colormaking attributes

 
This page addresses a single issue: how can we describe color experience? Because color occurs in the mind but is a response to light in the world, separate color descriptions are necessary for the external, physical light stimulus and the subjective color perception.

The techniques of photometry allow description of the intensity of a light stimulus as it appears to human vision, and colorimetry translates the stimulus into a color specification. A standard tool used in either approach is the spectrophotometric curve, which shows the exact mixture of light wavelengths emitted from a light source or reflected from a surface.

The standard photometric units provide a useful framework for learning about the geometry of light — how light is defined or measured as it propagates through space, is reflected from surfaces, and registers in optical systems such as a camera or the eye. Many photographers are aware of these basic photometric principles, as they help to judge the photographic demands imposed by contrasts in light intensity. But painters, especially landscape painters, can profit from a clear understanding of how light behaves.

Color experience, the subjective side of color, is described by three colormaking attributes — (1) brightness/lightness, (2) hue and (3) hue purity (colorfulness, chroma or saturation). These permit a sufficient and reliable description of isolated color areas under simple viewing conditions.

Physical color measurements and subjective color descriptions are only correlated, in the sense that one approximates but does not define the other. Fundamentally color depends on context, and context can dramatically change the appearance of lights and surfaces.

Painting is a form of description, and traditional methods of color mixing and color terminology developed among European painters as practical equivalents to the colormaking attributes. This page concludes by explaining these painting methods in the context of modern color description.

 
measuring light & color
 
The first requirement is a method to describe exactly the radiant power of the external light stimulus that creates the perception of light and color. This task is accomplished by three related methods.  

Radiometry is the measurement of radiant power or energy within that part of the electromagnetic spectrum that is optical, meaning it is refracted by glass or can be focused by a lens. This includes microwave, infrared, visible and ultraviolet wavelengths approximately in the range of 1 millimeter to 100 nanometers (10-3 to 10-7 meters, or frequencies of 3 x 1011 to 3 x 1016 Hz). Radiometry excludes radio waves, xrays and gamma rays.

The standard radiometric device is a vacuum glass bulb with a wheel of paddles inside, each paddle painted black on one side and white on the other; the wheel rotates when exposed to heat, light or an ultraviolet lamp.  

In radiometry, electromagnetic power is measured in watts (joules per second), which can in turn be converted into other units of energy or power. Actinometry is electromagnetic power measured in number of photons per second. Radiometry provides the fundamental link between our visual sense and the physics of matter and energy.

(A comment on terminology. Energy is the potential to cause a change in matter, for example a change in its structure, temperature, location, speed or direction of movement; it is measured in joules, roughly the amount of energy required to raise an apple 1 meter off the ground. Power is energy emitted within a fixed time interval, equivalent to the potential speed or rate at which a change in matter occurs; it is measured in watts (joules per second). Intensity is the quantity of power radiating into a fixed solid angle or projected area of space.)
 

the daylight spectral power distribution
the spectrum measured in physical units (radiance in watts) relative to the value at 555 nm

 
The fundamental radiometric description of a light source is its spectral power distribution or SPD, which shows precisely the amount of electromagnetic energy emitted per second at each wavelength interval (or frequency interval). Shown above, for example, is the spectral power distribution of typical noon daylight (sunlight plus skylight) at the earth's surface. The peak energy is at around 450 nm; the energy of each wavelength is shown as a proportion of the wavelength energy at 555 nm (visual "green"). (Note that this peak shifts into the infrared when graphed against wavenumber, a measure of frequency.)  

Photometry is radiometry adapted to represent a single attribute: the average brightness of light as perceived by the human eye. This is done by weighting the power at each wavelength by how strongly that light stimulates the photoreceptors in the eye, then summing the weighted values to get the total visible energy.

The weighting transforms radiometric watts into photometric lumens, the units of visible electromagnetic power. Lumens do not measure brightness specifically, because brightness is a visual sensation that depends on luminance contrast (for example, the full moon appears brighter at night than during the day). Lumens simply measure the proportion of radiant power that the eye is able to see. Your light bulb is rated in watts, because that is how much energy the bulb consumes per second; the light from the bulb is rated in lumens, because that is how much of the energy can visibly brighten your world. The ratio between them is the efficiency of the light source: tungsten light bulbs yield roughly 15 lumens per watt (and lots of invisible heat); energy conserving fluorescent lights produce around 60 lumens per watt (and very little heat).
 

color
vision

measuring light & color
radiometry
photometry
colorimetry

the geometry of light

the colormaking attributes
brightness/lightness
hue
hue purity
optimal color stimuli
are three attributes enough?

painting saturation & value
how to judge saturation
lightness, chroma & saturation
the painters' "broken colors"

These photometric weights define the luminous efficacy of each wavelength, and they combine as the photopic luminous efficiency function, the light adapted sensitivity of the cones (diagram, right). Wavelengths outside the visible range, roughly from 380 nm to 750 nm, negligibly affect the eye and are usually ignored.

