{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T18:51:37Z","timestamp":1773946297132,"version":"3.50.1"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T00:00:00Z","timestamp":1611187200000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51775326"],"award-info":[{"award-number":["51775326"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Current development in a deep neural network (DNN) has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real\u2010time performance. There are many deep learning\u2010based techniques that have been proposed for the holographic image reconstruction, but these deep learning\u2010based methods can still lack in performance, time complexity, accuracy, and real\u2010time performance. Due to iterative calculation, the generation of a CGH requires a long computation time. A novel deep generative adversarial network holography (GAN\u2010Holo) framework is proposed for hologram reconstruction. This novel framework consists of two phases. In phase one, we used the Fresnel\u2010based method to make the dataset. In the second phase, we trained the raw input image and holographic label image data from phase one acquired images. Our method has the capability of the noniterative process of computer\u2010generated holograms (CGHs). The experimental results have demonstrated that the proposed method outperforms the existing methods.<\/jats:p>","DOI":"10.1155\/2021\/6662161","type":"journal-article","created":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T18:35:48Z","timestamp":1611254148000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["GAN\u2010Holo: Generative Adversarial Networks\u2010Based Generated Holography Using Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7430-1602","authenticated-orcid":false,"given":"Aamir","family":"Khan","sequence":"first","affiliation":[]},{"given":"Zhang","family":"Zhijiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9975-8484","authenticated-orcid":false,"given":"Yingjie","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3669-2080","authenticated-orcid":false,"given":"Muhammad Amir","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Ketao","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Khizar","family":"Aziz","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.562749"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAB.34.000B42"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1364\/ao.33.006879"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1364\/ao.35.006865"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1364\/ol.20.000752"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1364\/oe.16.007203"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073624"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/jdt.2010.2048302"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1364\/AO.48.000H48"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2007.01.003"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0030-4018(00)00990-1"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1364\/opex.14.000603"},{"key":"e_1_2_9_13_2","first-page":"2672","volume-title":"Proceedings of the Advances in Neural Information Processing System","author":"Goodfellow I.","year":"2014"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1364\/ao.57.003859"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.3390\/app8081258"},{"key":"e_1_2_9_16_2","doi-asserted-by":"crossref","unstructured":"LamH.andTsangP. 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Holographic vision system based on non-diffractive optical scanning holography and deep learning Proceedings of the Holography Diffractive Optics and Applications IX October 2019 Hangzhou China 111880F.","DOI":"10.1117\/12.2537764"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1364\/ao.393500"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1364\/brain.2020.btu2c.2"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00348-019-2818-y"},{"key":"e_1_2_9_23_2","doi-asserted-by":"crossref","unstructured":"ZhouW.-J. ZouS. Deng-Ke HuJ.-Lu ZhangH.-Bo YuY.-J. andPoonT.-C. Speckle noise reduction in digital holograms based on Spectral Convolutional Neural Networks (SCNN) Proceedings of the Holography Diffractive Optics and Applications IX December 2019 Hangzhou China 1118807.","DOI":"10.1117\/12.2537685"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1364\/ol.390810"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2018.12.058"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.3390\/app10114044"},{"key":"e_1_2_9_27_2","volume-title":"ESRGAN: Enhanced Super-resolution Generative Adversarial Networks","author":"Wang X.","year":"2019"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2902431"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/6662161.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/6662161.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/6662161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T22:43:45Z","timestamp":1723243425000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/6662161"}},"subtitle":[],"editor":[{"given":"Shafiq","family":"Ahmad","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/6662161"],"URL":"https:\/\/doi.org\/10.1155\/2021\/6662161","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2020-10-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-12-30","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-01-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"6662161"}}