Raspberry Pi AWB determination methods and their statistical analyses
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Miikki, Kim | |
dc.contributor.department | Kemian laitos | fi |
dc.contributor.department | Department of Chemistry | en |
dc.contributor.school | Kemian tekniikan korkeakoulu | fi |
dc.contributor.school | School of Chemical Technology | en |
dc.date.accessioned | 2023-09-21T09:00:06Z | |
dc.date.available | 2023-09-21T09:00:06Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The 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.extent | 36 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.isbn | 978-952-64-1434-8 (electronic) | |
dc.identifier.issn | 1799-490X (electronic) | |
dc.identifier.issn | 1799-4896 (ISSN-L) | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/123667 | |
dc.identifier.urn | URN:ISBN:978-952-64-1434-8 | |
dc.language.iso | en | en |
dc.publisher | Aalto University | en |
dc.publisher | Aalto-yliopisto | fi |
dc.relation.ispartofseries | Aalto University publication series SCIENCE + TECHNOLOGY | en |
dc.relation.ispartofseries | 7/2023 | |
dc.subject.keyword | auto white balance | en |
dc.subject.keyword | AWB | en |
dc.subject.keyword | camera | en |
dc.subject.keyword | photography | en |
dc.subject.other | Chemistry | en |
dc.title | Raspberry Pi AWB determination methods and their statistical analyses | en |
dc.type | D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys | fi |
dc.type.dcmitype | text | en |
local.aalto.archive | yes | |
local.aalto.formfolder | 2023_09_20_klo_15_25 |
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