HCL color space
This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)(Learn how and when to remove this template message)
HCL (Hue-Chroma-Luminance) is a color space model designed to accord with human perception of color. HCL has been adopted by information visualization practitioners to present data without the bias implicit in using varying saturation.
HCL is designed to have characteristics of both cylindrical translations of the RGB color space, such as HSL and HSV, and the L*a*b* color space. The HSL and HSV color spaces are more intuitive translations of the RGB color space, because they provide a single hue number. However, their luminance variation does not match the way humans perceive color. Perceptually uniform color spaces outperform RGB in cases such as high noise environments. The L*a*b color space does correspond to the three channels of human perception, but it has poor hue constancy, especially in the blue range.
HCL uses the CIELAB model defined by the International Commission on Illumination (CIE) in 1976, translated into polar coordinates. HCL preserves the L (luminance) axis of L*a*b*, but transforms ab to polar coordinates, where the distance from zero is the chroma (an alternative measure of colorfulness), and the phase (angle) is our familiar hue. The older Munsell color system is based on different mathematics, but has some similarity to HCL.
The dimensions of the HSL and HSV geometries—simple transformations of the not-perceptually-based RGB model—are not directly related to the photometric color-making attributes of the same names, as defined by scientists such as the CIE or ASTM. Nonetheless, it is worth reviewing those definitions before leaping into the derivation of our models.
- The "attribute of a visual sensation according to which an area appears to be similar to one of the perceived colors: red, yellow, green, and blue, or to a combination of two of them".
- Radiance (Le,Ω)
- The radiant power of light passing through a particular surface per unit solid angle per unit projected area, measured in SI units in watt per steradian per square metre (W·sr−1·m−2).
- Luminance (Y or Lv,Ω)
- The radiance weighted by the effect of each wavelength on a typical human observer, measured in SI units in candela per square meter (cd/m2). Often the term luminance is used for the relative luminance, Y/Yn, where Yn is the luminance of the reference white point.
- Luma (Y′)
- The weighted sum of gamma-corrected R′, G′, and B′ values, and used in Y′CbCr, for JPEG compression and video transmission.
- The "attribute of a visual sensation according to which an area appears to emit more or less light".
- Lightness, value
- The "brightness relative to the brightness of a similarly illuminated white".
- The "attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic".
- The "colorfulness relative to the brightness of a similarly illuminated white".
- The "colorfulness of a stimulus relative to its own brightness".
Brightness and colorfulness are absolute measures, which usually describe the spectral distribution of light entering the eye, while lightness and chroma are measured relative to some white point, and are thus often used for descriptions of surface colors, remaining roughly constant even as brightness and colorfulness change with different illumination. Saturation can be defined as either the ratio of colorfulness to brightness or of chroma to lightness.
Transformation from RGB to HCL
if ((R−G) < 0 and (G−B) ≥ 0), then H = H+180
if ((R−G) < 0 and (G−B) < 0), then H = H−180
Q is a tuning parameter that varies luminosity between a highly saturated color and white.
corresponds to the correction factor in L*a*b*
Other uses of HCL acronym
The terms hue, chroma and luminance or lightness can, of course, be used in other contexts. Thus a discussion of HCL may not refer specifically to cylindrical LAB.
- Ihaka R. "Colour for Presentation Graphics".
- Zeileis, Achim; Hornik, Kurt. "Choosing Color Palettes for Statistical Graphics". Vienna University of Economics and Business. Retrieved 2015-10-20.
- Sarifuddin, M. & Missaoui, Rokia (2005). A New Perceptually Uniform Color Space with Associated Color Similarity Measure for Content-Based Image and Video Retrieval (PDF). Multimedia Information Retrieval Workshop, 28th Annual ACM SIGIR Conference.
- Paschos, G. (2001). Perceptually uniform color spaces for color texture analysis: an empirical evaluation. IEEE Transactions on Image Processing, 10(6), 932–937. http://doi.org/10.1109/83.923289
- MCLELLAN, M. R., LIND, L. R., & KIME, R. W. (1995). HUE ANGLE DETERMINATIONS AND STATISTICAL ANALYSIS FOR MULTIQUADRANT HUNTER L,a,b DATA. Journal of Food Quality, 18(3), 235–240. http://doi.org/10.1111/j.1745-4557.1995.tb00377.x
- Ware, C. (2012). Lightness, Brightness, Contrast, and Constancy. Information Visualization: Perception for Design, 69–95. http://doi.org/10.1016/B978-0-12-381464-7.00003-X