Deep Learning for Reducing Metameric Color Mismatch in Camera-based Display Measurement

Guang-Jhih Liou

doi:https://doi.org/10.36463/idw.2023.0769

[VHFp2-2L] Deep Learning for Reducing Metameric Color Mismatch in Camera-based Display Measurement

*Guang-Jhih Liou¹, Pei-Li Sun¹ (1. National Taiwan University of Science and Technology (Taiwan))

colorimetric characterization, metamerism correction, display measurement, deep learning

https://doi.org/10.36463/idw.2023.0769

The problems of metameric color mismatch in camera-based display measurement are solved to some extent through a deep learning model with the spectral parameters of the display's RGB primaries.

Proceedings of the International Display Workshops Volume 30 (IDW '23)

[VHFp2-2L] Deep Learning for Reducing Metameric Color Mismatch in Camera-based Display Measurement