{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:55:38Z","timestamp":1742982938993,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030505158"},{"type":"electronic","value":"9783030505165"}],"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\/978-3-030-50516-5_27","type":"book-chapter","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T17:04:00Z","timestamp":1592586240000},"page":"313-324","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Wavelet-Based Retinal Image Enhancement"],"prefix":"10.1007","author":[{"given":"Safinaz","family":"ElMahmoudy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lamiaa","family":"Abdel-Hamid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"El-Rafei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salwa","family":"El-Ramly","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,17]]},"reference":[{"key":"27_CR1","unstructured":"WHO: World Report on vision: executive summary (2019)"},{"issue":"9","key":"27_CR2","doi-asserted-by":"publisher","first-page":"096007","DOI":"10.1117\/1.JBO.21.9.096007","volume":"21","author":"L Abdel-Hamid","year":"2016","unstructured":"Abdel-Hamid, L., El-Rafei, A., El-Ramly, S., Michelson, G., Hornegger, J.: Retinal image quality assessment based on image clarity and content. J. Biomed. Opt. 21(9), 096007 (2016). \nhttps:\/\/doi.org\/10.1117\/1.JBO.21.9.096007","journal-title":"J. Biomed. Opt."},{"key":"27_CR3","unstructured":"Youssif, A.A., Ghalwash, A.Z., Ghoneim, A.S.: Comparative study of contrast enhancement and illumination equalization methods for retinal vasculature segmentation. In: Cairo International Biomedical Engineering Conference, pp. 1\u20135 (2006)"},{"key":"27_CR4","doi-asserted-by":"publisher","unstructured":"Yao, Z., Zhang, Z., Xu, L.Q., Fan, Q., Xu, L.: Generic features for fundus image quality evaluation. In: IEEE 18th International Conference e-Health Networking, Applications and Services (Healthcom), pp. 1\u20136 (2016). \nhttps:\/\/doi.org\/10.1109\/HealthCom.2016.7749522","DOI":"10.1109\/HealthCom.2016.7749522"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Yu, H., Agurto, C., Barriga, S., Nemeth, S.C., Soliz, P., Zamora, G.: Automated image quality evaluation of retinal fundus photographs in diabetic retinopathy screening. In: IEEE Southwest Symposium on Image Analysis Interpretation, pp. 125\u2013128 (2012)","DOI":"10.1109\/SSIAI.2012.6202469"},{"key":"27_CR6","doi-asserted-by":"publisher","unstructured":"Setiawan, A.W., Mengko, T.R., Santoso, O.S., Suksmono, A.B.: Color retinal image enhancement using CLAHE. In: International Conference on ICT for Smart Society ICISS, pp. 215\u2013217 (2013). \nhttps:\/\/doi.org\/10.1109\/ICTSS.2013.6588092","DOI":"10.1109\/ICTSS.2013.6588092"},{"key":"27_CR7","doi-asserted-by":"publisher","unstructured":"Ramasubramanian, B., Selvaperumal, S.: A comprehensive review on various preprocessing methods in detecting diabetic retinopathy. In: International Conference on Communication Signal Processing ICCSP, pp. 642\u2013646 (2016). \nhttps:\/\/doi.org\/10.1109\/ICCSP.2016.7754220","DOI":"10.1109\/ICCSP.2016.7754220"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Jintasuttisak, T., Intajag, S.: Color retinal image enhancement by Rayleigh contrast-limited adaptive histogram equalization. In: IEEE 14th International Conference on Control Automation and Systems (ICCAS), pp. 692\u2013697 (2014)","DOI":"10.1109\/ICCAS.2014.6987868"},{"issue":"3","key":"27_CR9","doi-asserted-by":"publisher","first-page":"e320","DOI":"10.1111\/aos.13573","volume":"96","author":"K Jin","year":"2018","unstructured":"Jin, K., et al.: Computer-aided diagnosis based on enhancement of degraded fundus photographs. Acta Ophthalmol. 96(3), e320\u2013e326 (2018). \nhttps:\/\/doi.org\/10.1111\/aos.13573","journal-title":"Acta Ophthalmol."