![]() ![]() Cameras, LEDs, and color management software have all evolved to improve our ability to collect and interpret RGB wavelengths, but it's still not a perfect science. Human eyes can't always tell the difference between natural white light and simulated white light from LEDs, digital camera sensors can, which can result in some peculiar image behavior under certain conditions, especially with blue light spectrums, which camera sensors can be much more sensitive to than the human eye. LED light technology has been around for a while, but only in recent years has it been used in photography because, although LED lights can combine red, green, and blue signals to simulate white light, it's not the same full-spectrum white light provided by other light sources. They're designed to reproduce images the way human eyes see them, but they can still receive signals from outside the spectrum visible to humans, all of which is still measured with the same RGB system. The proportion of each RGB channel for a given pixel determines the color, while the overall level determines the brightness. ![]() In a similar fashion, digital camera sensors detect light sensitivity, filtering light into red, green, and blue "RGB" channels for each pixel. The vast majority of these wavelengths are invisible to the human eye (like infrared or ultraviolet light), but the wavelengths that are visible to the human eye are picked up by cones, 64% of which are dedicated to detecting red, 32% dedicated to detecting green, and only 2% dedicated to detecting blue. Human eyes work by using "rods" to receive light and dark signals to aid vision in low light and peripheral vision, and red, green, and blue "cones" interpret the color from light reflecting off objects in the world around us. While full-spectrum light, such as light from the sun, appears white, it's comprised of various wavelengths across the full color spectrum. ![]()
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