{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:25:15Z","timestamp":1742916315072,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031500688"},{"type":"electronic","value":"9783031500695"}],"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\/978-3-031-50069-5_29","type":"book-chapter","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T06:02:34Z","timestamp":1705644154000},"page":"348-361","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Infrared Image Enhancement for\u00a0Photovoltaic Panels Based on\u00a0Improved Homomorphic Filtering and\u00a0CLAHE"],"prefix":"10.1007","author":[{"given":"Wanchang","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongdong","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,20]]},"reference":[{"issue":"4","key":"29_CR1","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.3390\/app11041835","volume":"11","author":"KC Liao","year":"2021","unstructured":"Liao, K.C., Lu, J.H.: Using UAV to detect solar module fault conditions of a solar power farm with IR and visual image analysis. Appl. Sci. 11(4), 1835 (2021)","journal-title":"Appl. Sci."},{"key":"29_CR2","first-page":"980","volume":"34","author":"Y Rao","year":"2021","unstructured":"Rao, Y., Zhao, W., Zhu, Z., et al.: Global filter networks for image classification. Adv. Neural. Inf. Process. Syst. 34, 980\u2013993 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"29_CR3","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1007\/s11831-020-09425-1","volume":"28","author":"KG Dhal","year":"2021","unstructured":"Dhal, K.G., Das, A., Ray, S., et al.: Histogram equalization variants as optimization problems: a review. Arch. Comput. Methods Eng. 28, 1471\u20131496 (2021)","journal-title":"Arch. Comput. Methods Eng."},{"key":"29_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2021.166273","volume":"230","author":"UK Acharya","year":"2021","unstructured":"Acharya, U.K., Kumar, S.: Genetic algorithm based adaptive histogram equalization (GAAHE) technique for medical image enhancement. Optik 230, 166273 (2021)","journal-title":"Optik"},{"issue":"10","key":"29_CR5","doi-asserted-by":"publisher","first-page":"15067","DOI":"10.1007\/s11042-020-10426-2","volume":"80","author":"G Ulutas","year":"2021","unstructured":"Ulutas, G., Ustubioglu, B.: Underwater image enhancement using contrast limited adaptive histogram equalization and layered difference representation. Multimedia Tools Appl. 80(10), 15067\u201315091 (2021). https:\/\/doi.org\/10.1007\/s11042-020-10426-2","journal-title":"Multimedia Tools Appl."},{"issue":"13","key":"29_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12517-021-07551-z","volume":"14","author":"R Pullagura","year":"2021","unstructured":"Pullagura, R., Valasani, U.S., Kesari, P.P.: Hybrid wavelet-based aerial image enhancement using georectification and homomorphic filtering. Arab. J. Geosci. 14(13), 1\u201313 (2021). https:\/\/doi.org\/10.1007\/s12517-021-07551-z","journal-title":"Arab. J. Geosci."},{"issue":"1","key":"29_CR7","first-page":"138","volume":"32","author":"XH Feng","year":"2020","unstructured":"Feng, X.H.: An improved homomorphic filtering image enhancement algorithm. J. Chongqing Univ. Posts Telecommun. Nat. Sci. Ed. 32(1), 138\u2013145 (2020)","journal-title":"J. Chongqing Univ. Posts Telecommun. Nat. Sci. Ed."},{"issue":"10","key":"29_CR8","first-page":"63","volume":"60","author":"K Zhang","year":"2023","unstructured":"Zhang, K., Liao, Y.R., Luo, Y.L., et al.: Infrared image enhancement algorithm based on improved homomorphic filtering. Laser Optoelectron. Progress. 60(10), 63\u201369 (2023)","journal-title":"Laser Optoelectron. Progress."},{"key":"29_CR9","first-page":"1","volume":"2021","author":"W Fan","year":"2021","unstructured":"Fan, W., Huo, Y., Li, X.: Degraded image enhancement using dual-domain-adaptive wavelet and improved fuzzy transform. Math. Probl. Eng. 2021, 1\u201312 (2021)","journal-title":"Math. Probl. Eng."},{"key":"29_CR10","doi-asserted-by":"publisher","first-page":"5793","DOI":"10.1007\/s00521-020-05358-9","volume":"33","author":"B Ma","year":"2021","unstructured":"Ma, B., Zhu, Y., Yin, X., et al.: Sesf-fuse: an unsupervised deep model for multi-focus image fusion. Neural Comput. Appl. 33, 5793\u20135804 (2021)","journal-title":"Neural Comput. Appl."},{"key":"29_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108867","volume":"131","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Jiang, Z., Liu, C., et al.: Shedding light on images: multi-level image brightness enhancement guided by arbitrary references. Pattern Recogn. 131, 108867 (2022)","journal-title":"Pattern Recogn."},{"issue":"9\u201311","key":"29_CR12","first-page":"2855","volume":"37","author":"LL Ying","year":"2021","unstructured":"Ying, L.L., Shu, T.J., Ye, Z., et al.: Unsupervised face super-resolution via gradient enhancement and semantic guidance. Vis. Comput. 37(9\u201311), 2855\u20132867 (2021)","journal-title":"Vis. Comput."