},{"issue":"3","key":"27_CR10","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1109\/TBME.2017.2700627","volume":"65","author":"M Zhou","year":"2018","unstructured":"Zhou, M., Jin, K., Wang, S., Ye, J., Qian, D.: Color retinal image enhancement based on luminosity and contrast adjustment. IEEE Trans. Biomed. Eng. 65(3), 521\u2013527 (2018). \nhttps:\/\/doi.org\/10.1109\/TBME.2017.2700627","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"27_CR11","doi-asserted-by":"publisher","unstructured":"Sonali, Sahu, S., Singh, A.K., Ghrera, S.P., Elhoseny, M.: An approach for de-noising and contrast enhancement of retinal fundus image using CLAHE. Opt. Laser Technol. 110(3), 87\u201398 (2019). \nhttps:\/\/doi.org\/10.1016\/j.optlastec.2018.06.061","DOI":"10.1016\/j.optlastec.2018.06.061"},{"key":"27_CR12","doi-asserted-by":"publisher","unstructured":"Ninassi, A., Le Meur, O., Le Callet, P., Barba, D.: On the performance of human visual system based image quality assessment metric using wavelet domain. In: SPIE Human Vision Electronic Imaging XIII, vol. 6806, pp. 680610\u2013680611 (2008). \nhttps:\/\/doi.org\/10.1117\/12.766536","DOI":"10.1117\/12.766536"},{"issue":"4","key":"27_CR13","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1007\/s11760-018-1401-y","volume":"13","author":"G Palanisamy","year":"2019","unstructured":"Palanisamy, G., Ponnusamy, P., Gopi, V.P.: An improved luminosity and contrast enhancement framework for feature preservation in color fundus images. Signal Image Video Process. 13(4), 719\u2013726 (2019). \nhttps:\/\/doi.org\/10.1007\/s11760-018-1401-y","journal-title":"Signal Image Video Process."},{"issue":"3","key":"27_CR14","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s40745-016-0079-7","volume":"3","author":"TA Soomro","year":"2016","unstructured":"Soomro, T.A., Gao, J.: Non-invasive contrast normalisation and denosing technique for the retinal fundus image. Ann. Data Sci. 3(3), 265\u2013279 (2016). \nhttps:\/\/doi.org\/10.1007\/s40745-016-0079-7","journal-title":"Ann. Data Sci."},{"key":"27_CR15","doi-asserted-by":"publisher","unstructured":"Soomro, T.A., Gao, J., Khan, M.A.U., Khan, T.M., Paul, M.: Role of image contrast enhancement technique for ophthalmologist as diagnostic tool for diabetic retinopathy. In: International Conference on Digital Image Computing: Technical Applications DICTA, pp. 1\u20138 (2016). \nhttps:\/\/doi.org\/10.1109\/DICTA.2016.7797078","DOI":"10.1109\/DICTA.2016.7797078"},{"key":"27_CR16","doi-asserted-by":"publisher","first-page":"47303","DOI":"10.1109\/ACCESS.2019.2909788","volume":"7","author":"D Li","year":"2019","unstructured":"Li, D., Zhang, L., Sun, C., Yin, T., Liu, C., Yang, J.: Robust retinal image enhancement via dual-tree complex wavelet transform and morphology-based method. IEEE Access 7, 47303\u201347316 (2019). \nhttps:\/\/doi.org\/10.1109\/ACCESS.2019.2909788","journal-title":"IEEE Access"},{"issue":"12","key":"27_CR17","doi-asserted-by":"publisher","first-page":"5029","DOI":"10.1016\/j.ijleo.2016.02.042","volume":"127","author":"DM Li","year":"2016","unstructured":"Li, D.M., Zhang, L.J., Yang, J.H., Su, W.: Research on wavelet-based contourlet transform algorithm for adaptive optics image denoising. Optik (Stuttg) 127(12), 5029\u20135034 (2016). \nhttps:\/\/doi.org\/10.1016\/j.ijleo.2016.02.042","journal-title":"Optik (Stuttg)"},{"issue":"10","key":"27_CR18","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1049\/iet-ipr.2015.0150","volume":"9","author":"H Lidong","year":"2015","unstructured":"Lidong, H., Wei, Z., Jun, W., Zebin, S.: Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement. IET Image Process. 9(10), 908\u2013915 (2015). \nhttps:\/\/doi.org\/10.1049\/iet-ipr.2015.0150","journal-title":"IET Image Process."},{"key":"27_CR19","series-title":"Topics in Biomedical Engineering International Book Series","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/0-306-48606-7_7","volume-title":"Handbook of Biomedical Image Analysis","author":"T Walter","year":"2007","unstructured":"Walter, T., Klein, J.C.: Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy. In: Suri, J.S., Wilson, D.L., Laxminarayan, S. (eds.) Handbook of Biomedical Image Analysis. ITBE, pp. 315\u2013368. Springer, Boston (2007). \nhttps:\/\/doi.org\/10.1007\/0-306-48606-7_7"},{"key":"27_CR20","unstructured":"Stefanou, H., Kakouros, S., Cavouras, D., Wallace, M.: Wavelet-based mammographic enhancement. In: 5th International Networking Conference INC, pp. 553\u2013560 (2005)"},{"issue":"1","key":"27_CR21","doi-asserted-by":"publisher","first-page":"191","DOI":"10.3901\/JME.2006.01.191","volume":"42","author":"C Jia","year":"2006","unstructured":"Jia, C., Nie, S., Zhai, Y., Sun, Y.: Edge detection based on scale multiplication in wavelet domain. Jixie Gongcheng Xuebao\/Chin. J. Mech. Eng. 42(1), 191\u2013195 (2006). \nhttps:\/\/doi.org\/10.3901\/JME.2006.01.191","journal-title":"Jixie Gongcheng Xuebao\/Chin. J. Mech. Eng."