{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T16:20:59Z","timestamp":1776529259589,"version":"3.51.2"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030804312","type":"print"},{"value":"9783030804329","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-80432-9_24","type":"book-chapter","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T23:08:25Z","timestamp":1625526505000},"page":"307-321","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion"],"prefix":"10.1007","author":[{"given":"Songlin","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clifford","family":"Lindsay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanuel","family":"Agu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peder","family":"Pedersen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bengisu","family":"Tulu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diane","family":"Strong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,6]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.annepidem.2018.10.005","volume":"29","author":"L Martinengo","year":"2019","unstructured":"Martinengo, L., et al.: Prevalence of chronic wounds in the general population: systematic review and meta-analysis of observational studies. Ann. Epidemiol. 29, 8\u201315 (2019)","journal-title":"Ann. Epidemiol."},{"issue":"3","key":"24_CR2","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1111\/dth.12051","volume":"26","author":"NA Richmond","year":"2013","unstructured":"Richmond, N.A., Maderal, A.D., Vivas, A.C.: Evidence-based management of common chronic lower extremity ulcers. Dermatol. Ther. 26(3), 187\u2013196 (2013)","journal-title":"Dermatol. Ther."},{"issue":"2","key":"24_CR3","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TBME.2014.2358632","volume":"62","author":"L Wang","year":"2014","unstructured":"Wang, L., Pedersen, P.C., Strong, D.M., Tulu, B., Agu, E., Ignotz, R.: Smartphone-based wound assessment system for patients with diabetes. IEEE Trans. Biomed. Eng. 62(2), 477\u2013488 (2014)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Kuang, B., et al.: Assessment of a smartphone-based application for diabetic foot ulcer measurement. Wound Repair and Regeneration (2021)","DOI":"10.1111\/wrr.12905"},{"key":"24_CR5","first-page":"03","volume":"2016","author":"L Wang","year":"2016","unstructured":"Wang, L.: System designs for diabetic foot ulcer image assessment. System 2016, 03\u201307 (2016)","journal-title":"System"},{"issue":"1","key":"24_CR6","first-page":"1","volume":"1","author":"K Myszkowski","year":"2008","unstructured":"Myszkowski, K., Mantiuk, R., Krawczyk, G.: High dynamic range video. Syn. Lect. Comput. Graph. Anim. 1(1), 1\u2013158 (2008)","journal-title":"Syn. Lect. Comput. Graph. Anim."},{"key":"24_CR7","volume-title":"High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting","author":"E Reinhard","year":"2010","unstructured":"Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann, Burlington (2010)"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Debevec, P.E., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: ACM SIGGRAPH 2008 Classes, pp. 1\u201310 (2008)","DOI":"10.1145\/1401132.1401174"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Licciardo, G.D., Cappetta, C., Di Benedetto, L.: Dynamic range enhancement for medical image processing. In: 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), pp. 219\u2013223. IEEE (2017)","DOI":"10.1109\/IWASI.2017.7974255"},{"issue":"6","key":"24_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3130800.3130816","volume":"36","author":"G Eilertsen","year":"2017","unstructured":"Eilertsen, G., Kronander, J., Denes, G., Mantiuk, R.K., Unger, J.: HDR image reconstruction from a single exposure using deep CNNs. ACM Trans. Graph. (TOG) 36(6), 1\u201315 (2017)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Marnerides, D., Bashford-Rogers, T., Hatchett, J., Debattista, K.: Expandnet: a deep convolutional neural network for high dynamic range expansion from low dynamic range content. In: Computer Graphics Forum, vol. 37, no. 2, pp. 37\u201349. Wiley Online Library (2018)","DOI":"10.1111\/cgf.13340"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Y.-L. Liu, et al.: Single-image HDR reconstruction by learning to reverse the camera pipeline. In: Proceedings IEEE CVPR, pp. 1651\u20131660 (2020)","DOI":"10.1109\/CVPR42600.2020.00172"},{"issue":"6","key":"24_CR13","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1145\/3130800.3130834","volume":"36","author":"Y Endo","year":"2017","unstructured":"Endo, Y., Kanamori, Y., Mitani, J.: Deep reverse tone mapping. ACM Trans. Graph. 36(6), 177\u2013181 (2017)","journal-title":"ACM Trans. Graph."},{"key":"24_CR14","unstructured":"Bachoo, A.K.: Real-time exposure fusion on a mobile computer (2009)"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Kim, J.H., Lee, S., Jo, S., Kang, S.