{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T20:48:54Z","timestamp":1757450934991,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031533075"},{"type":"electronic","value":"9783031533082"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-53308-2_9","type":"book-chapter","created":{"date-parts":[[2024,1,27]],"date-time":"2024-01-27T21:37:36Z","timestamp":1706391456000},"page":"112-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-scale Decomposition Dehazing with\u00a0Polarimetric Vision"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2098-6001","authenticated-orcid":false,"given":"Tongwei","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7823-5091","authenticated-orcid":false,"given":"Lilian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6618-0908","authenticated-orcid":false,"given":"Bo","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5838-0187","authenticated-orcid":false,"given":"Chen","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,28]]},"reference":[{"key":"9_CR1","unstructured":"Imx250 cmos sensor. https:\/\/www.sony-semicon.co.jp\/e\/products\/IS\/polarization\/"},{"issue":"8","key":"9_CR2","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1109\/TIP.2013.2262284","volume":"22","author":"CO Ancuti","year":"2013","unstructured":"Ancuti, C.O., Ancuti, C.: Single image dehazing by multi-scale fusion. IEEE Trans. Image Process. 22(8), 3271\u20133282 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Berman, D., Treibitz, T., Avidan, S.: Non-local image dehazing. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1674\u20131682 (2016)","DOI":"10.1109\/CVPR.2016.185"},{"issue":"11","key":"9_CR4","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":"9_CR5","doi-asserted-by":"crossref","unstructured":"Hahner, M., Dai, D., Sakaridis, C., Zaech, J.N., Gool, L.V.: Semantic understanding of foggy scenes with purely synthetic data. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 3675\u20133681 (2019)","DOI":"10.1109\/ITSC.2019.8917518"},{"issue":"2","key":"9_CR6","doi-asserted-by":"publisher","first-page":"87","DOI":"10.5566\/ias.v27.p87-95","volume":"27","author":"N Hautiere","year":"2008","unstructured":"Hautiere, N., Tarel, J.P., Aubert, D., Dumont, E.: Blind contrast enhancement assessment by gradient ratioing at visible edges. Image Analy. Stereology 27(2), 87\u201395 (2008)","journal-title":"Image Analy. Stereology"},{"issue":"12","key":"9_CR7","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":"9_CR8","doi-asserted-by":"crossref","unstructured":"Kaftory, R., Schechner, Y.Y., Zeevi, Y.Y.: Variational distance-dependent image restoration. In: Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383262"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: Aod-net: All-in-one dehazing network. In: Proceedings of IEEE Conference on Computer Vision (ICCV), pp. 4770\u20134778 (2017)","DOI":"10.1109\/ICCV.2017.511"},{"key":"9_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/978-3-030-58595-2_28","volume-title":"Computer Vision \u2013 ECCV 2020","author":"N Li","year":"2020","unstructured":"Li, N., Zhao, Y., Pan, Q., Kong, S.G., Chan, J.C.-W.: Full-time monocular road detection using zero-distribution prior of angle of polarization. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12370, pp. 457\u2013473. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58595-2_28"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"9270","DOI":"10.1109\/TIP.2021.3123551","volume":"30","author":"Z Li","year":"2021","unstructured":"Li, Z., Shu, H., Zheng, C.: Multi-scale single image dehazing using laplacian and gaussian pyramids. IEEE Trans. Image Process. 30, 9270\u20139279 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Liang, J., Ren, L., Ju, H., Qu, E., Wang, Y.: Visibility enhancement of hazy images based on a universal polarimetric imaging method. J. Appl. Phys. 116(17) (2014)","DOI":"10.1063\/1.4901244"},{"issue":"20","key":"9_CR13","doi-asserted-by":"publisher","first-page":"26146","DOI":"10.1364\/OE.23.026146","volume":"23","author":"J Liang","year":"2015","unstructured":"Liang, J., Ren, L., Ju, H., Zhang, W., Qu, E.: Polarimetric dehazing method for dense haze removal based on distribution analysis of angle of polarization. Opt. Express 23(20), 26146\u201326157 (2015)","journal-title":"Opt. Express"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Liang, J., Zhang, W., Ren, L., Ju, H., E., Q.: Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion. Appl. Opt. 55(29), 8221\u20138226 (2016)","DOI":"10.1364\/AO.55.008221"},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1109\/TIP.2020.3033402","volume":"30","author":"W Liu","year":"2020","unstructured":"Liu, W., Zhou, F., Duan, J., Qiu, G.: Image defogging quality assessment: real-world database and method. IEEE Trans. Image Process. 