Raspberry Pi AWB determination methods and their statistical analyses

Research output: Book/ReportCommissioned report

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.
Original languageEnglish
PublisherAalto-yliopisto
Number of pages36
ISBN (Electronic)978-952-64-1434-8
Publication statusPublished - 2023
MoE publication typeD4 Published development or research report or study

Publication series

NameAalto University publication series SCIENCE + TECHNOLOGY
ISSN (Electronic)1799-490X

Keywords

  • auto white balance
  • AWB
  • camera
  • photography

Fingerprint

Dive into the research topics of 'Raspberry Pi AWB determination methods and their statistical analyses'. Together they form a unique fingerprint.

Cite this