{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T15:27:14Z","timestamp":1773847634656,"version":"3.50.1"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030406042","type":"print"},{"value":"9783030406059","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-40605-9_36","type":"book-chapter","created":{"date-parts":[[2020,2,5]],"date-time":"2020-02-05T14:03:51Z","timestamp":1580911431000},"page":"421-432","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Unsupervised Desmoking of Laparoscopy Images Using Multi-scale DesmokeNet"],"prefix":"10.1007","author":[{"given":"V.","family":"Vishal","sequence":"first","affiliation":[]},{"given":"Varun","family":"Venkatesh","sequence":"additional","affiliation":[]},{"given":"Kshetrimayum","family":"Lochan","sequence":"additional","affiliation":[]},{"given":"Neeraj","family":"Sharma","sequence":"additional","affiliation":[]},{"given":"Munendra","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,6]]},"reference":[{"key":"36_CR1","doi-asserted-by":"crossref","unstructured":"Baid, A., Kotwal, A., Bhalodia, R., Merchant, S., Awate, S.P.: Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. In: 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017, pp. 732\u2013736. IEEE (2017)","DOI":"10.1109\/ISBI.2017.7950623"},{"issue":"6","key":"36_CR2","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1007\/s00464-002-8584-5","volume":"17","author":"WL Barrett","year":"2003","unstructured":"Barrett, W.L., Garber, S.M.: Surgical smoke: a review of the literature. Surg. Endosc. 17(6), 979\u2013987 (2003)","journal-title":"Surg. Endosc."},{"key":"36_CR3","doi-asserted-by":"crossref","unstructured":"Berman, D., Avidan, S., et al.: Non-local image dehazing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1674\u20131682 (2016)","DOI":"10.1109\/CVPR.2016.185"},{"key":"36_CR4","doi-asserted-by":"crossref","unstructured":"Bolkar, S., Wang, C., Cheikh, F.A., Yildirim, S.: Deep smoke removal from minimally invasive surgery videos. In: 2018 25th IEEE International Conference on Image Processing (ICIP), pp. 3403\u20133407. IEEE (2018)","DOI":"10.1109\/ICIP.2018.8451815"},{"issue":"11","key":"36_CR5","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.: 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."},{"key":"36_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1007\/978-3-319-46493-0_22","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Z Cai","year":"2016","unstructured":"Cai, Z., Fan, Q., Feris, R.S., Vasconcelos, N.: A unified multi-scale deep convolutional neural network for fast object detection. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 354\u2013370. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_22"},{"key":"36_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1007\/978-3-030-01234-2_49","volume-title":"Computer Vision \u2013 ECCV 2018","author":"L-C Chen","year":"2018","unstructured":"Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11211, pp. 833\u2013851. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01234-2_49"},{"key":"36_CR8","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing systems, pp. 2672\u20132680 (2014)"},{"issue":"12","key":"36_CR9","first-page":"2341","volume":"33","author":"K He","year":"2010","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 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"36_CR11","unstructured":"Karacan, L., Akata, Z., Erdem, A., Erdem, E.: Learning to generate images of outdoor scenes from attributes and semantic layouts. arXiv preprint arXiv:1612.00215 (2016)"},{"key":"36_CR12","unstructured":"Kim, T., Cha, M., Kim, H., Lee, J.K., Kim, J.: Learning to discover cross-domain relations with generative adversarial networks. In: Proceedings of the 34th International Conference on Machine Learning-Volume 70, pp. 1857\u20131865. JMLR. org (2017)"},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Kotwal, A., Bhalodia, R., Awate, S.P.: Joint desmoking and denoising of laparoscopy images. In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 1050\u20131054. IEEE (2016)","DOI":"10.1109\/ISBI.2016.7493446"},{"issue":"6","key":"36_CR14","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1089\/end.2009.0594","volume":"24","author":"N Lawrentschuk","year":"2010","unstructured":"Lawrentschuk, N., Fleshner, N.E., Bolton, D.M.: Laparoscopic lens fogging: a review of etiology and methods to maintain a clear visual field. J. Endourol. 24(6), 905\u2013913 (2010)","journal-title":"J. Endourol."