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.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|State||Published - 13 Jan 2019|
|Event||24th Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference, COLOR 2019 - Burlingame, United States|
Duration: 13 Jan 2019 → 17 Jan 2019
Bibliographical noteFunding 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).
© 2019, Society for Imaging Science and Technology.
- Camera spectral sensitivity
- Color constancy
- Illuminant estimation