Raspberry Pi AWB determination methods and their statistical analyses

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isbn9789526414348.pdf (4.93 MB)

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School of Chemical Engineering | D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys
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Authors

Miikki, Kim

Date

2023

Department

Kemian laitos
Department of Chemistry

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Mcode

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Language

en

Pages

36

Series

Aalto University publication series SCIENCE + TECHNOLOGY, 7/2023

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.

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Keywords

auto white balance, AWB, camera, photography

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https://urn.fi/URN:ISBN:978-952-64-1434-8

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[report] Kemian tekniikan korkeakoulu / CHEM