The photopic sensitivity curve is scaled so that 1 watt of radiant flux at a wavelength of 555 nm ("green" light) equals a luminous flux of 683 lumens (diagram, right). (This odd number was chosen to provide continuity with the inherited, historical measures of light — as emitted from a single burning candle or lamp, or through an aperture the width of a pencil lead placed over white hot platinum.) The photopic curve then determines the proportional weights used to convert energy at other wavelengths into light.
 

the daylight spectral luminance distribution
the spectrum measured in perceptual units (luminance in lumens), relative to the value at 550 nm

 
Here is the daylight spectral power distribution weighted by luminous efficacy to show the photopic luminous intensity in lumens. The peak luminance has shifted to about 550 nm ("green").

A second curve is available to describe the dark adapted visual sensitivity of the rods — the scotopic luminous efficiency function (diagram, above right). The 507 nm scotopic peak sensitivity is shifted toward the short wavelength side of the photopic efficiency curve; it is scaled so that it matches the sensitivity of the cones at the photopic peak wavelength. This raises the scotopic peak luminous efficacy up to 1700 lumens per watt: the same radiant power, under scotopic viewing conditions, appears roughly three times as bright.

In fact, the peak scotopic sensitivity is over 120 times greater than the photopic sensitivity, if measured as the minimum quantity of light necessary to produce a visible stimulus — not the 3 times greater implied by the photometric scaling. And the point where scotopic and photopic luminous efficacies have equal light sensitivity is actually in the "red" wavelengths, around 640 nm. Thus, the lumen is a different psychophysical unit under photopic, mesopic or scotopic light levels, and it generally understates the luminous efficacy of very dim light stimuli.  

Colorimetry is the measurement of color stimuli using photometric techniques. It does this by weighting the spectral power distribution of a light or surface using three different luminous efficacy curves — either standard colormatching functions or the L, M and S cone sensitivity curves. These values are then used to triangulate or calculate the color of the stimulus when viewed as an isolated patch; the values are also summed to get the color brightness. These techniques are explained in later sections on colorimetry and the CIELAB color model.  

The fundamental photometric description of the light stimulus is called a spectrophotometric curve, which describes the relative quantity of light (lumens or photon counts) as a proportion of some standard or maximum quantity across the visible wavelengths (typically 380 to 750 nm, or 400 to 700 nm). These curves come in three flavors:

• a spectral emittance curve describes the light emitted by sources such as the sun or artificial lights. The quantity of light emitted at each wavelength is expressed as a proportion of the quantity of light emitted at the most luminous wavelength, or at an arbitrary standard wavelength (usually 555 nm or 560 nm).

• a spectral transmittance curve curve shows at each wavelength the light that is passed through or transmitted by the medium as a proportion of the light incident on its opposite surface.

• a spectral reflectance curve shows at each wavelength the light that is reflected (not absorbed) by a surface as a proportion of the light incident on the surface.

Because prints and paintings are essentially surfaces, the spectral reflectance curve is the standard method to describe the color creating characteristics of inks or paints on paper.
 

reflectance curves and cone outputs for
titanium white (PW6) and ivory black (PBk9)

normalized cone spectral curves from Vos, 1978 and Werner, 1982

 
The two examples above show the reflectance curves for the most basic surface colors: black and white. The horizontal dimension identifies specific light wavelengths in the visible spectrum (symbolized in the diagram as spectrum colors). The height of the curve shows the proportion (from 0% to 100%) of the incident light that is reflected by the surface at each wavelength.

The reflectance curve eliminates any effect from variations in the illuminance or intensity of the light source: a surface that reflects 50% of moonlight will reflect 50% of sunlight too. The curve is also the same regardless of the color of the light source, provided only that all visible wavelengths are present in the light in some amount (though measurement is most accurate using a "white" light standard). When interpreting a reflectance curve, assume it represents the surface color as viewed under an equal energy illuminant or "pure" white light, which contains all visible wavelengths in equal amounts.

