CIELUV is an Adams chromatic valence color space, and is an update of the CIE 1964 color space. 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 white point adaptation. This can produce useful results when working with a single illuminant, but can predict imaginary colors when attempting to use it as a chromatic adaptation transform. The translational adaptation transform used in CIELUV has also been shown to perform poorly in predicting corresponding colors.
XYZ → CIELUV and CIELUV → XYZ conversions
For typical images, u* and v* range ±100 %. By definition,.
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 taken as the of the perfect reflecting diffuser under that illuminant. Equations for u′ and v′ are given below:
The reverse transformation
The transformation from to is: The transformation from CIELUV to XYZ is performed as follows:
Cylindrical representation (CIELCH)
The cylindrical version of CIELUV is known as CIE LChuv, 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. SeeColorfulness for more discussion on saturation. CIE Lch, or HCL color space in the information visualization community, is increasingly seen as a way to help with presenting data without the bias implicit in using varying saturation. See the HCL color space article for more information on this topic.
Color and hue difference
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 ΔE*uv as a lightness difference of, in direct analogy to CIEUVW. The Euclidean metric can also be used in CIELCH, with that component of ΔE*uv attributable to difference in hue as, where.