{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:15:05Z","timestamp":1783556105038,"version":"3.55.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030057916","type":"print"},{"value":"9783030057923","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T00:00:00Z","timestamp":1545177600000},"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\/978-3-030-05792-3_2","type":"book-chapter","created":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T12:05:27Z","timestamp":1545134727000},"page":"16-25","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter"],"prefix":"10.1007","author":[{"given":"Micha\u0142","family":"Koziarski","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bogus\u0142aw","family":"Cyganek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,12,19]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Banerjee, S., Sanyal, G., Ghosh, S., Ray, R., Shome, S.N.: Elimination of marine snow effect from underwater image - an adaptive probabilistic approach. In: 2014 IEEE Students\u2019 Conference on Electrical, Electronics and Computer Science (SCEECS), pp. 1\u20134. IEEE (2014)","DOI":"10.1109\/SCEECS.2014.6804438"},{"key":"2_CR2","doi-asserted-by":"publisher","DOI":"10.1063\/1.3067318","volume-title":"The Sea Around Us","author":"R Carson","year":"1951","unstructured":"Carson, R.: The Sea Around Us. Oxford University Press, Cary (1951)"},{"key":"2_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/9781118618387","volume-title":"Object Detection and Recognition in Digital Images: Theory and Practice","author":"B Cyganek","year":"2013","unstructured":"Cyganek, B.: Object Detection and Recognition in Digital Images: Theory and Practice. Wiley, Hoboken (2013)"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Farhadifard, F., Radolko, M., von Lukas, U.F.: Single image marine snow removal based on a supervised median filtering scheme. In: VISIGRAPP (4: VISAPP), pp. 280\u2013287 (2017)","DOI":"10.5220\/0006261802800287"},{"key":"2_CR5","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 249\u2013256 (2010)"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"2_CR7","unstructured":"Hines, C.L.: The official William Beebe web site. https:\/\/sites.google.com\/site\/cwilliambeebe\/Home\/bathysphere . Accessed 14 Mar 2018"},{"issue":"3","key":"2_CR8","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1109\/JOE.2014.2350751","volume":"40","author":"Jules S. Jaffe","year":"2015","unstructured":"Jaffe, J.: Underwater optical imaging: the past, the present, and the prospects. In: IEEE Journal of Oceanic Engineering, pp. 683\u2013700. IEEE (2015)","journal-title":"IEEE Journal of Oceanic Engineering"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Kim, J., Kwon Lee, J., Mu Lee, K.: 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"},{"key":"2_CR10","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"issue":"1","key":"2_CR11","doi-asserted-by":"publisher","first-page":"52","DOI":"10.4031\/002533208786861209","volume":"42","author":"DM Kocak","year":"2008","unstructured":"Kocak, D.M., Dalgleish, F.R., Caimi, F.M., Schechner, Y.Y.: A focus on recent developments and trends in underwater imaging. Mar. Technol. Soc. J. 42(1), 52\u201367 (2008)","journal-title":"Mar. Technol. Soc. J."},{"issue":"4","key":"2_CR12","doi-asserted-by":"publisher","first-page":"337","DOI":"10.3233\/ICA-170551","volume":"24","author":"M Koziarski","year":"2017","unstructured":"Koziarski, M., Cyganek, B.: Image recognition with deep neural networks in presence of noise-dealing with and taking advantage of distortions. Integr. Comput.-Aided Eng. 24(4), 337\u2013349 (2017)","journal-title":"Integr. Comput.-Aided Eng."},{"key":"2_CR13","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"2_CR14","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: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, vol. 1, p. 3 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Orzech, J.K.; Nealson, K.: Bioluminescence of marine snow: its effect on the optical properties of the sea. In: Proceedings of SPIE 0489, Ocean Optics VII. SPIE (1984)","DOI":"10.1117\/12.943292"},{"key":"2_CR17","unstructured":"Paszke, A., Chaurasia, A., Kim, S., Culurciello, E.: ENet: a deep neural network architecture for real-time semantic segmentation. arXiv preprint arXiv:1606.02147 (2016)"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"372","DOI":"10.4319\/lo.1963.8.4.0372","volume":"8","author":"G Riley","year":"1963","unstructured":"Riley, G.: Organic aggregates in seawater and the dynamics of their formation and utilization. Limnol. Oceanogr. 8, 372\u2013381 (1963)","journal-title":"Limnol. Oceanogr."},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1002\/lob.10005","volume":"24","author":"M Silver","year":"2015","unstructured":"Silver, M.: Marine snow: a brief historical sketch. Limnol. Oceanogr. Bull. 24, 5\u201310 (2015)","journal-title":"Limnol. Oceanogr. Bull."},{"key":"2_CR20","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: 2015 IEEE International Conference on Computer Vision (ICCV), pp. 4489\u20134497. IEEE (2015)","DOI":"10.1109\/ICCV.2015.510"},{"key":"2_CR22","unstructured":"Xie, J., Xu, L., Chen, E.: Image denoising and inpainting with deep neural networks. In: Advances in Neural Information Processing Systems, pp. 341\u2013349 (2012)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Information Forensics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05792-3_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T12:03:35Z","timestamp":1573560215000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05792-3_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,19]]},"ISBN":["9783030057916","9783030057923"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05792-3_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,19]]},"assertion":[{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icpr2018.org\/index.php?m=content&c=index&a=lists&catid=46","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}