The difference between the reflectance curves for white and black paints shows that the lightness of a paint is proportional to the average height of the reflectance curve. However this proportion is not easy to determine from the curve itself, because lightness has a curvilinear relationship to reflectance; for example, the graphic arts "middle gray" is produced by an average reflectance of about 19%.

Note also that the average height of a reflectance curve is never 0%: the blackest watercolors reflect about 10% of the light falling on them, and black acrylic paints or color samples reflect roughly 5%.  

The trilinear color specification — the relative proportion of L, M and S outputs produced by the reflected light — can be used to infer the surface color represented by a reflectance curve, and I provide two aids to help you do this. Each curve is overlaid with the log sensitivity curves for the L, M and S cones. To show how the curve is actually interpreted by the eye, most reflectance curves are accompanied by the matching cone response profile, the level of cone response created by the light mixture.
 

a simple method for interpreting spectral reflectance curves

 
The key landmarks are the crossover points where one cone sensitivity curve slips below another. These are conveniently visible in the spectrum as two narrow, distinct bands of color: the "cyan" boundary between "blue" and "green" wavelengths (at around 495 nm), and the "yellow" boundary between "green" and "red" (at around 575 nm). These crossovers divide the spectrum into three sections: blue, green, and red. Within each section, the S, M or L cone is the dominant receptor. As a rule of thumb, the proportion of reflected light in each section of the spectrum indicates the proportional contribution of the L, M or S cones to the color sensation.
 

luminous efficacies for
photopic and scotopic vision

curves show the number of lumens
produced by 1 watt of radiant power
at each wavelength between
380 nm and 700 nm

It is typically unwise to "read" the color appearance (lightness, hue or chroma) of a surface directly from its spectral reflectance curve. For example, the reflectance for a scarlet paint (diagram, right) has peak reflectance in the "red" end of the spectrum, but where exactly is its dominant wavelength (hue)? The tail of "blue" and "green" reflectance can have a significant impact on the hue and chroma of the surface. It is also difficult to assess the lightness of the surface, as mentioned above. Reflectance curves are most interpretable when one curve is compared to another — to indicate the relative reflectance difference between two paints or inks or papers — or to indicate the general color appearance — red versus green, or saturated red versus unsaturated red.
 

using reflectance curves to define a color mixture
equal parts ultramarine blue (PB29) and cadmium red deep (PR108)
 

Two reflectance curves can also be combined to model the color that would be produced by the mixture of two pigments, as shown above for a mixture of equal parts of ultramarine blue (PB29) and cadmium red deep (PR108).

The reflectance curve for watercolor paint mixtures (of paints having equal tinting strength, opacity and dilution) is approximately the geometric mean of their separate reflectances computed at each wavelength in the spectrum. (The geometric mean is the square root of the product.) For example, if ultramarine blue reflects 80% of a specific "blue" wavelength (say 480 nm), and cadmium red deep reflects only 8%, then their mixture will reflect roughly 25% of the 480 nm light (that is, 0.08 x 0.8 = 0.064, where the square root of 0.064 is 0.25). This averaging must be repeated for every wavelength, then the apparent color of the mixture is determined from the cone responses to the resulting average reflectance curve (white line).

For transmission filter mixtures, the simple product of the two transmission profiles gives the resulting light intensity: 0.80 x 0.08 = 0.064, or 6.4% for the 480 nm wavelength.

The geometrical mean gives more weight to the absorbance rather than the reflectance of the two paints: at every wavelength, the reflectance of the mixture is closer to the darker paint. However, to judge the approximate hue of the mixture or understand how the two paints will behave when mixed with each other or with light, the visual average — shifted somewhat toward the darker reflectance curve at each wavelength — may often work fine.
 

a spectral reflectance curve for a scarlet red paint

This illustrates that color perception is dominated by wavelengths emitted or reflected within the center of the spectrum, roughly between "cyan" and "red orange". Paints that mostly absorb the middle wavelengths and reflect the spectrum ends (such as deep red and blue violet) produce especially dark colors.

 
the geometry of light
 
The conversion from a spectral power distribution to lumens is only the first step toward a useful measure of light intensity. It is also necessary to specify the spatial geometry that applies in the viewing situation. The eight elements necessary to define the spatial geometry of light are:

1. an imaginary point source to represent the spatial origin of emitted light (the radial property of light)