-J.: End-to-end differentiable learning to HDR image synth. for multi-exposure images. arXiv preprint arXiv:2006.15833 (2020)","DOI":"10.1609\/aaai.v35i2.16272"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the CVPR, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Mertens, T., Kautz, J., Van Reeth, F.: Exposure fusion: a simple and practical alternative to high dynamic range photography. Comput. Graph. Forum 28(1), 161\u2013171 (2009). Wiley Online Library","DOI":"10.1111\/j.1467-8659.2008.01171.x"},{"issue":"1","key":"24_CR18","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1109\/TIP.2011.2157514","volume":"21","author":"M Song","year":"2011","unstructured":"Song, M., Tao, D., Chen, C., Bu, J., Luo, J., Zhang, C.: Probabilistic exposure fusion. IEEE Trans. Image Process. 21(1), 341\u2013357 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR19","doi-asserted-by":"publisher","first-page":"116388","DOI":"10.1016\/j.neuroimage.2019.116388","volume":"208","author":"H Li","year":"2020","unstructured":"Li, H., et al.: Denoising scanner effects from multimodal MRI data using linked independent component analysis. Neuroimage 208, 116388 (2020)","journal-title":"Neuroimage"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Vonikakis, V., Bouzos, O., Andreadis, I.: Multi-exposure image fusion based on illumination estimation. In: Proceedings of IASTED SIPA, pp. 135\u2013142 (2011)","DOI":"10.2316\/P.2011.738-051"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Banterle, F., Ledda, P., Debattista, K., Chalmers, A.: Inverse tone mapping. In: Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, pp. 349\u2013356 (2006)","DOI":"10.1145\/1174429.1174489"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Grossberg, M.D., Nayar, S.K.: What is the space of camera response functions? In: Proceedings of IEEE CVPR, vol. 2, pp. II-602. IEEE (2003)","DOI":"10.1109\/CVPR.2003.1211522"},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, J., Lalonde, J.-F.: Learning high dynamic range from outdoor panoramas. In: Proceedings IEEE International Conference on Computer Vision, pp. 4519\u20134528 (2017)","DOI":"10.1109\/ICCV.2017.484"},{"issue":"4","key":"24_CR24","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1145\/3072959.3073609","volume":"36","author":"NK Kalantari","year":"2017","unstructured":"Kalantari, N.K., Ramamoorthi, R.: Deep high dynamic range imaging of dynamic scenes. ACM Trans. Graph. 36(4), 144\u2013151 (2017)","journal-title":"ACM Trans. Graph."},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Banterle, F., Ledda, P., Debattista, K., Bloj, M., Artusi, A., Chalmers, A.: A psychophysical evaluation of inverse tone mapping techniques. In: Computer Graphics Forum, vol. 28, no. 1, pp. 13\u201325 (2009). Wiley Online Library","DOI":"10.1111\/j.1467-8659.2008.01176.x"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Kovaleski, R.P., Oliveira, M.M.: High-quality reverse tone mapping for a wide range of exposures. In: Proceedings of SIBGRAPI, pp. 49\u201356. IEEE (2014)","DOI":"10.1109\/SIBGRAPI.2014.29"},{"key":"24_CR27","unstructured":"Wei, C., Wang, W., Yang, W., Liu, J.: Deep retinex decomposition for low-light enhancement. arXiv preprint arXiv:1808.04560 (2018)"},{"key":"24_CR28","doi-asserted-by":"crossref","unstructured":"Khunteta, A., Ghosh, D., et al.: Fuzzy rule-based image exposure level estimation and adaptive gamma correction for contrast enhancement in dark images. In: IEEE International Conference on Signal Processing, vol. 1, pp. 667\u2013672. IEEE (2012)","DOI":"10.1109\/ICoSP.2012.6491576"},{"key":"24_CR29","unstructured":"Iyer, A.B.: Let there be light...characterizing the effects of adverse lighting on semantic segmentation of wound images and mitigation using a deep retinex model. Masters thesis, Worcester Polytechnic Institute (2020)"},{"key":"24_CR30","unstructured":"Vinnie venous insufficiency leg model. https:\/\/vatainc.com\/product\/vinnie-venous-insufficiency-leg-model. Accessed 10 May 2021"},{"issue":"4","key":"24_CR31","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR32","doi-asserted-by":"crossref","unstructured":"Hore, A., Ziou, D.: Image quality metrics: PSNR vs. SSIM. In: 2010 20th International Conference on Pattern Recognition, pp. 2366\u20132369. IEEE (2010)","DOI":"10.1109\/ICPR.2010.579"},{"issue":"3","key":"24_CR33","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"}],"container-title":["Lecture Notes in Computer Science","Medical Image Understanding and Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80432-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T11:09:37Z","timestamp":1725361777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80432-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030804312","9783030804329"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80432-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIUA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference on Medical Image Understanding and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oxford","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miua2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miua2021.com\/","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":"77","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":"32","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":"8","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":"42% - 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":"3,8","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":"3,3","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)"}}]}}