{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T09:45:04Z","timestamp":1792748704299,"version":"4.5.0"},"reference-count":38,"publisher":"Wiley","issue":"20","license":[{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20373"],"award-info":[{"award-number":["U23A20373"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nanophotonics"],"published-print":{"date-parts":[[2026,10,27]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Single\u2010frame fringe pattern analysis in digital holographic interferometry (DHI) is essential for precision phase measurement under dynamic conditions. Recent advances in deep learning within optical metrology are transforming the reconstruction paradigm from physics\u2010based modeling toward data\u2010driven learning. However, most existing neural networks either rely on learning statistical visual features without guidance from physical principles or fail to dynamically adjust inference parameters based on the input instance after training, thereby limiting the robustness and generalization capacity on unseen data. To this end, a novel adaptive spectrum filtering neural network (ASFNet) is proposed for phase measurement. ASFNet incorporates a physics\u2010aware spectral filtering block that dynamically adapts the inference process to each input instance, enabling robust and generalizable phase reconstruction under varying and unseen conditions\u2014moving beyond static, dataset\u2010specific statistical modeling toward instance\u2010aware adaptive reconstruction. Moreover, a forward model is constructed to generate realistic simulation data for network training, reducing the reliance on experimentally labeled data. Simulation results on 400 test samples demonstrate the superiority of ASFNet in terms of both pixel\u2010wise accuracy and visual quality. Experimental results further confirm its strong generalization capability on unseen data, achieving high reconstruction fidelity comparable to that of hand\u2010tuned, physics\u2010based methods.<\/jats:p>","DOI":"10.1002\/nap2.70282","type":"journal-article","created":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T05:30:18Z","timestamp":1792215018000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Adaptive Filtering in the Fourier Domain for Fringe Pattern Analysis: A New Reconstruction Paradigm in Digital Holographic Interferometry"],"prefix":"10.1002","volume":"15","author":[{"given":"Youxing","family":"Li","sequence":"first","affiliation":[{"name":"Key Lab of In\u2010Fiber Integrated Optics Ministry of Education of China Harbin Engineering University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingzhi","family":"Meng","sequence":"additional","affiliation":[{"name":"Zhejiang Huadong Optic\u2010Electronic Instrument Co., Ltd.  Jiaxing Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Lab of In\u2010Fiber Integrated Optics Ministry of Education of China Harbin Engineering University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Li","sequence":"additional","affiliation":[{"name":"Photonics Research Center, School of Optoelectronic Engineering Guilin University of Electronic Technology  Guilin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Lab of In\u2010Fiber Integrated Optics Ministry of Education of China Harbin Engineering University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaoqing","family":"Xie","sequence":"additional","affiliation":[{"name":"Photonics Research Center, School of Optoelectronic Engineering Guilin University of Electronic Technology  Guilin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2425-4553","authenticated-orcid":false,"given":"Libo","family":"Yuan","sequence":"additional","affiliation":[{"name":"Key Lab of In\u2010Fiber Integrated Optics Ministry of Education of China Harbin Engineering University  Harbin China"},{"name":"Photonics Research Center, School of Optoelectronic Engineering Guilin University of Electronic Technology  Guilin China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,16]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2024.3372212"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.37188\/lam.2021.023"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2018.02.017"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2008.218"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41566\u2010018\u20100253\u2010x"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2025.113642"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/lpor.202502417"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.37188\/lam.2022.010"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1063\/5.0274800"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1364\/oe.14.011598"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2018.04.019"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1364\/josa.72.000156"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1364\/ao.43.002695"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2005.10.012"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1364\/ao.57.010402"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2009.04.003"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1364\/ao.43.004993"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1364\/josaa.28.000983"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377\u2010024\u201001721\u2010w"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.APN.1.1.014001"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377\u2010022\u201000714\u2010x"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.ap.1.2.025001"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2021.106941"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.3390\/app9173529"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1364\/oe.410428"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1364\/oe.27.017091"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1364\/oe.418430"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.APN.2.3.036010"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.29026\/oea.2024.230034"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377\u2010020\u20100302\u20103"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/lpor.202501071"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/36.297989"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2009.06.049"},{"key":"e_1_2_9_35_1","first-page":"13","volume-title":"Proceedings of International Conference on Learning Representations (ICLR)","author":"Kingma D. 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