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CIE Colour Systems Questions and Answers

31.

Consider the following statements about the CIELAB white point.
1. Tristimulus values are normalised by those of the white.
2. Different white points give different CIELAB coordinates.
3. The white point has no effect on the resulting values.

Answer: C

The first two are correct and follow from the definition. The third is contradicted directly by the normalisation step in the transformation. White point dependence is built in from the start. Normalisation is the first step of the transform.

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Answer: D

Correct answer: dividing by the white point approximates von Kries adaptation

Each of X, Y and Z is divided by the corresponding value for the white before the cube root is taken, which scales the responses to the illumination. That is a crude von Kries transform performed in XYZ rather than in a cone space, and it is why CIELAB values are comparable across illuminants at all.

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33.

Assertion (A): CIELAB is criticised for using a crude chromatic adaptation transform.
Reason (R): It scales the XYZ values rather than the underlying cone responses.

Answer: A

Both are true and the reason gives the defect, and the error is largest for strongly coloured illuminants. CAT02 and its successors operate in a cone response space instead. The error grows with the colour of the illuminant.

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Answer: B

Correct answer: retains a chromaticity diagram with straight line mixing

CIELUV keeps the projective relationship to XYZ, so additive mixtures still lie on straight lines and a uniform chromaticity diagram can be drawn. That suits the display and lighting industries, where colours are added. CIELAB gives up the straight lines and is preferred for surface colours, where they are of no use.

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35.

Consider the following statements comparing CIELAB and CIELUV.
1. CIELUV retains an associated chromaticity diagram.
2. CIELAB is more widely used for surface colours.
3. The two spaces give identical colour difference values.

Answer: C

The first two are correct and reflect actual usage. The third is not so, and the two spaces give measurably different differences for the same pair. Neither is a simple relabelling of the other. Their difference values genuinely differ.

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36.

Assertion (A): CIELUV is preferred in display and lighting work while CIELAB dominates in materials.
Reason (R): CIELUV retains the straight line additive mixing property that CIELAB lacks.

Answer: D

Both are true and the reason gives the reason for the division. Additive mixing matters for displays and hardly at all for dyed textiles. Application decides which space is appropriate. Displays and textiles have different needs.

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Answer: A

Saturation requires a chromaticity measure independent of lightness. CIELAB provides chroma but no corresponding saturation correlate. A chromaticity measure is needed for saturation. CIELAB provides chroma but not saturation.

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38.

Match each appearance correlate with the space that provides it.
List I
A. Chroma
B. Saturation
C. Hue angle
D. Lightness
List II
1. both CIELAB and CIELUV
2. both CIELAB and CIELUV
3. both, using the same L star function
4. CIELUV only among the two

Answer: B

The two spaces share the lightness function and differ in their chromatic parts. Saturation is the one correlate available in only one of them. Lightness and hue angle appear in both. Only saturation is confined to one space.

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Answer: C

Correct answer: the cube root of the luminance factor relative to white

\[ L^* = 116\left(\frac{Y}{Y_n}\right)^{1/3} - 16, \] with a linear segment near black to avoid the infinite slope there. The two spaces share this function exactly, so a colour has the same lightness in both and they differ only in how they treat chromaticity.

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40.

Assertion (A): The L star function includes a linear segment at very low luminance factors.
Reason (R): The cube root has an infinite slope at zero, which the linear segment avoids.

Answer: D

Both are true and the reason gives the reason, and the crossover occurs at a very low value. Numerical behaviour near black would otherwise be poor. An infinite slope at zero would be troublesome. The crossover occurs at a very low value.

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