{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T00:38:57Z","timestamp":1787791137158,"version":"build-2784847793"},"reference-count":23,"publisher":"Optica Publishing Group","issue":"16","license":[{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"am","delay-in-days":365,"URL":"https:\/\/doi.org\/10.1364\/OA_License_v1#AM"},{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"tdm","delay-in-days":365,"URL":"https:\/\/opg.optica.org\/policies\/opg-tdm-policy.json"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1652150"],"award-info":[{"award-number":["1652150"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EY029397"],"award-info":[{"award-number":["R01EY029397"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R35GM128761"],"award-info":[{"award-number":["R35GM128761"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["opg.optica.org"],"crossmark-restriction":false},"short-container-title":["Opt. Lett."],"published-print":{"date-parts":[[2020,8,15]]},"abstract":"<jats:p>Compressed ultrafast photography (CUP) is a computational optical imaging technique that can capture transient dynamics at an unprecedented speed. Currently, the image reconstruction of CUP relies on iterative algorithms, which are time-consuming and often yield nonoptimal image quality. To solve this problem, we develop a deep-learning-based method for CUP reconstruction that substantially improves the image quality and reconstruction speed. A key innovation toward efficient deep learning reconstruction of a large three-dimensional (3D) event datacube (<jats:inline-formula>\n      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n\t<mml:mi>x<\/mml:mi>\n\t<mml:mo>,<\/mml:mo>\n\t<mml:mi>y<\/mml:mi>\n\t<mml:mo>,<\/mml:mo>\n\t<mml:mrow class=\"MJX-TeXAtom-ORD\">\n\t  <mml:mi>t<\/mml:mi>\n\t<\/mml:mrow>\n      <\/mml:math>\n    <\/jats:inline-formula>) (<jats:inline-formula>\n      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n\t<mml:mi>x<\/mml:mi>\n\t<mml:mo>,<\/mml:mo>\n\t<mml:mi>y<\/mml:mi>\n      <\/mml:math>\n    <\/jats:inline-formula>, spatial coordinate; <jats:inline-formula>\n      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n\t<mml:mrow class=\"MJX-TeXAtom-ORD\">\n\t  <mml:mi>t<\/mml:mi>\n\t<\/mml:mrow>\n      <\/mml:math>\n    <\/jats:inline-formula>, time) is that we decompose the original datacube into massively parallel two-dimensional (2D) imaging subproblems, which are much simpler to solve by a deep neural network. We validated our approach on simulated and experimental data.<\/jats:p>","DOI":"10.1364\/ol.397717","type":"journal-article","created":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T13:09:22Z","timestamp":1593176962000},"page":"4400","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Deep-learning-based image reconstruction for compressed ultrafast photography"],"prefix":"10.1364","volume":"45","author":[{"given":"Yayao","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohua","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2020,8,4]]},"reference":[{"key":"ol-45-16-4400-R1","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1038\/nature14005","volume":"516","author":"Gao","year":"2014","journal-title":"Nature"},{"key":"ol-45-16-4400-R2","doi-asserted-by":"publisher","first-page":"e1601814","DOI":"10.1126\/sciadv.1601814","volume":"3","author":"Liang","year":"2017","journal-title":"Sci. Adv."},{"key":"ol-45-16-4400-R3","doi-asserted-by":"publisher","first-page":"15504","DOI":"10.1038\/srep15504","volume":"5","author":"Liang","year":"2015","journal-title":"Sci. Rep."},{"key":"ol-45-16-4400-R4","doi-asserted-by":"publisher","first-page":"2992","DOI":"10.1109\/TIP.2007.909319","volume":"16","author":"Bioucas-Dias","year":"2007","journal-title":"IEEE Trans. Image Process."},{"key":"ol-45-16-4400-R5","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1364\/OPTICA.3.000694","volume":"3","author":"Zhu","year":"2016","journal-title":"Optica"},{"key":"ol-45-16-4400-R6","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1364\/OPTICA.5.000147","volume":"5","author":"Yang","year":"2018","journal-title":"Optica"},{"key":"ol-45-16-4400-R7","doi-asserted-by":"publisher","first-page":"116202","DOI":"10.1088\/1612-202X\/aae198","volume":"15","author":"Yang","year":"2018","journal-title":"Laser Phys. Lett."