A team of scientists at Los Alamos National Laboratory has resolved a century-old gap in Erwin Schrödinger’s 1920s vision of color perception by putting missing geometry into the theory, tells Science Daily. Schrödinger planned a unified mathematical description of how humans see color, but until now his model left key pieces undefined, particularly the mathematical underpinnings of hue, saturation, and lightness. The Los Alamos group addressed this by defining what they call the neutral axis, a crucial component that lets the model describe how the visual system encodes differences in perceived color.
Human vision relies on three cone photoreceptors that respond to red, green, and blue wavelengths. To quantify color perception, scientists represent color stimuli in three-dimensional spaces. Schrödinger’s idea was that the curved geometry of these spaces could explain why people perceive certain colors as more similar or different. However, implementation problems in the original mathematical framework made it difficult to connect with practical measurement or visualization techniques used in computer graphics and perceptual science.
By establishing the neutral axis, the researchers have completed the geometric structure needed to show that hue, saturation, and lightness are inherent properties of the color space itself rather than constructs influenced by culture or individual experience. That means brightness and perceived chromatic differences can now be described directly from geometry, a finding that resolves long-standing inconsistencies in the theory and explains subtle effects, like how changes in brightness can slightly shift perceived hues.
This work has implications beyond theoretical physics and color science. Making Schrödinger’s framework robust helps bridge the gap between human perception and mathematical models used in visualization tools, imaging systems, and display technologies. More accurate models could improve how computers render color and support better interpretation of visual data in scientific and artistic contexts.