi-asserted-by":"publisher","first-page":"5336","DOI":"10.1109\/TIP.2019.2910666","volume":"28","author":"W Chen","year":"2019","unstructured":"Chen, W., Gu, K., Lin, W., Xia, Z., Le Callet, P., Cheng, E.: Reference-free quality assessment of sonar images via contour degradation measurement. IEEE Trans. Image Process. 28(11), 5336\u20135351 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"22","key":"4014_CR8","doi-asserted-by":"publisher","first-page":"5807","DOI":"10.3390\/rs14225807","volume":"14","author":"Y Sun","year":"2022","unstructured":"Sun, Y., Zheng, H., Zhang, G., Ren, J., Xu, H., Xu, C.: DP-ViT: a dual-path vision transformer for real-time sonar target detection. Remote Sensing 14(22), 5807 (2022)","journal-title":"Remote Sensing"},{"key":"4014_CR9","doi-asserted-by":"publisher","unstructured":"Lu, X., Xie, X., Ye, C., Xing, H., Liu, Z., Chen, Y.: Single-image super-resolution via a lightweight convolutional neural network with improved shuffle learning. Signal, Image and Video Processing (2023). https:\/\/doi.org\/10.1007\/s11760-023-02730-9","DOI":"10.1007\/s11760-023-02730-9"},{"issue":"7","key":"4014_CR10","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1007\/s11760-022-02136-z","volume":"16","author":"X Chen","year":"2022","unstructured":"Chen, X., Yang, R., Guo, C.: A lightweight multi-scale residual network for single image super-resolution. Signal Image Video Process. 16(7), 1793\u20131801 (2022)","journal-title":"Signal Image Video Process."},{"key":"4014_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105946","volume":"121","author":"J Zhou","year":"2023","unstructured":"Zhou, J., Sun, J., Zhang, W., Lin, Z.: Multi-view underwater image enhancement method via embedded fusion mechanism. Eng. Appl. Artif. Intell. 121, 105946 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4014_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105952","volume":"121","author":"J Zhou","year":"2023","unstructured":"Zhou, J., Zhang, D., Zhang, W.: Cross-view enhancement network for underwater images. Eng. Appl. Artif. Intell. 121, 105952 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4014_CR13","unstructured":"Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (NIPS), pp. 2672\u20132680 (2014)"},{"key":"4014_CR14","doi-asserted-by":"crossref","unstructured":"Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., Shi, W.: Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 105\u2013114 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"issue":"11","key":"4014_CR15","doi-asserted-by":"publisher","first-page":"7418","DOI":"10.1109\/TCSVT.2022.3188433","volume":"32","author":"Z Liu","year":"2022","unstructured":"Liu, Z., Li, Z., Wu, X., Liu, Z., Chen, W.: DSRGAN: Detail prior-assisted perceptual single image super-resolution via generative adversarial networks. IEEE Trans. Circuits Syst. Video Technol. 32(11), 7418\u20137431 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"39\u201340","key":"4014_CR16","doi-asserted-by":"publisher","first-page":"29639","DOI":"10.1007\/s11042-020-09524-y","volume":"79","author":"J Huang","year":"2020","unstructured":"Huang, J.: Image super-resolution reconstruction based on generative adversarial network model with double discriminators. Multimed Tools Appl. 79(39\u201340), 29639\u201329662 (2020)","journal-title":"Multimed Tools Appl."},{"issue":"18","key":"4014_CR17","doi-asserted-by":"publisher","first-page":"28087","DOI":"10.1007\/s11042-021-10888-y","volume":"80","author":"P Shen","year":"2021","unstructured":"Shen, P., Zhang, L., Wang, M., Yin, G.: Deeper super-resolution generative adversarial network with gradient penalty for sonar image enhancement. Multimed. Tools Appl. 80(18), 28087\u201328107 (2021)","journal-title":"Multimed. Tools Appl."},{"key":"4014_CR18","doi-asserted-by":"publisher","unstructured":"Thomas, T.C., Nambiar, A.M., Mittal, A.: A GAN-based super resolution model for efficient image enhancement in underwater sonar images. In: OCEANS 2022 (2022). https:\/\/doi.org\/10.1109\/OCEANSChennai45887.2022.9775508. IEEE","DOI":"10.1109\/OCEANSChennai45887.2022.9775508"},{"key":"4014_CR19","doi-asserted-by":"publisher","first-page":"2285","DOI":"10.1007\/s00371-020-01986-3","volume":"37","author":"H Song","year":"2021","unstructured":"Song, H., Wang, M., Zhang, L., Li, Y., Jiang, Z., Yin, G.: S2RGAN: sonar-image super-resolution based on generative adversarial network. The Visual Comput. 37, 2285\u20132299 (2021)","journal-title":"The Visual Comput."},{"issue":"5","key":"4014_CR20","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1109\/TCSVT.2015.2513661","volume":"27","author":"J-J Huang","year":"2017","unstructured":"Huang, J.-J., Siu, W.-C.: Learning hierarchical decision trees for single-image super-resolution. IEEE Trans. Circuits Syst. Video Technol. 27(5), 937\u2013950 (2017)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"4014_CR21","doi-asserted-by":"crossref","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: European Conference on Computer Vision (ECCV), pp. 184\u2013199 (2014). Springer","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"4014_CR22","doi-asserted-by":"crossref","unstructured":"Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1646\u20131654 (2016)","DOI":"10.1109\/CVPR.2016.182"},{"issue":"5","key":"4014_CR23","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1007\/s11760-022-02397-8","volume":"17","author":"J Shao","year":"2023","unstructured":"Shao, J., Zhuang, X., Wang, Z., Shen, W.: Pixel-level self-paced adversarial network with multiple attention in single image super-resolution. Signal Image Video Process. 17(5), 1863\u20131872 (2023)","journal-title":"Signal Image Video Process."},{"key":"4014_CR24","doi-asserted-by":"crossref","unstructured":"Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., Change\u00a0Loy, C.: ESRGAN: Enhanced super-resolution generative adversarial networks. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 63\u201379 (2018)","DOI":"10.1007\/978-3-030-11021-5_5"},{"issue":"1","key":"4014_CR25","first-page":"291","volume":"2","author":"MK Vairalkar","year":"2012","unstructured":"Vairalkar, M.K., Nimbhorkar, S.: Edge detection of images using sobel operator. Int. J. Emerg. Technol. Adv. Eng. 2(1), 291\u2013293 (2012)","journal-title":"Int. J. Emerg. Technol. Adv. Eng."},{"key":"4014_CR26","doi-asserted-by":"publisher","unstructured":"Mu, H., Zhang, J., Xu, T.: Facial skin monitoring system based on image processing. In: Journal of Physics: Conference Series, vol. 1881 (2021). https:\/\/doi.org\/10.1088\/1742-6596\/1881\/2\/022014. IOP Publishing","DOI":"10.1088\/1742-6596\/1881\/2\/022014"},{"key":"4014_CR27","unstructured":"Valdenegro-Toro, M.: Forward-looking sonar marine debris datasets. GitHub (2019)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04014-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T10:40:34Z","timestamp":1747651234000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04014-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,12]]},"references-count":27,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["4014"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04014-w","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,12]]},"assertion":[{"value":"23 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2025","order":4,"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 that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This declaration is \u201cnot applicable\u201d.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"478"}}