2. an imaginary measurement sphere centered on the point source (key element in luminous flux)

3. an imaginary aperture area or surface area (A), defined on the surface of the measurement sphere that encloses the emitted light (key element in luminous intensity)

4. a straight line defining the average direction of light emitted from the point source into the solid angle

5. the distance (D) from the point source to the enclosing spherical aperture area or surface area (radius of the measurement sphere; key element in illuminance)

(alternately, the solid angle defined by the ratio between the spherical surface area and its squared distance from the point source: A/D2; see solid angle and inverse square correction)

6. the angle of incidence (θi) of the direction of light onto a receiving physical surface area (see cosine correction for surfaces)

7. the source area (S) of the physical surface that emits the light (key element in luminance)

8. the angle of emittance (θe) of the direction of light from the surface of the light source (see cosine correction for light sources).

9. the pupil area admitting light to the retina (key element in retinal illuminance)

The diagram below provides a summary and visual mnemonic for the various measurement units and the geometric restrictions unique to each.
 

the relationships among standard photometric units

 
There is a parallel radiometric nomenclature (radiant flux, radiant intensity, irradiance and radiance, excluding the troland), with identical measurement definitions that are unweighted for the eye's spectral sensitivity.
 

Luminous Flux is the measure closest to the fundamental physics of light generation. It is measured in lumens (lm):

1/683 watt emitted = 1 lumen

As mentioned above, the fractional unit of power (watt) was adopted to remain consistent with historical units of light measurement: one lumen is roughly equal to the light emitted by a single wax candle.

Luminous flux is the generic term for the visible power a light source emits per second. Total luminous flux is specifically the light emitted by the light source in all directions. The spatial geometry is equivalent to enclosing a point source within a measurement sphere and capturing all the light incident on the sphere's inside surface (diagram, right). The radius of the sphere — the distance from the light source to the measurement surface — does not affect the measurement.

Luminous flux can be calculated by measuring the output from a light source from many different angles at equal distances, then integrating these over a spherical area; or by measuring the reflected light at one point inside a diffusing sphere, and extrapolating that quantity to the total surface. In practical situations, the quantity is usually obtained by measuring the light from a specific direction and distance (illuminance or luminance), and then calculating backwards from that.

Luminous flux is a "source centric" definition of light: it describes the source without regard to the direction, distance or surface area of any surface, camera or eye that might receive the light. Conceptually it represents the light source independent of a physical point of view, and corresponds to the sense of physical power we infer from the experience of outflowing light.
 

luminous flux defined by a measurement sphere

Luminous Intensity is the luminous flux emitted from a point source into a radial envelope called a solid angle (explained below).

The solid angle is essentially a "window" or aperture cut into the measurement sphere. The average direction of light we want to measure is centered within the area of this aperture. The light must be a point source and located at the center of the sphere when the aperture and direction are defined.

This aperture removes a spherical surface area from the measurement sphere, which is the area of the solid angle. This aperture area can be any size or shape, but the standard or unit solid angle is the steradian, equivalent to a square aperture 57° on a side or a circular aperture 65° in diameter. The steradian defines luminous intensity as lumens per steradian or candelas (cd):

1/683 watt emitted into 1 steradian
= 1 lumen/steradian
= 1 candela

The steradian encloses an area equal to the square of the radius of the measurement sphere, or a square radian. It is the unit solid angle because it is defined on a unit sphere (of radius 1), which makes its area equal to 1. As a result, the steradian aperture area is equal to 1/4π (roughly 1/12th) of the total surface area of a sphere. Thus, assuming a point source that radiates equally in all directions:

luminous intensity = luminous flux/4π

Luminous intensity captures the notion of a light source as having a brightness or power in a specific direction: street lights illuminating the pavement underneath, ceiling lights illuminating an office work area, a spotlight turned toward a cabaret singer, the sun shining toward the earth.

However, luminous intensity is still a "source centric" or abstract measure of light, because we have not specified the distance to a viewer or illuminated surface, nor the size of a physical surface that receives the light. Luminous intensity is an abstract measure of the flux density within a standard solid angle.  

Viewing Geometry. To make light measurement "viewer centric", we must state the viewing geometry between light emitting and light receiving objects in space.

The point source or radial property of light is now limited by two measurements in space: (1) the aperture or surface area receiving the light and/or emitting the light, and (2) the distance from light source to receiving surface. A cosine correction, for surfaces that are not perpendicular to the direction of the light, is often necessary.  

