Inferring Human Observer Spectral Sensitivities from Video Game Data
This addresses color perception discrepancies for display users, offering a practical solution for next-generation displays, though it is incremental as it builds on existing color matching methods.
The paper tackles the problem of observer metameric breakdown in modern displays by proposing a mathematical framework to calculate individual human spectral sensitivities using a mobile phone-based color matching experiment, forgoing expensive in-person setups and enabling display calibration to match user vision in-the-wild.
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.