Raspberry Pi AWB determination methods and their statistical analyses

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMiikki, Kim
dc.contributor.departmentKemian laitosfi
dc.contributor.departmentDepartment of Chemistryen
dc.contributor.schoolKemian tekniikan korkeakoulufi
dc.contributor.schoolSchool of Chemical Technologyen
dc.date.accessioned2023-09-21T09:00:06Z
dc.date.available2023-09-21T09:00:06Z
dc.date.issued2023
dc.description.abstractThe determination of a correct auto white balance (AWB) parameters in photography are essential for good color reproducibility and invariance in the same lightning conditions. The easiest way to determine AWB gains is to read the camera's AWB gain values. However, this paper demonstrates that the gray card calibration method is more accurate than the built-in AWB method. The major disadvantage of gray card calibration is the time consumption compared to an AWB reading. Two optimized gray card calibration methods are also presented as a much faster methods than the traditional and slow exhaustive search method.en
dc.format.extent36
dc.format.mimetypeapplication/pdfen
dc.identifier.isbn978-952-64-1434-8 (electronic)
dc.identifier.issn1799-490X (electronic)
dc.identifier.issn1799-4896 (ISSN-L)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/123667
dc.identifier.urnURN:ISBN:978-952-64-1434-8
dc.language.isoenen
dc.publisherAalto Universityen
dc.publisherAalto-yliopistofi
dc.relation.ispartofseriesAalto University publication series SCIENCE + TECHNOLOGYen
dc.relation.ispartofseries7/2023
dc.subject.keywordauto white balanceen
dc.subject.keywordAWBen
dc.subject.keywordcameraen
dc.subject.keywordphotographyen
dc.subject.otherChemistryen
dc.titleRaspberry Pi AWB determination methods and their statistical analysesen
dc.typeD4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitysfi
dc.type.dcmitypetexten
local.aalto.archiveyes
local.aalto.formfolder2023_09_20_klo_15_25

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