Publication: Learned holographic light transport: invited
dc.contributor.coauthor | Akşit, Kaan | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Kavaklı, Koray | |
dc.contributor.kuauthor | Ürey, Hakan | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | 8579 | |
dc.date.accessioned | 2024-11-09T13:14:47Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Computer-generated holography algorithms often fall short in matching simulations with results from a physical holographic display.Our work addresses this mismatch by learning the holographic light transport in holographic displays. Using a camera and a holographic display, we capture the image reconstructions of optimized holograms that rely on ideal simulations to generate a dataset. Inspired by the ideal simulations, we learn a complex-valued convolution kernel that can propagate given holograms to captured photographs in our dataset. Our method can dramatically improve simulation accuracy and image quality in holographic displays while paving the way for physically informed learning approaches. | |
dc.description.fulltext | YES | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 5 | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | N/A | |
dc.description.version | Author's final manuscript | |
dc.description.volume | 61 | |
dc.format | ||
dc.identifier.doi | 10.1364/AO.439401 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR03357 | |
dc.identifier.issn | 1559-128X | |
dc.identifier.link | https://doi.org/10.1364/AO.439401 | |
dc.identifier.quartile | Q3 | |
dc.identifier.scopus | 2-s2.0-85119437269 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/2987 | |
dc.identifier.wos | 753924400007 | |
dc.keywords | Angular spectrum method | |
dc.keywords | Phase calibration | |
dc.keywords | Propagation | |
dc.keywords | Simulation | |
dc.language | English | |
dc.publisher | The Optical Society (OSA) Publishing | |
dc.relation.grantno | NA | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10146 | |
dc.source | Applied Optics | |
dc.subject | Optics | |
dc.title | Learned holographic light transport: invited | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | N/A | |
local.contributor.authorid | 0000-0002-2031-7967 | |
local.contributor.kuauthor | Kavaklı, Koray | |
local.contributor.kuauthor | Ürey, Hakan | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
relation.isOrgUnitOfPublication | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 |
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