{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T09:05:35Z","timestamp":1746003935755,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030368074"},{"type":"electronic","value":"9783030368081"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36808-1_9","type":"book-chapter","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T15:04:08Z","timestamp":1575644648000},"page":"75-83","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Recovering Super-Resolution Generative Adversarial Network for Underwater Images"],"prefix":"10.1007","author":[{"given":"Yang","family":"Chen","sequence":"first","affiliation":[]},{"given":"Jinxuan","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Wencong","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Guoqiang","family":"Zhong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"issue":"04","key":"9_CR1","doi-asserted-by":"publisher","first-page":"043002","DOI":"10.1117\/1.JEI.27.4.043002","volume":"27","author":"B Cyganek","year":"2018","unstructured":"Cyganek, B., Gongola, K.: Real-time marine snow noise removal from underwater video sequences. J. Electron. Imaging 27(04), 043002 (2018)","journal-title":"J. Electron. Imaging"},{"issue":"2","key":"9_CR2","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Fabbri, C., Islam, M.J., Sattar, J.: Enhancing underwater imagery using generative adversarial networks. In: ICRA, pp. 7159\u20137165 (2018)","DOI":"10.1109\/ICRA.2018.8460552"},{"key":"9_CR4","unstructured":"Goodfellow, I.J., et al.: Generative adversarial networks. CoRR abs\/1406.2661 (2014)"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: CVPR, pp. 5967\u20135976 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: CVPR, pp. 1646\u20131654 (2016)","DOI":"10.1109\/CVPR.2016.182"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Ledig, C., et al.: Photo-realistic single image super-resolution using a generative adversarial network. In: CVPR, pp. 105\u2013114 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Lim, B., Son, S., Kim, H., Nah, S., Lee, K.M.: Enhanced deep residual networks for single image super-resolution. In: CVPR, pp. 1132\u20131140 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"issue":"3","key":"9_CR9","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/30.468045","volume":"41","author":"YC Liu","year":"1995","unstructured":"Liu, Y.C., Chan, W.H., Chen, Y.Q.: Automatic white balance for digital still camera. IEEE Trans. Consum. Electron. 41(3), 460\u2013466 (1995)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1109\/ACCESS.2017.2648845","volume":"5","author":"H Lu","year":"2017","unstructured":"Lu, H., Li, Y., Nakashima, S., Kim, H., Serikawa, S.: Underwater image super-resolution by descattering and fusion. IEEE Access 5, 670\u2013679 (2017)","journal-title":"IEEE Access"},{"key":"9_CR11","unstructured":"Miyato, T., Kataoka, T., Koyama, M., Yoshida, Y.: Spectral normalization for generative adversarial networks. In: ICLR (2018)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Shi, W., et al.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: CVPR, pp. 1874\u20131883 (2016)","DOI":"10.1109\/CVPR.2016.207"},{"key":"9_CR13","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"9_CR14","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NIPS, pp. 6000\u20136010 (2017)"},{"key":"9_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-030-11021-5_5","volume-title":"Computer Vision \u2013 ECCV 2018 Workshops","author":"X Wang","year":"2019","unstructured":"Wang, X., et al.: ESRGAN: enhanced super-resolution generative adversarial networks. In: Leal-Taix\u00e9, L., Roth, S. (eds.) ECCV 2018. LNCS, vol. 11133, pp. 63\u201379. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11021-5_5"},{"issue":"4","key":"9_CR16","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.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Processing 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Processing"},{"key":"9_CR17","unstructured":"Yang, W., Zhang, X., Tian, Y., Wang, W., Xue, J.: Deep learning for single image super-resolution: a brief review. CoRR abs\/1808.03344 (2018)"},{"key":"9_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/978-3-030-01240-3_12","volume-title":"Computer Vision \u2013 ECCV 2018","author":"M Li","year":"2018","unstructured":"Li, M., Huang, H., Ma, L., Liu, W., Zhang, T., Jiang, Y.: Unsupervised image-to-image translation with stacked cycle-consistent adversarial networks. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11213, pp. 186\u2013201. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01240-3_12"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36808-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:20:26Z","timestamp":1710249626000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36808-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368074","9783030368081"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36808-1_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}