Solid Angle. The "source centric" measures of luminous flux and luminous intensity require a point source because this permits use of the solid angle. The point source is a measurement convention, the geometric foundation for the solid angle, and not a physical description of the light source.

The solid angle is a radial envelope that defines a projected area that grows larger with increasing distance from a light source, just as a projected slide image or flashlight beam appears larger when it is cast onto a surface farther away.
 

luminous intensity measured by steradian in a specific direction

the steradian is the area on the surface of a sphere equal to the square of the radius of the sphere

The solid angle is analogous to a cone or pyramid, in that it has three attributes (diagram, right): (1) an apex or point, corresponding to the point source of light, (2) a central axis, corresponding to the average direction of light we want to measure, and (3) a base corresponding to the projected area that encloses the light energy. The area of a circular solid angle whose width is θ degrees is:

However, the solid angle is a measurement unit of projected area, and not a geometrical figure, in the same way that a square foot is a measurement unit of surface area, and not an actual square one foot wide. In particular, the solid angle can represent a surface area or separate areas of any shape — a circle, square, ellipse, pentangle, only the dark squares of a chessboard, and so on.  

Second, the projected area is defined on a measurement sphere centered on the point source, and not by a physical surface area that actually receives the light (for example, the base of a cone). To calculate area on the surface of a sphere, the dimensions of the projected area must be expressed in radians. This is done by converting the angular subtense of the area in degrees (ASdegrees, its apparent dimensions in degrees of an arc as viewed from the point source) into radians:

ASradians = ASdegrees*(π/180).

Then the spherical solid angle area (in steradians) can be calculated using the usual formulas for the area of plane figures. For example, a circular measurement area defines a solid angle as:

solid angle (steradians) = π*(ASradians/2)2

and the solid angle for a square measurement area is:

solid angle (steradians) = ASradians2.

For example, the sun and moon both appear as circular disks subtending a visual angle (apparent diameter) of 0.5° or 0.0087 radians. So the solid angle defined by their circular surfaces is π*(0.0087/2)2 or 0.00006 steradians.

For plane surfaces that are extremely small in comparison to the distance to the light source, the discrepancy between spherical and plane geometry usually can be disregarded and the solid angle computed from the plane area and distance expressed in the same units (inches, meters, kilometers).

Now the crux: because the sides of a solid angle and beams of light both radiate from the point source like spokes from a wheel, the quantity of light radiating into a solid angle remains constant regardless of distance from the point source.
 

solid angle and standard surface area
the solid angle is used to measure luminous intensity, which does not change with distance; the surface area is used to measure illuminance, which does change with distance

 
This is because the solid angle defines a constant proportion between the spherical area it contains and the distance of the surface from the point source (both measured in the same distance unit, such as meters):

A solid angle is always in steradians when both the spherical surface area enclosed by the solid angle and the radius of the measurement sphere are expressed in the same units (feet, meters, kilometers). Thus a square meter surface area at a distance of 1 meter defines a solid angle of 1 steradian.
 

elements of a solid angle

the projected area may not equal the surface area receiving the light

Although it is not a geometrical figure, the steradian is a useful perceptual proportion for visual estimates of brightness on a surface (diagram, right). A "distance wide" circle of surface area underneath a diffuse light appears more or less evenly illuminated by the light and anchors our judgment of whether the light's illuminance is adequate to its purpose. A reading lamp looks adequately bright or too dim according to the amount of light it casts on a 2 foot circle of desk underneath it, and a ceiling light according to the 9 foot wide circle of floor below.  

Inverse Square Correction. Instead of using the angular subtense to calculate the solid angle in luminous intensity, the solid angle can also be calculated in terms of a standard surface area that actually receives the light, such as a square meter or square foot. This is appropriate when we want to measure light in a human scale — the light falling on a kitchen table or the page of book. But given a light of constant luminous intensity and a surface of constant area, the surface captures more or less light depending on whether it is near or far from the light source. So we have to adjust the luminous intensity contained in a solid angle to account for actual physical distances.