},{"key":"29_CR13","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/978-981-15-4992-2_57","volume-title":"Proceedings of International Conference on Artificial Intelligence and Applications","author":"UK Acharya","year":"2021","unstructured":"Acharya, U.K., Kumar, S.: Image enhancement using exposure and standard deviation-based sub-image histogram equalization for night-time images. In: Bansal, P., Tushir, M., Balas, V.E., Srivastava, R. (eds.) Proceedings of International Conference on Artificial Intelligence and Applications. AISC, vol. 1164, pp. 607\u2013615. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-4992-2_57"},{"key":"29_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2021.103149","volume":"117","author":"F Yan","year":"2021","unstructured":"Yan, F., Zhao, S., Venegas-Andraca, S.E., et al.: Implementing bilinear interpolation with quantum images. Digital Signal Process. 117, 103149 (2021)","journal-title":"Digital Signal Process."},{"key":"29_CR15","first-page":"1147","volume":"5","author":"H Ye","year":"2021","unstructured":"Ye, H., Su, K., Huang, S.: Image enhancement method based on bilinear interpolating and wavelet transform. Electron. Autom. Control Conf. 5, 1147\u20131150 (2021)","journal-title":"Electron. Autom. Control Conf."},{"issue":"1","key":"29_CR16","first-page":"187","volume":"238","author":"W Xu","year":"2020","unstructured":"Xu, W., Zhang, K.J.: Research on indentification of PV module strings based on image processing. Inf. Technol. Inform. 238(1), 187\u2013190 (2020)","journal-title":"Inf. Technol. Inform."},{"issue":"12","key":"29_CR17","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.3390\/e22121417","volume":"22","author":"YM Omar","year":"2020","unstructured":"Omar, Y.M., Plapper, P.: A survey of information entropy metrics for complex networks. Entropy 22(12), 1417 (2020)","journal-title":"Entropy"},{"issue":"1","key":"29_CR18","doi-asserted-by":"publisher","first-page":"131","DOI":"10.3348\/kjr.2020.0116","volume":"22","author":"JH Kim","year":"2021","unstructured":"Kim, J.H., Yoon, H.J., Lee, E., et al.: Validation of deep-learning image reconstruction for low-dose chest computed tomography scan: emphasis on image quality and noise. Korean J. Radiol. 22(1), 131 (2021)","journal-title":"Korean J. Radiol."},{"issue":"6","key":"29_CR19","doi-asserted-by":"publisher","first-page":"8423","DOI":"10.1007\/s11042-020-10035-z","volume":"80","author":"DRIM Setiadi","year":"2021","unstructured":"Setiadi, D.R.I.M.: PSNR vs SSIM: imperceptibility quality assessment for image steganography. Multimedia Tools Appl. 80(6), 8423\u20138444 (2021)","journal-title":"Multimedia Tools Appl."},{"key":"29_CR20","doi-asserted-by":"publisher","first-page":"2855","DOI":"10.1007\/s00371-021-02236-w","volume":"37","author":"L Li","year":"2021","unstructured":"Li, L., Tang, J., Ye, Z., et al.: Unsupervised face super-resolution via gradient enhancement and semantic guidance. Vis. Comput. 37, 2855\u20132867 (2021)","journal-title":"Vis. Comput."},{"issue":"1","key":"29_CR21","first-page":"129","volume":"50","author":"YL Zhang","year":"2023","unstructured":"Zhang, Y.L., Li, W.Y., Li, C.L., et al.: Method for enhancement of the multi-scale low-light image by combining an attention guidance. J. Xidian Univ. 50(1), 129\u2013136 (2023)","journal-title":"J. Xidian Univ."},{"issue":"7","key":"29_CR22","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1016\/j.spinee.2021.02.007","volume":"21","author":"Z DeVries","year":"2021","unstructured":"DeVries, Z., Locke, E., Hoda, M., et al.: Using a national surgical database to predict complications following posterior lumbar surgery and comparing the area under the curve and F1-score for the assessment of prognostic capability. Spine J. 21(7), 1135\u20131142 (2021)","journal-title":"Spine J."},{"issue":"3","key":"29_CR23","doi-asserted-by":"publisher","first-page":"547","DOI":"10.3390\/rs12030547","volume":"12","author":"AE Maxwell","year":"2020","unstructured":"Maxwell, A.E., Pourmohammadi, P., Poyner, J.D.: Mapping the topographic features of mining-related valley fills using mask R-CNN deep learning and digital elevation data. Remote Sens. 12(3), 547 (2020)","journal-title":"Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50069-5_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T06:08:07Z","timestamp":1705644487000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50069-5_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031500688","9783031500695"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50069-5_29","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":"20 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2023","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"385","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":"149","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":"39% - 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)"}}]}}