Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115246
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorSong, Qen_US
dc.creatorLiu, Qen_US
dc.creatorChen, Wen_US
dc.date.accessioned2025-09-17T03:46:36Z-
dc.date.available2025-09-17T03:46:36Z-
dc.identifier.issn0146-9592en_US
dc.identifier.urihttp://hdl.handle.net/10397/115246-
dc.language.isoenen_US
dc.publisherOpticaen_US
dc.titleGhost imaging through abruptly changing complex scattering in dynamic mediaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3010en_US
dc.identifier.epage3013en_US
dc.identifier.volume50en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1364/OL.560753en_US
dcterms.abstractGhost imaging (GI) in harsh environments iswell recognized to be challenging, e.g., through abruptly changing complex scattering in dynamic media. Physically induced dynamic and nonlinear scaling factors make the collected single-pixel light intensities distorted, leading to a failure of ghost reconstruction. In this Letter, a new method, to the best of our knowledge, i.e., convolution-based polynomial estimation, is proposed to correct the realizations in GI through abruptly changing complex scattering in dynamic media. The method is developed to eliminate the severe mismatch between a series of illumination patterns and the realizations. Numerical simulations and optical experiments are conducted to show the high robustness and superiority of the proposed method, and high-resolution ghost reconstruction can always be achieved. It is illustrated that the influence of abruptly changing complex scattering in dynamic media is effectively suppressed in GI. The proposed method can offer a solution for GI to retrieve object information in harsh environments.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationOptics letters, 1 May 2025, v. 50, no. 9, p. 3010-3013en_US
dcterms.isPartOfOptics lettersen_US
dcterms.issued2025-05-01-
dc.identifier.scopus2-s2.0-105004481736-
dc.identifier.eissn1539-4794en_US
dc.description.validate202509 bcch-
dc.identifier.FolderNumbera4029-
dc.identifier.SubFormID51961-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Research Grants Council (15224921, 15223522, 15237924); GuangDong Basic and Applied Basic Research Foundation (2022A1515011858, 2025A1515011411); Hong Kong Polytechnic University (1-BD4Q, 1-WZ4M).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-05-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-05-01
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