This relationship between distance and the projected surface area of a solid angle is described by the inverse square law:

Ib = Ia * Da2/Db2

Which means: if the intensity Ia of a light is measured within a surface area at distance Da, and the surface is then moved to a new distance Db, the quantity or intensity of light at the new distance Ib will be increased or decreased by the ratio of the two squared distances. In the diagram (above), a surface area that is 3 distance units from the light source receives 1/32 or 1/9th the luminous intensity of the same surface at 1 distance unit. This follows from the constant proportions required by the solid angle:

Ia/Da2 = Ib/Db2.
 

streetlight and steradian

Cosine Correction. Finally, any physical surface area corresponding to the solid angle area is always assumed to be flat (a plane) and perpendicular to the average direction of light. If the plane surface is tilted at an oblique angle to the direction of light, the physical surface area enclosed by the solid angle increases, or the apparent size of the surface, as viewed from the point source, decreases (subtends a smaller visual angle). This is called foreshortening. Because the surface area as seen from the point source appears smaller, the surface receives less light.

This problem is solved by the cosine correction for foreshortening. The light incident on a surface is attenuated by an amount equal to the cosine of the angle of incidence (θi, diagram right) multiplied into the area of the solid angle:

If a surface is perpendicular to the direction of light then the cosine is 1.0 and there is no reduction in light intensity. If the surface is at a 45° angle to the direction of light then the cosine is 0.707 and the intensity on the surface is reduced by 71%.  

Illuminance is simply the amount of light incident on a surface from a light source or sources of any size at any distance. To specify the concept of illuminance, no information about the distance or size of the light source(s) is necessary. However, the standard measurement unit of illuminance is conventionally defined as the light energy incident on a standard surface area (one square meter) at a standard distance (one meter) from a point source, in one second. This yields lumens per square meter (lm/m2) or lux (lx):

1/683 watt incident on 1 square meter
= 1 lumen per square meter
= 1 lux

There are several obsolete or nonmetric definitions of illuminance, including the foot candle (1 lumen incident on 1 square foot). As there are roughly 10 square feet in one square meter, the foot candle defines a larger unit of light:

1 foot candle = 10.76 lux.

Two definitions of illuminance start with the previously measured output from a light source:

Luminous flux is the total output in all directions, so it must be divided by to obtain luminous intensity. Thus, a nonreflecting 60W incandescent bulb emits about 600 to 840 lumens (and lumens denotes luminous flux); so its illuminance at 3 meters is about 5 to 8 lux.

Recessed or reflector bulbs emit their luminous flux in one direction. The diameter of this light cone varies with type of lighting, but a handy rule of thumb is that the cone fits within one steradian (luminous flux = luminous intensity, and lumens = candelas). Thus, illuminance is equal to luminous intensity: 1 lumen equals 1 lux at 1 meter distance, and only the inverse square correction is necessary: for a 60W reflector or recessed light rated at 650 lumens, the illuminance at 3 meters is about 72 lux.

If the light is obliquely rather than perpendicularly incident on the surface, then the illuminance is less, and the luminous intensity must be multiplied by the cosine correction for foreshortening.

A third definition is based on the luminance and image size (solid angle) of the light source:

[3] illuminance = luminance * solid angle S

with luminance measured in candelas per square meter, and illuminance in lux.

Three key points will help clarify the concept of illuminance. First, despite the source centric definitions above, illuminance comprises the total light power incident on a specific surface at a specific location in space. It is equivalent to the "blind" skin sensation of heat induced by the distant sun or a nearby light bulb. The sensation, by itself, cannot indicate the size, distance or intensity of the source; similarly, by itself illuminance does not specify light sources — it describes the light falling on a surface.

Second, illuminance is not directly visible as a quantity of light. We only see its reflected image as the luminance of physical surfaces. If the light source were behind us, and there were no surfaces in view (or the surfaces completely absorbed light), we would look into total darkness. If we turned to look directly at the source of illumination, we would perceive the luminance of the optical image of the light source on the surface of the retina, which depends not only on the quantity of illuminance but on the visual size of the source that emits it.

Third, illuminance is very closely related to the geometry of objects in relation to light sources. For example, on a clear sunny day, a book held in the shadow of a stop sign on a country road is illuminated by the entire visible sky; but if we stand in the shadow of a large building that blocks out half the sky, the illuminance is reduced by half. Similarly, if a single north facing window illuminates a room, drawing the blinds from a second window doubles the illuminance. In forests, canyons, alleys or overcast days, the reduction in illumination from the daylight maximum is equal to the amount of light obstruction.

