{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:49:29Z","timestamp":1743140969594,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031431470"},{"type":"electronic","value":"9783031431487"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43148-7_5","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T20:48:35Z","timestamp":1693860515000},"page":"51-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Shallow Camera Pipeline for\u00a0Night Photography Enhancement"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8505-1581","authenticated-orcid":false,"given":"Simone","family":"Zini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6086-9838","authenticated-orcid":false,"given":"Claudio","family":"Rota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1138-3345","authenticated-orcid":false,"given":"Marco","family":"Buzzelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7070-1545","authenticated-orcid":false,"given":"Simone","family":"Bianco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7461-1451","authenticated-orcid":false,"given":"Raimondo","family":"Schettini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.inffus.2019.12.007","volume":"57","author":"S Bianco","year":"2020","unstructured":"Bianco, S., Buzzelli, M., Ciocca, G., Schettini, R.: Neural architecture search for image saliency fusion. Inform. Fusion 57, 89\u2013101 (2020)","journal-title":"Inform. Fusion"},{"key":"5_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-319-48680-2_11","volume-title":"Advanced Concepts for Intelligent Vision Systems","author":"S Bianco","year":"2016","unstructured":"Bianco, S., Celona, L., Napoletano, P., Schettini, R.: Predicting image aesthetics with deep learning. In: Blanc-Talon, J., Distante, C., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2016. LNCS, vol. 10016, pp. 117\u2013125. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-48680-2_11"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"6223","DOI":"10.1109\/TIP.2020.2989584","volume":"29","author":"S Bianco","year":"2020","unstructured":"Bianco, S., Cusano, C., Piccoli, F., Schettini, R.: Personalized image enhancement using neural spline color transforms. IEEE Trans. Image Process. 29, 6223\u20136236 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"5_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0016-0032(80)90058-7","volume":"310","author":"G Buchsbaum","year":"1980","unstructured":"Buchsbaum, G.: A spatial processor model for object colour perception. J. Franklin Inst. 310(1), 1\u201326 (1980)","journal-title":"J. Franklin Inst."},{"issue":"8","key":"5_CR5","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-d transform-domain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080\u20132095 (2007)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR6","unstructured":"Ershov, E., et al.: NTIRE 2022 challenge on night photography rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (2022)"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Guo, C., et al.: Zero-reference deep curve estimation for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1780\u20131789 (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","volume":"30","author":"Y Jiang","year":"2021","unstructured":"Jiang, Y., et al.: Enlightengan: deep light enhancement without paired supervision. IEEE Trans. Image Process. 30, 2340\u20132349 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1007\/978-3-319-46448-0_26","volume-title":"Computer Vision \u2013 ECCV 2016","author":"HC Karaimer","year":"2016","unstructured":"Karaimer, H.C., Brown, M.S.: A software platform for manipulating the camera imaging pipeline. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 429\u2013444. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_26"},{"issue":"12","key":"5_CR10","doi-asserted-by":"publisher","first-page":"9396","DOI":"10.1109\/TPAMI.2021.3126387","volume":"44","author":"C Li","year":"2021","unstructured":"Li, C., Guo, C., Han, L., Jiang, J., Cheng, M.M., Gu, J., Loy, C.C.: Low-light image and video enhancement using deep learning: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 9396\u20139416 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"5_CR11","first-page":"4225","volume":"44","author":"C Li","year":"2021","unstructured":"Li, C., Guo, C., Loy, C.C.: Learning to enhance low-light image via zero-reference deep curve estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8), 4225\u20134238 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Li, Z., Yi, S., Ma, Z.: Rendering nighttime image via cascaded color and brightness compensation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 897\u2013905 (2022)","DOI":"10.1109\/CVPRW56347.2022.00104"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Liu, S., et al.: Deep-flexisp: a three-stage framework for night photography rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1211\u20131220 (2022)","DOI":"10.1109\/CVPRW56347.2022.00128"},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"4093","DOI":"10.1109\/TMM.2020.3037526","volume":"23","author":"K Lu","year":"2020","unstructured":"Lu, K., Zhang, L.: Tbefn: A two-branch exposure-fusion network for low-light image enhancement. IEEE Trans. Multimedia 23, 4093\u20134105 (2020)","journal-title":"IEEE Trans. Multimedia"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Moroney, N.: Local color correction using non-linear masking. In: Color and Imaging Conference, vol. 2000, pp. 108\u2013111. Society for Imaging Science and Technology (2000)","DOI":"10.2352\/CIC.2000.8.1.art00021"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Qian, Y., Kamarainen, J.K., Nikkanen, J., Matas, J.: On finding gray pixels. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8062\u20138070 (2019)","DOI":"10.1109\/CVPR.2019.00825"},{"issue":"3","key":"5_CR17","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1109\/30.468094","volume":"41","author":"S Sakaue","year":"1995","unstructured":"Sakaue, S., Nakayama, M., Tamura, A., Maruno, S.: Adaptive gamma processing of the video cameras for the expansion of the dynamic range. IEEE Trans. Consum. Electron. 41(3), 555\u2013562 (1995)","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"2","key":"5_CR18","doi-asserted-by":"publisher","DOI":"10.1117\/1.3386681","volume":"19","author":"R Schettini","year":"2010","unstructured":"Schettini, R., Gasparini, F., Corchs, S., Marini, F., Capra, A., Castorina, A.: Contrast image correction method. J. Electron. Imaging 19(2), 023005 (2010)","journal-title":"J. Electron. Imaging"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Yang, W., Wang, S., Fang, Y., Wang, Y., Liu, J.: From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3063\u20133072 (2020)","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, L., Zhang, L., Liu, X., Shen, Y., Zhang, S., Zhao, S.: Zero-shot restoration of back-lit images using deep internal learning. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 1623\u20131631 (2019)","DOI":"10.1145\/3343031.3351069"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1007\/s11263-020-01407-x","volume":"129","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Guo, X., Ma, J., Liu, W., Zhang, J.: Beyond brightening low-light images. Int. J. Comput. Vision 129, 1013\u20131037 (2021)","journal-title":"Int. J. Comput. Vision"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, J., Guo, X.: Kindling the darkness: A practical low-light image enhancer. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 1632\u20131640 (2019)","DOI":"10.1145\/3343031.3350926"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Zini, S., Buzzelli, M., Bianco, S., Schettini, R.: A framework for contrast enhancement algorithms optimization. In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 1431\u20131435. IEEE (2022)","DOI":"10.1109\/ICIP46576.2022.9897184"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43148-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:34:44Z","timestamp":1710261284000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43148-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031431470","9783031431487"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43148-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","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":"85","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":"7","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":"59% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","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)"}}]}}