Multi-channel LED luminaires offer a powerful tool to vary retinal receptor signals while keeping visual parameters such as color or brightness perception constant. This technology could provide new fields of application in indoor lighting since the spectrum can be enhanced individually to the users’ favor or task. One possible application would be to optimize a light spectrum by using the pupil diameter as a parameter to increase the visual acuity. A spectral- and time-dependent pupil model is the key requirement for this aim. We benchmarked in our work selected L- and M-cone based pupil models to find the estimation error in predicting the pupil diameter for chromatic and polychromatic spectra at 100 cd/m². We report an increased estimation error up to 1.21 mm for 450 nm at 60–300 s exposure time. At short exposure times, the pupil diameter was approximately independent of the used spectrum, allowing to use the luminance for a pupil model. Polychromatic spectra along the Planckian locus showed at 60–300 s exposure time, a prediction error within a tolerance range of ± 0.5 mm. The time dependency seems to be more essential than the spectral dependency when using polychromatic spectra.

多通道LED照明器提供了一个强大的工具，可以改变视网膜受体信号，同时保持视觉参数（例如颜色或亮度感知）恒定。由于可以单独增强光谱以满足用户的喜好或任务，因此该技术可以为室内照明提供新的应用领域。一种可能的应用是通过使用瞳孔直径作为增加视力的参数来优化光谱。光谱和时间相关的瞳孔模型是该目标的关键要求。我们在工作中对选定的基于L和M圆锥的瞳孔模型进行基准测试，以发现在预测100 cd / m ^2的彩色和多色光谱的瞳孔直径时的估计误差。我们报告说，在60-300 s的曝光时间下，对于450 nm的估计误差增加到1.21 mm。在短时间曝光时，瞳孔直径大约与所用光谱无关，从而可以将亮度用于瞳孔模型。沿普朗克轨迹的多色光谱显示在60-300 s的曝光时间，预测误差在±0.5 mm的公差范围内。使用多色光谱时，时间依赖性似乎比光谱依赖性更重要。