},{"issue":"2","key":"27_CR22","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1109\/18.119727","volume":"38","author":"S Mallat","year":"1992","unstructured":"Mallat, S., Hwang, W.L.: Singularity detection and processing with wavelets. IEEE Trans. Info. Theory 38(2), 617\u2013643 (1992). \nhttps:\/\/doi.org\/10.1109\/18.119727","journal-title":"IEEE Trans. Info. Theory"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Abdel Hamid, L.S., El-Rafei, A., El-Ramly, S., Michelson, G., Hornegger, J.: No-reference wavelet based retinal image quality assessment. In: 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing VipIMAGE, pp. 123\u2013130 (2016)","DOI":"10.1201\/b19241-22"},{"issue":"5","key":"27_CR24","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1007\/s11760-012-0290-8","volume":"7","author":"SR Nirmala","year":"2010","unstructured":"Nirmala, S.R., Dandapat, S., Bora, P.K.: Wavelet weighted distortion measure for retinal images. Signal Image Video Process. 7(5), 1005\u20131014 (2010). \nhttps:\/\/doi.org\/10.1007\/s11760-012-0290-8","journal-title":"Signal Image Video Process."},{"key":"27_CR25","doi-asserted-by":"publisher","unstructured":"K\u00f6hler, T., Budai, A., Kraus, M.F., Odstr\u010dilik, J., Michelson, G., Hornegger, J.: Automatic no-reference quality assessment for retinal fundus images using vessel segmentation. In: Proceedings of the IEEE 26th Symposium Computer-Based Medical Systems CBMS, pp. 95\u2013100 (2013). \nhttps:\/\/doi.org\/10.1109\/CBMS.2013.6627771","DOI":"10.1109\/CBMS.2013.6627771"},{"key":"27_CR26","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5075612","author":"P Dai","year":"2016","unstructured":"Dai, P., Sheng, H., Zhang, J., Li, L., Wu, J., Fan, M.: Retinal fundus image enhancement using the normalized convolution and noise removing. Int. J. Biomed. Imaging (2016). \nhttps:\/\/doi.org\/10.1155\/2016\/5075612","journal-title":"Int. J. Biomed. Imaging"},{"key":"27_CR27","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.compbiomed.2017.09.012","volume":"90","author":"L Abdel-Hamid","year":"2017","unstructured":"Abdel-Hamid, L., El-Rafei, A., Michelson, G.: No-reference quality index for color retinal images. Comput. Biol. Med. 90, 68\u201375 (2017). \nhttps:\/\/doi.org\/10.1016\/j.compbiomed.2017.09.012","journal-title":"Comput. Biol. Med."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50516-5_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T17:16:15Z","timestamp":1592586975000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50516-5_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030505158","9783030505165"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50516-5_27","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":"17 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"P\u00f3voa de Varzim","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciar2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aimiconf.org\/iciar20\/","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"123","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":"54","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":"15","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":"44% - 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":"2,9","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":"3,8","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":"Due to the corona pandemic, ICIAR 2020 will be held virtually only.","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)"}}]}}