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Lightness

Lightness is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Lightness rather than just read about it. In short: Lightness is a visual perception of the luminance ( L ) {\displaystyle (L)} of an object. It is often judged relative to a similarly lit object.

Lightness — main illustration
Lightness — illustration

Key takeaways

  • Lightness belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Lightness to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Lightness from memory before moving on to harder problems.

Reference excerpt

Lightness is a visual perception of the luminance ( L ) {\displaystyle (L)} of an object. It is often judged relative to a similarly lit object. In colorimetry and color appearance models, lightness is a prediction of how an illuminated color will appear to a standard observer. While luminance is a linear measurement of light, lightness is a linear prediction of the human perception of that light. This distinction is meaningful because human vision's lightness perception is non-linear relative to light. Doubling the quantity of light does not result in a doubling in perceived lightness, only a modest increase. The symbol for perceptual lightness is usually either J {\displaystyle J} as used in CIECAM02 or L ∗ {\displaystyle L^{*}} as used in CIELAB and CIELUV. L ∗ {\displaystyle L^{*}} ("Lstar") is not to be confused with L {\displaystyle L} as used for luminance. In some color ordering systems such as Munsell, Lightness is referenced as value. Chiaroscuro and tenebrism both take advantage of dramatic contrasts of value to heighten drama in art. Artists may also employ shading, subtle manipulation of value.

Lightness in different colorspaces

In some colorspaces or color systems such as Munsell, HCL, and CIELAB, the lightness (value) achromatically constrains the maximum and minimum limits, and operates independently of the hue and chroma. For example Munsell value 0 is pure black, and value 10 is pure white. Colors with a discernible hue must therefore have values in between these extremes. In a subtractive color model (e.g. paint, dye, or ink) lightness changes to a color through various tints, shades, or tones can be achieved by adding white, black, or grey respectively. This also reduces saturation. In HSL and HSV, the displayed luminance is relative to the hue and chroma for a given lightness value, in other words the selected lightness value does not predict the actual displayed luminance nor the perception thereof. Both systems use coordinate triples, where many triples can map onto the same color. In HSV, all triples with value 0 are pure black. If the hue and saturation are held constant, then increasing the value increases the luminance, such that a value of 1 is the lightest color with the given hue and saturation. HSL is similar, except that all triples with lightness 1 are pure white. In both models, all pure saturated colors indicate the same lightness or value, but this does not relate to the displayed luminance which is determined by the hue. I.e. yellow is higher luminance than blue, even if the lightness value is set at a given number. While HSL, HSV, and similar spaces serve well enough to choose or adjust a single color, they are not perceptually uniform. They trade off accuracy for computational simplicity, as they were created in an era where computer technology was restricted in performance. If we take an image and extract the hue, saturation, and lightness or value components for a given color space, we will see that they may differ substantially from a different color space or model. For example, examine the following images of a fire breather (fig. 1). The original is in the sRGB color space. CIELAB L ∗ {\displaystyle L^{*}} is a perceptually uniform lightness prediction that is derived from luminance Y {\displaystyle Y} , but discards the X {\displaystyle X} and Z {\displaystyle Z} , of the CIE XYZ color space. Notice this appears similar in perceived lightness to the original color image. Luma ( Y ′ ) {\displaystyle (Y^{\prime })} is a gamma-encoded luminance component of some video encoding systems such as ( Y ′ I Q ) {\displaystyle (Y^{\prime }IQ)} and ( Y ′ U V ) {\displaystyle (Y^{\prime }UV)} . It is roughly similar, but differs at high chroma, deviating most from an achromatic signal such as linear luminance Y {\displaystyle Y} or non-linear lightness L ∗ {\displaystyle L^{*}} . HSL L {\displaystyle L} and HSV V {\displaystyle V} are neither perceptually uniform, nor uniform as to luminance.

Relationship to value and relative luminance The Munsell value has long been used as a perceptually uniform lightness scale. A question of interest is the relationship between the Munsell value scale and the relative luminance. Aware of the Weber–Fechner law, Albert Munsell remarked "Should we use a logarithmic curve or curve of squares?" Neither option turned out to be quite correct; scientists eventually converged on a roughly cube-root curve, consistent with the Stevens's power law for brightness perception, reflecting the fact that lightness is proportional to the number of nerve impulses per nerve fiber per unit time. The remainder of this section is a chronology of lightness models, leading to CIECAM02. Note. – Munsell's V runs from 0 to 10, while Y typically runs from 0 to 100 (often interpreted as a percentage). Typically, the relative luminance is normalized so that the "reference white" (say, magnesium oxide) has a tristimulus value of Y = 100. Since the reflectance of magnesium oxide (MgO) relative to the perfect reflecting diffuser is 97.5%, V = 10 corresponds to Y = ⁠100/97.5⁠% ≈ 102.6 if MgO is used as the reference.

1920 Irwin Priest, Kasson Gibson, and Harry McNicholas provide a basic estimate of the Munsell value (with Y running from 0 to 1 in this case):

… excerpt ends here. Continue reading the full article.

Illustrations

Lightness: Three hues in the Munsell color model. Each color differs in value from top to bottom in equal perception steps. The right column undergoes a dramatic change in perceived color.
Three hues in the Munsell color model. Each color differs in value from top to bottom in equal perception steps. The right column undergoes a dramatic change in perceived color.
Lightness illustration
Lightness illustration
Lightness illustration
Lightness illustration

Worked examples

Example 1 — a first encounter with Lightness

Start with the simplest possible case. Write down what Lightness claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Lightness before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Lightness ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Lightness

In research
Lightness appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Lightness in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Lightness is common in secondary-school and first-year university syllabi. It links to neighbouring topics Color, Photometry, Vision, so understanding it makes those chapters shorter.
In everyday life
Look for Lightness outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Lightness in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Lightness means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Lightness out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lightness in simple terms?

Lightness is a visual perception of the luminance ( L ) {\displaystyle (L)} of an object. It is often judged relative to a similarly lit object.

Why does Lightness matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Lightness?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Lightness.

Tags

  • Color
  • Photometry
  • Vision

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