On Bayer demosaicing impact on image sharpness in lens quality assessment

Simple item page
but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorZemčík, Tomáš
dc.contributor.authorHorák, Karel
dc.date.accessioned2022-12-06T13:22:00Z
dc.date.available2022-12-06T13:22:00Z
dc.date.issued2022cs
dc.description.abstractIn this short paper an ongoing research is introduced into the methods of simple lens quality assessment for low-cost computer vision applications. Also the paradigm of colour filter arrays (CFA), CFA images and their demosaicing are described. Further the paper introduces an experiment to compare selected demosaicing algorithms and their influences on image sharpness, and therefore on the lens quality assessment. Of the selected methods the AHD (Adaptive Homogeneity-Directed) algorithm proved the most suitable for the lens evaluation.en
dc.formattextcs
dc.format.extent291-296cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 28st Conference STUDENT EEICT 2022: Selected papers. s. 291-296. ISBN 978-80-214-6030-0cs
dc.identifier.doi10.13164/eeict.2022.291
dc.identifier.isbn978-80-214-6030-0
dc.identifier.urihttp://hdl.handle.net/11012/208655
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 28st Conference STUDENT EEICT 2022: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectColour filter array, Bayer matrix, demosaicing, debayering, lens quality, MTFen
dc.titleOn Bayer demosaicing impact on image sharpness in lens quality assessmenten
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
291_eeict_2022.pdf
Size:
3.72 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2022: Selected Papers