},{"key":"ol-45-16-4400-R8","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ol-45-16-4400-R9","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1364\/OPTICA.6.000921","volume":"6","author":"Barbastathis","year":"2019","journal-title":"Optica"},{"key":"ol-45-16-4400-R10","doi-asserted-by":"publisher","first-page":"030801","DOI":"10.1063\/1.5140721","volume":"5","author":"Qiao","year":"2020","journal-title":"APL Photon."},{"key":"ol-45-16-4400-R11","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yuan","year":"2020"},{"key":"ol-45-16-4400-R12","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1364\/OPTICA.5.000458","volume":"5","author":"Nehme","year":"2018","journal-title":"Optica"},{"key":"ol-45-16-4400-R13","first-page":"234","volume-title":"Medical Image Computing and Computer-Assisted Intervention (MICCAI), series LNCS","volume":"9351","author":"Ronneberger","year":"2015"},{"key":"ol-45-16-4400-R14","doi-asserted-by":"publisher","first-page":"243902","DOI":"10.1103\/PhysRevLett.121.243902","volume":"121","author":"Goy","year":"2018","journal-title":"Phys. Rev. Lett."},{"key":"ol-45-16-4400-R15","doi-asserted-by":"publisher","first-page":"17865","DOI":"10.1038\/s41598-017-18171-7","volume":"7","author":"Lyu","year":"2017","journal-title":"Sci. Rep."},{"key":"ol-45-16-4400-R16","first-page":"2261","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"Huang","year":"2017"},{"key":"ol-45-16-4400-R17","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1364\/OPTICA.5.001181","volume":"5","author":"Li","year":"2018","journal-title":"Optica"},{"key":"ol-45-16-4400-R19","volume-title":"International Conference on Learning Representations (ICLR)","author":"Kingma","year":"2015"},{"key":"ol-45-16-4400-R20","doi-asserted-by":"publisher","first-page":"26470","DOI":"10.1364\/OE.26.026470","volume":"26","author":"Nguyen","year":"2018","journal-title":"Opt. Express"},{"key":"ol-45-16-4400-R21","volume-title":"IEEE\/SP 15th Workshop on Statistical Signal Processing","author":"Figueiredo","year":"2009"},{"key":"ol-45-16-4400-R22","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1137\/080716542","volume":"2","author":"Beck","year":"2009","journal-title":"SIAM J. Imaging Sci."},{"key":"ol-45-16-4400-R23","doi-asserted-by":"publisher","first-page":"2539","DOI":"10.1109\/ICIP.2016.7532817","volume-title":"IEEE International Conference on Image Processing (ICIP)","author":"Yuan","year":"2016"},{"key":"ol-45-16-4400-R24","doi-asserted-by":"publisher","first-page":"44544","DOI":"10.1109\/ACCESS.2019.2908720","volume":"7","author":"Guan","year":"2019","journal-title":"IEEE Access"}],"container-title":["Optics Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/opg.optica.org\/viewmedia.cfm?URI=ol-45-16-4400&am=y","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/opg.optica.org\/viewmedia.cfm?URI=ol-45-16-4400&seq=0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T19:26:05Z","timestamp":1722972365000},"score":1,"resource":{"primary":{"URL":"https:\/\/opg.optica.org\/abstract.cfm?URI=ol-45-16-4400"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,4]]},"references-count":23,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2020]]},"published-print":{"date-parts":[[2020]]}},"URL":"https:\/\/doi.org\/10.1364\/ol.397717","relation":{},"ISSN":["0146-9592","1539-4794"],"issn-type":[{"value":"0146-9592","type":"print"},{"value":"1539-4794","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,4]]},"assertion":[{"value":"Optica Publishing Group","name":"publisher","label":"This article is maintained by"},{"value":"https:\/\/doi.org\/10.1364\/OL.397717","name":"articlelink","label":"Crossref DOI link to publisher maintained version"},{"value":"letter","name":"content_type","label":"Article type"},{"value":"Screened by Similarity Check","name":"cross_check","label":"Similarity check"},{"value":"Yes","order":0,"name":"peer_reviewed","label":"Peer reviewed","group":{"name":"peer_review","label":"Peer review"}},{"value":"Single blind","order":1,"name":"review_process","label":"Review process","group":{"name":"peer_review","label":"Peer review"}},{"value":"15 May 2020","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"26 June 2020","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"4 August 2020","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}},{"value":"\u00a9 2020 Optical Society of America","name":"copyright","label":"Copyright"}]}}