Analysis of illumination correction error in camera color space

Minji Lee, Byung Uk Lee

Research output: Contribution to journalConference articlepeer-review


Achieving color constancy is an important step to support visual tasks. In general, a linear transformation using a 3× 3 illuminant modeling matrix is applied in the RGB color space of a camera to achieve color balance. Most of the studies for color constancy adopt this linear model, but the relationship of illumination and the camera spectral sensitivity (CSS) is only partially understood. Therefore, in this paper, we analyze linear combination of the illumination spectrum and the CSS using hyperspectral data that have much more information than RGB. After estimating the illumination correction matrix we elucidate the accuracy dependence on illumination spectrum and the camera sensor response, which can be applied to CSS.

Original languageEnglish
Article numberCOLOR-093
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Issue number14
StatePublished - 13 Jan 2019
Event24th Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference, COLOR 2019 - Burlingame, United States
Duration: 13 Jan 201917 Jan 2019

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01057392).

Publisher Copyright:
© 2019, Society for Imaging Science and Technology.


  • Camera spectral sensitivity
  • Color constancy
  • Illuminant estimation


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