Inferring Human Observer Spectral Sensitivities from Video Game Data


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 colour 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 colours are perceived as intended by a given observer. We present a mathematical framework for calculating spectral sensitivities of a given human observer using a colour 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 colour 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 regulariser is able to predict smooth and qualitatively realistic CMFs.

Citation information

Samarakoon, Chatura, Gehan Amaratunga, and Phillip Stanley-Marbell. "Inferring Human Observer Spectral Sensitivities from Video Game Data." arXiv preprint arXiv:2007.00490 (2020).

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