This dependence on object geometry makes illuminance the key architectural measure of lighting. The physical dimensions of an interior space define lighting requirements, because distance has a huge impact on illuminance through the effect of the inverse square law. At one meter, a single candle (1 candela) yields an illuminance of 1 lux. At 10 meters, the candle produces an illuminance of 0.01 lux. To get back the illuminance of 1 lux from a distance of 10 meters, we would have to use 100 candles. However, the same level of illuminance can be provided by many different lighting systems (number, power and physical size of light sources); illuminance provides a specification of what the total lighting system must deliver.

There are many illuminance standards for the amount of light desirable in different architectural settings or for different tasks. Office lighting standards require illuminances in the range of 300 to 500 lux at work surfaces; home lighting levels are typically lower. (See this section for a broad comparison of illuminance levels.) Many eyestrain problems are created by the effects of glare (reflected light) or excessive light contrast, and not by inadequate illuminance levels.

Lighting engineers and interior designers measure illuminance with an illuminance meter or light meter, which determines the amount of light through the electric current produced by light energy falling on a photosensitive surface.

Lighting engineers often use a light meter that collects light arriving from a wide area, so that the measured illuminance corresponds to light sources of any size and shape in any direction; these all sum to the total light incident on the measurement device. Photographers similarly use a light meter to estimate the average quantity of light available to alter photographic film; however, they typically measure only the light reflected from an average gray card, or the average light reflected from only the surfaces included in the image.  

Luminance is the illuminance incident on a surface area, divided by the angular width of the source as viewed from the surface. It is the most context specific definition of light, because it is based on two solid angles, or a solid angle and a surface area, which gives candelas per square meter (cd/m2):

1/683 watt incident on
1 square meter at 1 meter distance
= 1 candela/meter2

A surface one meter square at one meter distance is equivalent to the steradian solid angle. So why isn't luminance the same as luminous intensity? Because the definition includes two surface areas: the surface area implicit in the steradian solid angle (used to define the candela), and the square meter divided into it.

Luminance does not apply to a point light source but to an extended light source, a light or reflecting surface that has a visible width or measurable surface area. Since all physical light sources must have a surface area (or angular size), luminance is a truly "viewer centric" definition of light — the photometric unit that most closely approximates the perceived brightness of a light or the lightness of a surface as viewed by a camera or human eye. It is the fundamental measure of visible light or image brightness.
 

the cosine correction for foreshortening

Luminance assumes a light emitting surface (such as the diffusing glass over an electric light bulb, or a reflecting sheet of white paper) that produces all the light incident on a light receiving surface (film, CMOS chip, retina), which may equivalently be an aperture that blocks the light arriving to the surface from extraneous light sources. The diagram below illustrates the basic geometry of luminance in terms of a flat, diffuse light source radiating into a unit hemisphere.
 

the basic geometry of luminance
luminance is the solid angle of point luminous intensity, times the surface area of the light

 
This geometry yields five equivalent definitions of luminance based on different measurement units:

Formula [1] shows that luminance is defined by three geometrical quantities: the two surface areas (or a surface and an aperture area) and the common distance between them. Thus, the surface area of the light source (circular in the diagram) is defined by π*X2. (The area of a square light source would be (2X)2.) The circular area of the light receiving surface (or aperture) is π*Y2. This surface (or aperture) is at distance D from the source.

It is usually convenient to divide the distance squared into one or the other surface area to create a solid angle, as in formulas [2] and [3]. The light receiving aperture area defines the solid angle A, equal to π*Y2/D2 steradians; the light emitting source area defines the solid angle S equal to π*X2/D2 steradians.

As always, it is desirable to express X and Y as a visual angle in radians, as this preserves the spherical area of the solid angle. If Y is the angular subtense (in radians) of the aperture as measured from a point s on the source and X is the angular subtense of the source measured from point d at the aperture, then their solid angles are π*Y2 steradians and π*X2 steradians.

The solid angle A defines the proportion of luminous flux passing through the aperture from any single "point source" s on the surface of the light source. The total number of points illuminating the aperture is equal to the physical area of the source (π*X2). So the solid angle A based on the spherical area of the aperture is multiplied by the area of the source, and this is divided into the luminous flux.

Note that distance is only included once in a luminance calculation, so two solid angles are never required. In formula [4], luminous intensity already contains one solid angle (in the "aperture" area of the steradian solid angle), so this is scaled by the source area only. In formula [5], illuminance only contains a surface area (the area of the surface/aperture that receives the light), so this must be scaled by the solid angle to the source (its visual size at the viewing distance).
 