30, 176\u2013190 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"3934","DOI":"10.1109\/TMM.2021.3110483","volume":"24","author":"X Liu","year":"2021","unstructured":"Liu, X., Li, H., Zhu, C.: Joint contrast enhancement and exposure fusion for real-world image dehazing. IEEE Trans. Multimedia 24, 3934\u20133946 (2021)","journal-title":"IEEE Trans. Multimedia"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Liu, X., Ma, Y., Shi, Z., Chen, J.: Griddehazenet: attention-based multi-scale network for image dehazing. In: Proc. IEEE Conference on Computer Vision (ICCV), pp. 7314\u20137323 (2019)","DOI":"10.1109\/ICCV.2019.00741"},{"key":"9_CR18","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.infrared.2017.02.005","volume":"82","author":"J Ma","year":"2017","unstructured":"Ma, J., Zhou, Z., Wang, B., Zong, H.: Infrared and visible image fusion based on visual saliency map and weighted least square optimization. Infrared Phys. Techn. 82, 8\u201317 (2017)","journal-title":"Infrared Phys. Techn."},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Namer, E., Schechner, Y.Y.: Advanced visibility improvement based on polarization filtered images. In: Polarization Science and Remote Sensing II, vol. 5888, pp. 36\u201345 (2005)","DOI":"10.1117\/12.617464"},{"issue":"6","key":"9_CR20","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1109\/TPAMI.2003.1201821","volume":"25","author":"SG Narasimhan","year":"2003","unstructured":"Narasimhan, S.G., Nayar, S.K.: Contrast restoration of weather degraded images. IEEE Trans. Pattern Anal. Mach. Intell. 25(6), 713\u2013724 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Nayar, S.K., Narasimhan, S.G.: Vision in bad weather. In: Proc. IEEE Conference on Computer Vision (ICCV), vol. 2, pp. 820\u2013827 (1999)","DOI":"10.1109\/ICCV.1999.790306"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Qin, X., Wang, Z., Bai, Y., Xie, X., Jia, H.: Ffa-net: feature fusion attention network for single image dehazing. In: AAAI, vol. 34, pp. 11908\u201311915 (2020)","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Qu, Y., Chen, Y., J., H., Xie, Y.: Enhanced pix2pix dehazing network. In: Proceedings of IEEE Conference on Computer Vision Pattern Recognition (CVPR). pp. 8160\u20138168 (2019)","DOI":"10.1109\/CVPR.2019.00835"},{"key":"9_CR24","doi-asserted-by":"publisher","first-page":"4832","DOI":"10.1109\/TIP.2020.2975909","volume":"29","author":"SC Raikwar","year":"2020","unstructured":"Raikwar, S.C., Tapaswi, S.: Lower bound on transmission using non-linear bounding function in single image dehazing. IEEE Trans. Image Process. 29, 4832\u20134847 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"9_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/978-3-030-01261-8_42","volume-title":"Computer Vision \u2013 ECCV 2018","author":"C Sakaridis","year":"2018","unstructured":"Sakaridis, C., Dai, D., Hecker, S., Van Gool, L.: Model adaptation with synthetic and real data for semantic dense foggy scene understanding. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11217, pp. 707\u2013724. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01261-8_42"},{"issue":"5","key":"9_CR26","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1109\/TMM.2018.2871955","volume":"21","author":"L Shen","year":"2018","unstructured":"Shen, L., Zhao, Y., Peng, Q., Chan, J., Kong, S.G.: An iterative image dehazing method with polarization. IEEE Trans. Multimedia 21(5), 1093\u20131107 (2018)","journal-title":"IEEE Trans. Multimedia"},{"key":"9_CR27","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2021.789232","volume":"9","author":"Y Shi","year":"2022","unstructured":"Shi, Y., Guo, E., Bai, L., Han, J.: Polarization-based haze removal using self-supervised network. Front. Phys. 9, 789232 (2022)","journal-title":"Front. Phys."},{"key":"9_CR28","doi-asserted-by":"crossref","unstructured":"Shwartz, S., Namer, E., Schechner, Y.Y.: Blind haze separation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 1984\u20131991 (2006)","DOI":"10.1109\/CVPR.2006.71"},{"key":"9_CR29","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","volume":"32","author":"Y Song","year":"2023","unstructured":"Song, Y., He, Z., Qian, H., Du, X.: Vision transformers for single image dehazing. IEEE Trans. Image Process. 