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HCL color space

Color space model From Wikipedia, the free encyclopedia

HCL color space
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HCL (huechromaluminance) or LCh refers to any of the many cylindrical color space models that are designed to accord with human perception of color with the three parameters. Lch has been adopted by information visualization practitioners to present data without the bias implicit in using varying saturation.[1][2][3] They are, in general, 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 sRGB gamut plotted within the cylindrical CIELCh color spaces. L is the vertical axis; C is the cylinder radius; h is the angle around the circumference. Left: CIELChab; right: CIELChuv
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Derivation

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Color-making attributes

HCL concerns the following attributes of color appearance:

Hue
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".[4]
Lightness, value
The "brightness relative to the brightness of a similarly illuminated white".[4]
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.
Colorfulness
The "attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic".[4]

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.[5]

CIE color spaces

CIE-based LCh color spaces are transformations of the two chroma values (ab or uv) into the polar coordinate. The source color spaces are still very well-regarded for their uniformity, and the transformation does not cause degradation in this aspect.[citation needed]

Sarifuddin, 2005

Sarifuddin, noting the lack of blue hue consistency of CIELABa common complaint among its users[6] decided to make their own color space by mashing up some of the features.[7][clarification needed]

Other color appearance models

In general, any color appearance model with a lightness and two chroma components can also be transformed into a HCL-type color space by turning the chroma components into polar coordinates.[citation needed]

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References

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