CIELUV

In colorimetry, the CIE 1976 ''L''*, ''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 (called 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.

Historical background

CIELUV is an Adams chromatic valence color space and is an update of the CIE 1964 (''U''*, ''V''*, ''W''*) color space (CIEUVW). The differences include a slightly modified lightness scale and a modified uniform chromaticity scale, in which one of the coordinates, ''v''′, is 1.5 times as large as ''v'' in its 1960 predecessor. CIELUV and CIELAB were adopted simultaneously by the CIE when no clear consensus could be formed behind only one or the other of these two color spaces.

CIELUV uses Judd-type (translational) white point adaptation (in contrast with CIELAB, which uses a von Kries transform). This can produce useful results when working with a single illuminant, but can predict imaginary colors (i.e., outside the spectral locus) when attempting to use it as a chromatic adaptation transform.Mark D. Fairchild, ''Color Appearance Models''. Reading, MA: Addison-Wesley, 1998. The translational adaptation transform used in CIELUV has also been shown to perform poorly in predicting corresponding colors.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).

XYZ → CIELUV and CIELUV → XYZ conversions

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:

:
\begin
L^* &= \begin
\bigl(\tfrac\bigr)^3 Y / Y_n,& Y / Y_n \le \bigl(\tfrac\bigr)^3, \\ mu 116 \sqrt - 16,& Y / Y_n > \bigl(\tfrac\bigr)^3,
\end\\ muu^* &= 13 L^*\cdot (u^\prime - u_n^\prime), \\ muv^* &= 13 L^*\cdot (v^\prime - v_n^\prime).
\end

The quantities ''u''′_''n'' and ''v''′_''n'' are the chromaticity coordinates of a "specified white object" – which may be termed the white point – and ''Y''_''n'' 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:''Colorimetry,'' second edition: CIE publication 15.2. Vienna: Bureau Central CIE, 1986.

:\begin
u^\prime &= \frac &&= \frac, \\ muv^\prime &= \frac &&= \frac.
\end

The reverse transformation

The transformation from to is:

:\begin
x &= \frac\\ mu y &= \frac
\end

The transformation from CIELUV to XYZ is performed as follows:

:\begin
u^\prime&= \tfrac1(u^*/L^*) + u^\prime_n, \\ mu v^\prime&=\tfrac1(v^*/L^*) + v^\prime_n, \\ mu Y &= \begin
\bigl(\frac\bigr)^3 L^*~\! Y_n, & L^* \le 8, \\ mu \bigl(\tfrac1(L^* + 16)\bigr)^3\, Y_n, & L^* > 8,
\end\\ mu X &= \frac Y, \\ mu Z &= \frac Y.
\end

Cylindrical representation (CIELCh)

CIELCh_uv, or HCL color space (hue–chroma–luminance) is increasingly seen in the information visualization community as a way to help with presenting data without the bias implicit in using varying saturation.

The cylindrical version of CIELUV is known as CIELCh_uv, or CIELChuv, CIELCh(uv) or CIEHLC_uv, where ''C''*_''uv'' is the chroma and ''h''_''uv'' is the hue:
: $C_^* = \operatorname(u^*, v^*) = \sqrt,$
: $h_ = \operatorname(v^*, u^*),$
where atan2 function, a "two-argument arctangent", computes the polar angle from a Cartesian coordinate pair.

Furthermore, the saturation correlate can be defined as

: $s_ = \frac = 13 \sqrt.$

Similar correlates of chroma and hue, but not saturation, exist for CIELAB. See Colorfulness for more discussion on saturation.

Color and hue difference

The color difference can be calculated using the Euclidean distance of the coordinates. It follows that a chromaticity distance of $\sqrt = 1/13$ corresponds to the same Δ''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 Δ''E''*_''uv'' attributable to difference in hue as , where .

See also

* YUV
*CIELAB color space

References

External links

Chromaticity diagrams, including the CIE 1931, CIE 1960, CIE 1976


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 (CIELAB, CIE CAM, etc.).

{{Color space

Color space
1976 introductions