In colorimetry, the CIE 1976L*, u*, v*color space, commonly known by its abbreviation CIELUV, is a color space adopted by the International Commission on Illumination (CIE) in 1976, as a simple-to-compute transformation of the 1931 CIE XYZ color space, but which attempted perceptual uniformity. It is extensively used for applications such as computer graphics which deal with colored lights. Although additive mixtures of different colored lights will fall on a line in CIELUV's uniform chromaticity diagram (dubbed the CIE 1976 UCS), such additive mixtures will not, contrary to popular belief, fall along a line in the CIELUV color space unless the mixtures are constant in lightness.
For typical images, u* and v* range ±100 %. By definition,
The forward transformation
CIELUV is based on CIEUVW and is another attempt to define an encoding with uniformity in the perceptibility of color differences. The non-linear relations for L*, u*, and v* are given below:
The quantities u?n and v?n are the chromaticity coordinates of a "specified white object" - which may be termed the white point - and Yn is its luminance. In reflection mode, this is often (but not always) taken as the of the perfect reflecting diffuser under that illuminant. (For example, for the 2° observer and standard illuminant C, , .) Equations for u? and v? are given below:
The reverse transformation
chromaticity diagram, also known as the CIE 1976 UCS (uniform chromaticity scale) diagram.
The sRGB gamut (left) and visible gamut under D65 illumination (right) plotted within the CIELCHuv color space. L is the vertical axis; C is the cylinder radius; h is the angle around the circumference.
The cylindrical version of CIELUV is known as CIE LChuv (or CIE HLCuv), where C*uv is the chroma and huv is the hue:
where atan2 function, a "two-argument arctangent", computes the polar angle from a Cartesian coordinate pair.
Furthermore, the saturation correlate can be defined as:
Similar correlates of chroma and hue, but not saturation, exist for CIELAB. See Colorfulness for more discussion on saturation.
The color difference can be calculated using the Euclidean distance of the co-ordinates. It follows that a chromaticity distance of corresponds to the same ?E*uv as a lightness difference of , in direct analogy to CIEUVW.
The Euclidean metric can also be used in CIELCH, with that component of ?E*uv attributable to difference in hue as, where .
^Judd, Deane B. (January 1940). "Hue saturation and lightness of surface colors with chromatic illumination". JOSA. 30 (1): 2-32. doi:10.1364/JOSA.30.000002.
^Mark D Fairchild, Color Appearance Models. Reading, MA: Addison-Wesley, 1998.
^D. H. Alman, R. S. Berns, G. D. Snyder, and W. A. Larson, "Performance testing of color difference metrics using a color-tolerance dataset." Color Research and Application,21:174-188 (1989).
^ abcSchanda, János (2007). Colorimetry: Understanding the CIE System. Wiley Interscience. pp. 61-64. ISBN978-0-470-04904-4. As 24/116 is not a simple ratio, in some publications the 6/29 ratio is used, in others the approximate value of 0.008856 (used in earlier editions of CIE 15). Similarly some authors prefer to use instead of 841/108 the expression (1/3)×(29/6)2 or the approximate value of 7.787, or instead of 16/116 the ratio 4/29.
^Colorimetry, second edition: CIE publication 15.2. Vienna: Bureau Central CIE, 1986.
^Zeileis, Achim; Hornik, Kurt; Murrell, Paul (2009). "Escaping RGBland: Selecting Colors for Statistical Graphics". Computational Statistics & Data Analysis. 53 (9): 3259-3270. doi:10.1016/j.csda.2008.11.033.
^Stauffer, Reto; Mayr, Georg J.; Dabernig, Markus; Zeileis, Achim (2015). "Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations". Bulletin of the American Meteorological Society. 96 (2): 203-216. doi:10.1175/BAMS-D-13-00155.1. hdl:10419/101098.
Colorlab MATLAB toolbox for color science computation and accurate color reproduction (by Jesus Malo and Maria Jose Luque, Universitat de Valencia). It includes CIE standard tristimulus colorimetry and transformations to a number of non-linear color appearance models (CIE Lab, CIE CAM, etc.).