Publication:
Adaptive Digital Hologram Binarization Method Based on Local Thresholding, Block Division and Error Diffusion

Простая страница элемента
dc.contributor.authorCheremkhin, P. A.
dc.contributor.authorKurbatova, E. A.
dc.contributor.authorEvtikhiev, N. N.
dc.contributor.authorKrasnov, V. V.
dc.contributor.authorRodin, V. G.
dc.contributor.authorStarikov, R. S.
dc.contributor.authorЧерёмхин, Павел Аркадьевич
dc.contributor.authorЕвтихиев, Николай Николаевич
dc.contributor.authorРодин, Владислав Геннадьевич
dc.contributor.authorСтариков, Ростислав Сергеевич
dc.date.accessioned2024-12-26T08:16:44Z
dc.date.available2024-12-26T08:16:44Z
dc.date.issued2022
dc.description.abstract© 2022 by the authors. Licensee MDPI, Basel, Switzerland.High-speed optical reconstruction of 3D-scenes can be achieved using digital holography with binary digital micromirror devices (DMD) or a ferroelectric spatial light modulator (fSLM). There are many algorithms for binarizing digital holograms. The most common are methods based on global and local thresholding and error diffusion techniques. In addition, hologram binarization is used in optical encryption, data compression, beam shaping, 3D-displays, nanofabrication, materials characterization, etc. This paper proposes an adaptive binarization method based on a combination of local threshold processing, hologram division into blocks, and error diffusion procedure (the LDE method). The method is applied for binarization of optically recorded and computer-generated digital holograms of flat objects and three-dimensional scenes. The quality of reconstructed images was compared with different methods of error diffusion and thresholding. Image reconstruction quality was up to 22% higher by various metrics than that one for standard binarization methods. The optical hologram reconstruction using DMD confirms the results of the numerical simulations.
dc.identifier.citationAdaptive Digital Hologram Binarization Method Based on Local Thresholding, Block Division and Error Diffusion / Cheremkhin, P.A. [et al.] // Journal of Imaging. - 2022. - 8. - № 2. - 10.3390/jimaging8020015
dc.identifier.doi10.3390/jimaging8020015
dc.identifier.urihttps://www.doi.org/10.3390/jimaging8020015
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85123890976&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000763460800001
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28719
dc.relation.ispartofJournal of Imaging
dc.titleAdaptive Digital Hologram Binarization Method Based on Local Thresholding, Block Division and Error Diffusion
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume8
relation.isAuthorOfPublication3629518d-019a-4903-b7eb-e6efa64b68a2
relation.isAuthorOfPublication2257a3c7-c8e8-4e34-85b5-8c32072e3420
relation.isAuthorOfPublication2c4f808d-6db4-4e1b-924c-c26d5dca5fbd
relation.isAuthorOfPublication7d5a6b90-8339-46f6-9925-68106b7b5667
relation.isAuthorOfPublication.latestForDiscovery3629518d-019a-4903-b7eb-e6efa64b68a2
relation.isOrgUnitOfPublicationdcdb137c-0528-46a5-841b-780227a67cce
relation.isOrgUnitOfPublication.latestForDiscoverydcdb137c-0528-46a5-841b-780227a67cce
Файлы
Коллекции
Публикации