Enhancing color vision by breaking binocular redundancy

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Enhancing color vision by breaking binocular redundancy ( enhancing-color-vision-by-breaking-binocular-redundancy )

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Figure S7: (a) Measured emission spectra of the LCD and CRT displays used in this work, displaying a white color (RGB = 255, 255, 255). (b, c) Measured emission spectra of each individual color channel (R, G, B) for the LCD and CRT display, respectively. For blue curves, the displayed color was RGB = (0, 0, 255), red curves RGB = (255, 0, 0), and green curves RGB = (0, 255, 0) The displays used in this work to generate metameric spectra were a True HD-IPS liquid crystal display (LCD) on a LG G3 smartphone and a conventional cathode ray tube (CRT) monitor (Dell E770P). These displays use very different mechanisms to generate colors, which results in significantly different spectra when displaying the same color (i.e. metamers). The LCD display uses a backlight, typically a white LED, which is transmitted through color filter arrays (red, green and blue color filters) to produce its color response. Therefore, the emitted spectrum is the product of the LCD backlight and color filter transmission response. The CRT monitor uses an electron gun, and relies on a phosphorescent screen to control its spectrum in the visible wavelength range. Because the two display types use significantly different methods to generate colors, the two emission technologies have different spectral features for the individual red, green and blue color channels. The distinct features of the two displays are demonstrated in Figure S7(a), which shows the measured emitted spectrum of white light from each display (RGB = [255, 255, 255]). Figures S7(b, c) show the spectrum of each pure color channel (red, green and blue) for the LCD and CRT display, respectively. Color accuracy of photographs: In this work, we used digitally generated color samples from spectroscopic data to demonstrate the splitting of a metameric pair using an LCD and CRT monitor (Fig. 3). This method was used because, due to the difference in spectral response between a camera sensor and the human eye, it is difficult to obtain a precisely color-accurate photograph. This difficulty is shown in Figure S8, which shows the original photograph of the experimental setup in Fig. 3(c), an edited photograph that better approximates the actual color, and a digitally rendered color sample showing the “actual color”. The colors are rendered using CIE matching functions, as described above; the [X,Y,Z] values calculated using the matching functions and the measured spectrum can then be converted to the sRGB color space, which is the working color space 10

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