Colour theory is extremely complicated and you can’t really tell from an RGB value in isolation that it represent a colour “exactly halfway” between green and yellow. Colour is perceptual, not a physical phenomenon, and this has significant meaningful consequences. But I’m glad you found a narrative that saved your marriage.
Yellow is Red + Green, so half way between Yellow and Green would be what, 50% Red + 100% Green?
Like you said, color is perceptual, and not only will everyone’s eyes have a slightly different sensitivity for each wavelength, each display will have a slightly different calibration for its RGB channels.
If the original color was in real life, the camera sensor would also be taking the full light spectrum and collapsing it into 3 RGB values, and the camera sensor’s sensitivity/calibration will determine the ratio it converts a yellow wavelength into red and green. (Or maybe the real object isn’t actually yellow, but pure red-+green light, it’s impossible to tell after converting to RGB)
It also depends on the viewing device and the response curves of each subpixel element, colourspace transformations both incidental and intentional (eg colour temperature), other nearby colours, viewing environment conditions, mood and physical temperature of the viewer, psychological priming, and gott knows how many other circumstances.
Colour theory is extremely complicated and you can’t really tell from an RGB value in isolation that it represent a colour “exactly halfway” between green and yellow. Colour is perceptual, not a physical phenomenon, and this has significant meaningful consequences. But I’m glad you found a narrative that saved your marriage.
Yellow is Red + Green, so half way between Yellow and Green would be what, 50% Red + 100% Green?
Like you said, color is perceptual, and not only will everyone’s eyes have a slightly different sensitivity for each wavelength, each display will have a slightly different calibration for its RGB channels.
If the original color was in real life, the camera sensor would also be taking the full light spectrum and collapsing it into 3 RGB values, and the camera sensor’s sensitivity/calibration will determine the ratio it converts a yellow wavelength into red and green. (Or maybe the real object isn’t actually yellow, but pure red-+green light, it’s impossible to tell after converting to RGB)
It also depends on the viewing device and the response curves of each subpixel element, colourspace transformations both incidental and intentional (eg colour temperature), other nearby colours, viewing environment conditions, mood and physical temperature of the viewer, psychological priming, and gott knows how many other circumstances.