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of most computers. Though the sRGB values will be the same across all display devices, the actual displayed color depends on the calibration of the monitor used. Therefore, the rendered color is Fig. S8(c) only represents the perceived color seen in the experiment when the monitor used to view the image has a perfect color calibration. It is clear that Fig. S8(a) is significantly different than the generated color sample in Fig. S8(c), even though the camera used in S8(a) and the spectrometer used to acquire the sample that generated the color in S8(c) sampled the same light. Fig. S8(b) is the figure used in the main text (Fig. 3(b)), and was edited to more closely represent the color in S8(c) to prevent confusion. The rendered color samples using spectroscopic data represent the perceived colors of both monitors much more accurately. (C) Figure S8: (a) Photograph of the setup shown in Fig. 3(c) of the main text, taken using a Sony α7R II camera. (b) The edited photograph that appears in Fig. 3(b) of the main text, which was modified to appear close in color to the rendered colors. This manipulation was performed to prevent confusion in the main text. (c) The actual color displayed during the experiment, rendered using spectra acquired using a grating spectrometer and cosine corrector. Hyperspectral images To demonstrate the utility of our wearable passive multispectral device in a more natural setting, we acquired a hyperspectral image of a complex scene, and applied the filters digitally (Fig. S9). The scene included a variety of blue and violet objects, including patches of color made using paints and pastels, plants, and a Morpho butterfly featuring a structural blue color [S5]. The image was obtained using a Middleton Spectral Vision MSV-500 High Sensitivity VNIR hyperspectral camera. 11PDF Image | Enhancing color vision by breaking binocular redundancy
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