{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T04:04:22Z","timestamp":1744949062652,"version":"3.40.4"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031877803","type":"print"},{"value":"9783031877810","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-87781-0_8","type":"book-chapter","created":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T03:29:49Z","timestamp":1744860589000},"page":"72-81","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatial-Aware Enhancement Based Dehazing Method for Low Illumination Images"],"prefix":"10.1007","author":[{"given":"Juan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanhai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zizhen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu An","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jixiang","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,18]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Wang, K., Meng, Z., Wu, Z.: Deep learning-based ground target detection and tracking for aerial photography from UAVs. Appl. Sci. (2021)","DOI":"10.3390\/app11188434"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Parihar, A.S., Gupta, Y.K., Singodia, Y., et al.: A comparative study of image dehazing algorithms. In: 2020 5th International Conference on Communication and Electronics Systems (ICCES), pp. 766\u2013771. IEEE (2020)","DOI":"10.1109\/ICCES48766.2020.9138037"},{"issue":"2","key":"8_CR3","doi-asserted-by":"publisher","first-page":"100","DOI":"10.36548\/jiip.2021.2.003","volume":"3","author":"M Tripathi","year":"2021","unstructured":"Tripathi, M.: Analysis of convolutional neural network based image classification techniques. J. Innov. Image Process. 3(2), 100\u2013117 (2021)","journal-title":"J. Innov. Image Process."},{"issue":"01","key":"8_CR4","doi-asserted-by":"publisher","first-page":"44","DOI":"10.36548\/jiip.2020.1.005","volume":"2","author":"S Shakya","year":"2020","unstructured":"Shakya, S.: Analysis of artificial intelligence based image classification techniques. J. Innov. Image Process. 2(01), 44\u201354 (2020)","journal-title":"J. Innov. Image Process."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Sanghvi, K., Aralkar, A., Sanghvi, S., et al.: A survey on image classification techniques (2020). Available at SSRN: 3754116","DOI":"10.2139\/ssrn.3754116"},{"issue":"3","key":"8_CR6","doi-asserted-by":"publisher","first-page":"2494","DOI":"10.1109\/TITS.2021.3117868","volume":"23","author":"G Kim","year":"2021","unstructured":"Kim, G., Kwon, J.: Deep illumination-aware dehazing with low-light and detail enhancement. IEEE Trans. Intell. Transp. Syst. 23(3), 2494\u20132508 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"\u00c7imtay, Y., Yilmaz, G.N.: Low light image enhancement on mobile devices by using dehazing. In: Electrical and Computer Engineering: First International Congress, ICECENG 2022, Virtual Event, Proceedings, pp. 57\u201367. Springer International Publishing, Cham (2022)","DOI":"10.1007\/978-3-031-01984-5_5"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, Proceedings, Part III 18, pp. 234\u2013241. Springer International Publishing (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"8_CR9","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":"8_CR10","doi-asserted-by":"crossref","unstructured":"Shyam, P., Yoon, K.J., Kim, K.S.: Towards domain invariant single image dehazing. Proc. AAAI Conf. Artif. Intell. 35(11), 9657\u20139665 (2021)","DOI":"10.1609\/aaai.v35i11.17162"},{"issue":"12","key":"8_CR11","doi-asserted-by":"publisher","first-page":"1842","DOI":"10.3724\/SP.J.1089.2022.19188","volume":"34","author":"D Chen Zhihua","year":"2022","unstructured":"Chen Zhihua, D., Yuanjun, W.Y., et al.: A dense residual fusion and spatial local filtering low light defogging algorithm based on attention mechanism. J. Comput. Aided Des. Graph. 34(12), 1842\u20131849 (2022)","journal-title":"J. Comput. Aided Des. Graph."},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Ki, S., Sim, H., Chio, J.S., et al.: Fully end-to-end learning based conditional boundary equilibrium GAN with receptive field sizes enlarged for single ultra-high resolution image dehazing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 817\u2013824 (2018)","DOI":"10.1109\/CVPRW.2018.00126"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"7620","DOI":"10.1109\/TIP.2021.3108022","volume":"30","author":"X Zhu","year":"2021","unstructured":"Zhu, X., Li, S., Gan, Y., et al.: Multi-stream fusion network with generalized smooth L1 loss for single image dehazing. IEEE Trans. Image Process. 30, 7620\u20137635 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, J., Cao, Y., Zha, Z.J., et al.: Nighttime dehazing with a synthetic benchmark. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 2355\u20132363. ACM Press, New York (2020)","DOI":"10.1145\/3394171.3413763"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, J., Cao, Y., Wang, Z.: Nighttime haze removal based on a new imaging model. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 4557\u20134561. IEEE (2014)","DOI":"10.1109\/ICIP.2014.7025924"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87781-0_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T03:30:00Z","timestamp":1744860600000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87781-0_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877803","9783031877810"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87781-0_8","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"18 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}