32, 1927\u20131941 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"9_CR30","doi-asserted-by":"crossref","unstructured":"Treibitz, T., Schechner, Y.Y.: Polarization: beneficial for visibility enhancement? In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 525\u2013532 (2009)","DOI":"10.1109\/CVPRW.2009.5206551"},{"key":"9_CR31","doi-asserted-by":"publisher","first-page":"8968","DOI":"10.1109\/TIP.2021.3116790","volume":"30","author":"H Ullah","year":"2021","unstructured":"Ullah, H., et al.: Light-dehazenet: a novel lightweight cnn architecture for single image dehazing. IEEE Trans. Image Process. 30, 8968\u20138982 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"9_CR32","doi-asserted-by":"publisher","first-page":"5684","DOI":"10.1109\/TIM.2019.2959291","volume":"69","author":"Z Wan","year":"2019","unstructured":"Wan, Z., Zhao, K., Chu, J.: Robust azimuth measurement method based on polarimetric imaging for bionic polarization navigation. IEEE Trans. Instrum. Meas. 69(8), 5684\u20135692 (2019)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, Y., Cao, Y., Zha, Z.: Fusion-based low-light image enhancement. In: International Conference on Multimedia Modeling, pp. 121\u2013133 (2023)","DOI":"10.1007\/978-3-031-27077-2_10"},{"key":"9_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2022.108584","volume":"156","author":"Y Wang","year":"2022","unstructured":"Wang, Y., et al.: Polarimetric dehazing based on fusing intensity and degree of polarization. Optics Laser Technol. 156, 108584 (2022)","journal-title":"Optics Laser Technol."},{"key":"9_CR35","doi-asserted-by":"crossref","unstructured":"Xue, X., Hao, Z., Ding, Y., Jia, Q., Liu, R.: Multi-scale features joint rain removal for single image. In: Proceedings of IEEE Conference on Image Processing (ICIP), pp. 933\u2013937 (2020)","DOI":"10.1109\/ICIP40778.2020.9190848"},{"key":"9_CR36","doi-asserted-by":"crossref","unstructured":"Yu, X., Xiao, C., Deng, M., Peng, L.: A classification algorithm to distinguish image as haze or non-haze. In: Proceedings of IEEE International Conference on Image Graphics, pp. 286\u2013289 (2011)","DOI":"10.1109\/ICIG.2011.22"},{"key":"9_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1007\/978-3-319-10578-9_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Q Zhang","year":"2014","unstructured":"Zhang, Q., Shen, X., Xu, L., Jia, J.: Rolling guidance filter. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 815\u2013830. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10578-9_53"},{"issue":"14","key":"9_CR38","doi-asserted-by":"publisher","first-page":"8062","DOI":"10.1109\/JSEN.2020.2981719","volume":"20","author":"M Zheng","year":"2020","unstructured":"Zheng, M., Qi, G., Zhu, Z., Li, Y., Wei, H., Liu, Y.: Image dehazing by an artificial image fusion method based on adaptive structure decomposition. IEEE Sensors J. 20(14), 8062\u20138072 (2020)","journal-title":"IEEE Sensors J."},{"key":"9_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3225843","volume":"60","author":"Y Zheng","year":"2022","unstructured":"Zheng, Y., Su, J., Zhang, S., Tao, M., Wang, L.: Dehaze-aggan: unpaired remote sensing image dehazing using enhanced attention-guide generative adversarial networks. IEEE Trans. Geosci. Remote Sens. 60, 1\u201313 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"9_CR40","first-page":"11487","volume":"34","author":"C Zhou","year":"2021","unstructured":"Zhou, C., Teng, M., Han, Y., Xu, C., Shi, B.: Learning to dehaze with polarization. Adv. Neural. Inf. Process. Syst. 34, 11487\u201311500 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"2","key":"9_CR41","doi-asserted-by":"publisher","first-page":"298","DOI":"10.37188\/CO.2020-0099","volume":"14","author":"W Zhou","year":"2021","unstructured":"Zhou, W., Fan, C., Hu, X., Zhang, L.: Multi-scale singular value decomposition polarization image fusion defogging algorithm and experiment. Chin. Optics 14(2), 298\u2013306 (2021)","journal-title":"Chin. Optics"},{"key":"9_CR42","doi-asserted-by":"crossref","unstructured":"Zuiderveld, K.: Contrast limited adaptive histogram equalization. Graphics Gems, pp. 474\u2013485 (1994)","DOI":"10.1016\/B978-0-12-336156-1.50061-6"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53308-2_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T09:57:17Z","timestamp":1731146237000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53308-2_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031533075","9783031533082"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53308-2_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"28 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 January 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 February 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ConfTool Pro","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"297","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"112","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}