Inferring Human Observer Spectral Sensitivities from Video Game Data

Inferring Human Observer Spectral Sensitivities from Video Game Data

With the use of primaries which have increasingly narrow bandwidths in moderndisplays, observer metameric breakdown is becoming a significant factor. Thiscan lead to discrepancies in the perceived color between different observers.If the spectral sensitivity of a user’s eyes could be easily measu…

arXiv.orgChatura Samarakoon

Abstract

With the use of primaries which have increasingly narrow bandwidths in modern displays, observer metameric breakdown is becoming a significant factor. This can lead to discrepancies in the perceived color between different observers. If the spectral sensitivity of a user's eyes could be easily measured, next generation displays would be able to adjust the display content to ensure that the colors are perceived as intended by a given observer. We present a mathematical framework for calculating spectral sensitivities of a given human observer using a color matching experiment that could be done on a mobile phone display. This forgoes the need for expensive in-person experiments and allows system designers to easily calibrate displays to match the user's vision, in-the-wild. We show how to use sRGB pixel values along with a simple display model to calculate plausible color matching functions (CMFs) for the users of a given display device (e.g., a mobile phone). We evaluate the effect of different regularization functions on the shape of the calculated CMFs and the results show that a sum of squares regularizer is able to predict smooth and qualitatively realistic CMFs.

Cite as:

Chatura Samarakoon, G. Amaratunga, and P. Stanley-Marbell. 2020. Inferring Human Observer Spectral Sensitivities from Video Game Data. arXiv:2007.00490. Retrieved from https://arxiv.org/abs/2007.00490.

BibTeX:

@misc{samarakoon2020inferring,
    title={Inferring Human Observer Spectral Sensitivities from Video Game Data},
    author={Chatura Samarakoon and Gehan Amaratunga and Phillip Stanley-Marbell},
    year={2020},
    eprint={2007.00490},
    archivePrefix={arXiv},
    primaryClass={q-bio.QM}
}