{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:01:27Z","timestamp":1743127287658,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030544065"},{"type":"electronic","value":"9783030544072"}],"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"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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\/978-3-030-54407-2_40","type":"book-chapter","created":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T23:30:57Z","timestamp":1596151857000},"page":"472-479","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fog Removal of Aerial Image Based on Gamma Correction and Guided Filtering"],"prefix":"10.1007","author":[{"given":"Xinggang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0301-5262","authenticated-orcid":false,"given":"Changjiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyou","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,31]]},"reference":[{"issue":"3","key":"40_CR1","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1145\/1360612.1360671","volume":"27","author":"R Fattal","year":"2008","unstructured":"Fattal, R.: Single image dehazing. ACM Trans. Graph. (TOG) 27(3), 72 (2008)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"40_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-15549-9_1","volume-title":"Computer Vision \u2013 ECCV 2010","author":"K He","year":"2010","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 1\u201314. Springer, Heidelberg (2010). \nhttps:\/\/doi.org\/10.1007\/978-3-642-15549-9_1"},{"issue":"12","key":"40_CR3","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."},{"issue":"6","key":"40_CR4","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1109\/TPAMI.2012.213","volume":"35","author":"K He","year":"2012","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6), 1397\u20131409 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"40_CR5","doi-asserted-by":"crossref","unstructured":"Huang, D., Fang, Z., Zhao, L., Chu, X.: An improved image clearness algorithm based on dark channel prior. In: Proceedings of the 33rd Chinese Control Conference, pp. 7350\u20137355. IEEE (2014)","DOI":"10.1109\/ChiCC.2014.6896219"},{"issue":"3","key":"40_CR6","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson, D.J., Rahman, Z.U., Woodell, G.A.: Properties and performance of a center\/surround retinex. IEEE Trans. Image Process. 6(3), 451\u2013462 (1997)","journal-title":"IEEE Trans. Image Process."},{"issue":"16","key":"40_CR7","doi-asserted-by":"publisher","first-page":"23281","DOI":"10.1007\/s11042-019-7574-8","volume":"78","author":"R Kapoor","year":"2019","unstructured":"Kapoor, R., Gupta, R., Son, L.H., Kumar, R., Jha, S.: Fog removal in images using improved dark channel prior and contrast limited adaptive histogram equalization. Multimed. Tools Appl. 78(16), 23281\u201323307 (2019). \nhttps:\/\/doi.org\/10.1007\/s11042-019-7574-8","journal-title":"Multimed. Tools Appl."},{"issue":"1","key":"40_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1364\/JOSA.61.000001","volume":"61","author":"EH Land","year":"1971","unstructured":"Land, E.H., McCann, J.: Lightness and retinex theory. J. Opt. Soc. Am. 61(1), 1\u201311 (1971)","journal-title":"J. Opt. Soc. Am."},{"key":"40_CR9","doi-asserted-by":"crossref","unstructured":"Li, S., Ren, W., Zhang, J., Yu, J., Guo, X.: Single image rain removal via a deep decomposition\u2013composition network. In: Computer Vision and Image Understanding (2019)","DOI":"10.1016\/j.cviu.2019.05.003"},{"key":"40_CR10","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.isprsjprs.2017.02.016","volume":"128","author":"C Liu","year":"2017","unstructured":"Liu, C., Cheng, I., Zhang, Y., Basu, A.: Enhancement of low visibility aerial images using histogram truncation and an explicit retinex representation for balancing contrast and color consistency. ISPRS J. Photogram. Remote Sens. 128, 16\u201326 (2017)","journal-title":"ISPRS J. Photogram. Remote Sens."},{"issue":"2","key":"40_CR11","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1109\/JSTARS.2019.2891566","volume":"12","author":"P Liu","year":"2019","unstructured":"Liu, P., Wang, M., Wang, L., Han, W.: Remote-sensing image denoising with multi-sourced information. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 12(2), 660\u2013674 (2019)","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"40_CR12","doi-asserted-by":"crossref","unstructured":"Livingston, M.A., Garrett, C.R., Ai, Z.: Image processing for human understanding in low-visibility. Techical report, Naval Research Lab Washington DC Information Technology Div (2011)","DOI":"10.21236\/ADA609988"},{"issue":"24","key":"40_CR13","doi-asserted-by":"publisher","first-page":"17081","DOI":"10.1007\/s11042-015-2977-7","volume":"75","author":"H Lu","year":"2015","unstructured":"Lu, H., Li, Y., Nakashima, S., Serikawa, S.: Single image dehazing through improved atmospheric light estimation. Multimed. Tools Appl. 75(24), 17081\u201317096 (2015). \nhttps:\/\/doi.org\/10.1007\/s11042-015-2977-7","journal-title":"Multimed. Tools Appl."},{"key":"40_CR14","unstructured":"Patil, M.D., Sutar, M.S., Mulla, M.A.: Automatic image enhancement for better visualization using retinex technique. Int. J. Sci. Res. Publ. 3(6), 1\u20134 (2013)"},{"issue":"3","key":"40_CR15","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1109\/TIP.2017.2779601","volume":"27","author":"YF Pu","year":"2017","unstructured":"Pu, Y.F., et al.: A fractional-order variational framework for retinex: fractional-order partial differential equation-based formulation for multi-scale nonlocal contrast enhancement with texture preserving. IEEE Trans. Image Process. 27(3), 1214\u20131229 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"40_CR16","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.optlastec.2018.06.061","volume":"110","author":"S Sahu","year":"2019","unstructured":"Sahu, S., Singh, A.K., Ghrera, S., Elhoseny, M., et al.: An approach for de-noising and contrast enhancement of retinal fundus image using clahe. Optics Laser Technol. 110, 87\u201398 (2019)","journal-title":"Optics Laser Technol."},{"key":"40_CR17","doi-asserted-by":"crossref","unstructured":"Suarez, P.L., Sappa, A.D., Vintimilla, B.X., Hammoud, R.I.: Deep learning based single image dehazing. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018)","DOI":"10.1109\/CVPRW.2018.00162"},{"issue":"5","key":"40_CR18","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1016\/j.jvcir.2014.01.008","volume":"25","author":"A Tanchenko","year":"2014","unstructured":"Tanchenko, A.: Visual-psnr measure of image quality. J. Vis. Commun. Image Represent. 25(5), 874\u2013878 (2014)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"3","key":"40_CR19","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1109\/JAS.2017.7510532","volume":"4","author":"W Wang","year":"2017","unstructured":"Wang, W., Yuan, X.: Recent advances in image dehazing. IEEE\/CAA J. Automatica Sinica 4(3), 410\u2013436 (2017)","journal-title":"IEEE\/CAA J. Automatica Sinica"}],"container-title":["Lecture Notes in Computer Science","Smart Multimedia"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-54407-2_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T23:56:39Z","timestamp":1596153399000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-54407-2_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030544065","9783030544072"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-54407-2_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Multimedia","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Diego, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"16 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icsm2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/smartmultimedia.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Papercept","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"102","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":"18","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":"10","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":"18% - 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","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","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18 papers in five special sessions are also included.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}