},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"Leibetseder, A., Primus, M.J., Petscharnig, S., Schoeffmann, K.: Real-time image-based smoke detection in endoscopic videos. In: Proceedings of the on Thematic Workshops of ACM Multimedia 2017, pp. 296\u2013304. ACM (2017)","DOI":"10.1145\/3126686.3126690"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"Lim, B., Son, S., Kim, H., Nah, S., Mu Lee, K.: Enhanced deep residual networks for single image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 136\u2013144 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"key":"36_CR17","unstructured":"Liu, M.Y., Breuel, T., Kautz, J.: Unsupervised image-to-image translation networks. In: Advances in Neural Information Processing Systems, pp. 700\u2013708 (2017)"},{"issue":"10","key":"36_CR18","doi-asserted-by":"publisher","first-page":"2021","DOI":"10.1109\/TMI.2017.2701861","volume":"36","author":"X Luo","year":"2017","unstructured":"Luo, X., McLeod, A.J., Pautler, S.E., Schlachta, C.M., Peters, T.M.: Vision-based surgical field defogging. IEEE Trans. Med. Imaging 36(10), 2021\u20132030 (2017)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Paul Smolley, S.: Least squares generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2794\u20132802 (2017)","DOI":"10.1109\/ICCV.2017.304"},{"issue":"12","key":"36_CR20","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"36_CR21","doi-asserted-by":"crossref","unstructured":"Sangkloy, P., Lu, J., Fang, C., Yu, F., Hays, J.: Scribbler: controlling deep image synthesis with sketch and color. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5400\u20135409 (2017)","DOI":"10.1109\/CVPR.2017.723"},{"key":"36_CR22","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: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1874\u20131883 (2016)","DOI":"10.1109\/CVPR.2016.207"},{"issue":"8","key":"36_CR23","doi-asserted-by":"publisher","first-page":"2980","DOI":"10.1007\/s00464-013-2821-y","volume":"27","author":"H Takahashi","year":"2013","unstructured":"Takahashi, H., et al.: Automatic smoke evacuation in laparoscopic surgery: a simplified method for objective evaluation. Surg. Endosc. 27(8), 2980\u20132987 (2013)","journal-title":"Surg. Endosc."},{"key":"36_CR24","doi-asserted-by":"crossref","unstructured":"Tchaka, K., Pawar, V.M., Stoyanov, D.: Chromaticity based smoke removal in endoscopic images. In: Medical Imaging 2017: Image Processing, vol. 10133, p. 101331M. International Society for Optics and Photonics (2017)","DOI":"10.1117\/12.2254622"},{"issue":"1","key":"36_CR25","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TMI.2016.2593957","volume":"36","author":"AP Twinanda","year":"2016","unstructured":"Twinanda, A.P., Shehata, S., Mutter, D., Marescaux, J., De Mathelin, M., Padoy, N.: EndoNet: a deep architecture for recognition tasks on laparoscopic videos. IEEE Trans. Med. Imaging 36(1), 86\u201397 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"36_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-030-32695-1_3","volume-title":"OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging","author":"V Vishal","year":"2019","unstructured":"Vishal, V., Sharma, N., Singh, M.: Guided unsupervised desmoking of laparoscopic images using cycle-desmoke. In: Zhou, L., et al. (eds.) OR 2.0\/MLCN -2019. LNCS, vol. 11796, pp. 21\u201328. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32695-1_3"},{"issue":"1","key":"36_CR27","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1186\/s12938-018-0590-5","volume":"17","author":"C Wang","year":"2018","unstructured":"Wang, C., Cheikh, F.A., Kaaniche, M., Beghdadi, A., Elle, O.J.: Variational based smoke removal in laparoscopic images. Biomed. Eng. Online 17(1), 139 (2018)","journal-title":"Biomed. Eng. Online"},{"key":"36_CR28","doi-asserted-by":"crossref","unstructured":"Wang, C., Mohammed, A.K., Cheikh, F.A., Beghdadi, A., Elle, O.J.: Multiscale deep desmoking for laparoscopic surgery. In: Medical Imaging 2019: Image Processing, vol. 10949, p. 109491Y. International Society for Optics and Photonics (2019)","DOI":"10.1117\/12.2507822"},{"key":"36_CR29","unstructured":"Yan, J., Li, J., Fu, X.: No-reference quality assessment of contrast-distorted images using contrast enhancement. arXiv preprint arXiv:1904.08879 (2019)"},{"key":"36_CR30","doi-asserted-by":"crossref","unstructured":"Yi, Z., Zhang, H., Tan, P., Gong, M.: DualGAN: unsupervised dual learning for image-to-image translation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2849\u20132857 (2017)","DOI":"10.1109\/ICCV.2017.310"},{"key":"36_CR31","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","Advanced Concepts for Intelligent Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-40605-9_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:07:30Z","timestamp":1709824050000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-40605-9_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030406042","9783030406059"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-40605-9_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"6 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIVS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Concepts for Intelligent Vision Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 February 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 February 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acivs2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/acivs.org\/acivs2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}