{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T17:38:52Z","timestamp":1767893932194,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811085291","type":"print"},{"value":"9789811085307","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-981-10-8530-7_47","type":"book-chapter","created":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T10:04:19Z","timestamp":1519812259000},"page":"479-486","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Towards Underwater Image Enhancement Using Super-Resolution Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Xueyan","family":"Ding","sequence":"first","affiliation":[]},{"given":"Yafei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xianping","family":"Fu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,1]]},"reference":[{"key":"47_CR1","doi-asserted-by":"crossref","unstructured":"Wang, R., Wang, Y., Zhang, J., Fu, X.: Review on underwater image restoration and enhancement algorithms. In: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, p. 56. ACM (2015)","DOI":"10.1145\/2808492.2808548"},{"issue":"1","key":"47_CR2","doi-asserted-by":"crossref","first-page":"746052","DOI":"10.1155\/2010\/746052","volume":"2010","author":"R Schettini","year":"2010","unstructured":"Schettini, R., Corchs, S.: Underwater image processing: state of the art of restoration and image enhancement methods. EURASIP J. Adv. Signal Process. 2010(1), 746052 (2010)","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"47_CR3","doi-asserted-by":"crossref","unstructured":"Hitam, M.S., Awalludin, E.A., Yussof, W.N.J.H.W., Bachok, Z.: Mixture contrast limited adaptive histogram equalization for underwater image enhancement. In: 2013 International Conference on Computer Applications Technology (ICCAT), pp. 1\u20135. IEEE (2013)","DOI":"10.1109\/ICCAT.2013.6522017"},{"key":"47_CR4","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.asoc.2015.08.033","volume":"37","author":"ASA Ghani","year":"2015","unstructured":"Ghani, A.S.A., Isa, N.A.M.: Enhancement of low quality underwater image through integrated global and local contrast correction. Appl. Soft Comput. 37, 332\u2013344 (2015)","journal-title":"Appl. Soft Comput."},{"issue":"12","key":"47_CR5","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341\u20132353 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"47_CR6","doi-asserted-by":"crossref","first-page":"5664","DOI":"10.1109\/TIP.2016.2612882","volume":"25","author":"C-Y Li","year":"2016","unstructured":"Li, C.-Y., Guo, J.-C., Cong, R.-M., Pang, Y.-W., Wang, B.: Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior. IEEE Trans. Image Process. 25(12), 5664\u20135677 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Ancuti, C., Ancuti, C.O., Haber, T., Bekaert, P.: Enhancing underwater images and videos by fusion. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 81\u201388. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247661"},{"key":"47_CR8","doi-asserted-by":"crossref","unstructured":"Wang, Y., Ding, X., Wang, R., Zhang, J., Fu, X.: Fusion-based underwater image enhancement by wavelet decomposition. In: 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1013\u20131018. IEEE (2017)","DOI":"10.1109\/ICIT.2017.7915500"},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Farhadifard, F., Zhou, Z., von Lukas, U.F.: Learning-based underwater image enhancement with adaptive color mapping. In: 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 48\u201353. IEEE (2015)","DOI":"10.1109\/ISPA.2015.7306031"},{"issue":"2","key":"47_CR10","doi-asserted-by":"crossref","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":"47_CR11","unstructured":"Goodfellow, I.J., Warde-Farley, D., Mirza, M., Courville, A., Bengio, Y.: Maxout networks. arXiv preprint \narXiv:1302.4389\n\n (2013)"},{"issue":"11","key":"47_CR12","doi-asserted-by":"crossref","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai, B., Xiangmin, X., Jia, K., Qing, C., Tao, D.: DehazeNet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"47_CR13","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s11263-014-0748-y","volume":"119","author":"J Xiao","year":"2016","unstructured":"Xiao, J., Ehinger, K.A., Hays, J., Torralba, A., Oliva, A.: Sun database: exploring a large collection of scene categories. Int. J. Comput. Vis. 119(1), 3\u201322 (2016)","journal-title":"Int. J. Comput. Vis."},{"issue":"12","key":"47_CR14","doi-asserted-by":"crossref","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.: A patch-structure representation method for quality assessment of contrast changed images. IEEE Signal Process. Lett. 22(12), 2387\u20132390 (2015)","journal-title":"IEEE Signal Process. Lett."},{"key":"47_CR15","doi-asserted-by":"crossref","unstructured":"Crete, F., Dolmiere, T., Ladret, P., Nicolas, M.: The blur effect: perception and estimation with a new no-reference perceptual blur metric. In: Human Vision and Electronic Imaging, vol. 12, p. 64920 (2007)","DOI":"10.1117\/12.702790"},{"key":"47_CR16","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"}],"container-title":["Communications in Computer and Information Science","Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-8530-7_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T10:28:07Z","timestamp":1519813687000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-8530-7_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811085291","9789811085307"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-8530-7_47","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}