As before, in any of the formulas above, the luminance quantity can be adjusted with the cosine correction (diagram, right), when either the aperture plane (the angle of incidence, θi) or the source plane (the angle of emittance, θe) or both (e.g., a foreshortened source shines onto a foreshortened surface) are not perpendicular to the average direction of light between them:

Let's consider the perceptual implications of luminance. First, luminance describes the image quantity of light, in the sense that the luminance geometry corresponds to the geometry of an optical image, including the image formed within the eye. Luminance is always visible, and is therefore complementary to illuminance, which is always invisible.

Second, luminance defines the "area intensity" of the light source. It does not simply describe the intensity of light within the image or the quantity of light reaching the eye, but the degree to which the measured intensity originates from a visually compact source. As a simple example: you step into a business office and notice that the floor is brightly illuminated. Simply by looking at the floor and the material it is made of, you can infer the approximate level of illuminance, for example as compared to the illumination produced on the ground by daylight. But you cannot see the luminance of the light source itself.

If you looked up, you might see that the illuminance originates in several "spotlight" ceiling fixtures, each of which would appear very small from your vantage and therefore uncomfortably bright to look at (high luminance). Or the entire ceiling may be covered by diffusing light panels, which spread the light over a large area and therefore appear comfortably dim (low luminance). Lighting engineers apply this fact in the design of light fixtures that deliver the necessary illuminance while spreading the source luminance over a larger visual area.  

Third, the "area intensity" of luminance is constant across distance. Since the illuminance of a light source is proportional to the inverse square of its distance, the incident light decreases as a light moves farther away. But the visual size of the light also gets smaller from our viewpoint, and by the same inverse square proportion. As a result, the ratio between incident light and visual size remains constant. As lights recede from us, they become dimmer but also proportionally more concentrated in visual area, so we perceive the source as having a constant brightness. The same is true for relative luminance (illuminance times surface reflectance): material surfaces have approximately the same lightness regardless of distance.

Despite these spatial invariants, luminance and the perception of brightness/lightness are only loosely related. Perceived brightness depends on the apparent distance of the light (lights appear fainter as they move farther away), and the lightness of surfaces depends on the local contrast with other surfaces; both depend on the level of luminance adaptation.  

Luminance & Optics. The luminance of a light source as imaged in an optical system, such as a camera or the eye, introduces some specific issues.
 

the pinhole geometry of luminance
the solid angle of the image equals the solid angle of the light source surface; both are constant across distance

 
In the simplest case, a pinhole camera contains no lens, only a hole that is extremely small in relation to the distance D to the light source and the focal length F to the image plane. The pinhole causes each point s on the source to project a single point image of itself on the image plane. As the solid angles S and I are therefore equal, the total light passing through the pinhole is equal to the illuminance (not the luminance) of the source at the pinhole.
 

cosine corrections in luminance

The pinhole is in turn a point source inside the camera, creating the image at focal distance F. Since moving the image plane away from the pinhole makes the image area (I) larger by projection, but does not increase the illuminance into the image, increasing the focal length makes every part of the image dimmer. So the image luminance is determined by the pinhole illuminance divided by the focal length squared (F2):

luminance [image] = illuminance/F2

What happens if we increase the size of the pinhole aperture, to let in more light? This increases the area admitting light:

luminance [image] = aperture area * (illuminance/F2)

which produces a much brighter but optically blurred image. The blurring effect of increased aperture is overcome by a lens (or parabolic mirror).
 

the optical geometry of luminance
the solid angle of the image is proportional to the ratio of the distances D/F

 
The solid angles I and A on opposite sides of the lens are no longer equal — the lens refracts the light "rays" into a wider solid angle. However, the two solid angles have in common the surface area of the aperture or lens opening, therefore the ratio of the two solid angles equal to the ratio of the two distances, D2/F2. This is the power or light concentrating capability of the optical system.

Assuming D is very large relative to F (as for binoculars or a telescope), then the solid angle I becomes larger, and the power of the optical system increases, as the focal length F becomes shorter. When the lens produces a focused image, then the physical image area is proportional to the physical source area in the ratio F2/D2 — that is, the higher the optical power, the smaller the focused image.

Each ratio is a reciprocal of the other, so they neatly cancel each other out when the solid angle I is multiplied by the image area (or when solid angle A is multiplied by the source area). As a result, for a completely transparent lens:

luminance [image] = luminance [source].

This essentially restates the third luminance property of light sources — luminance remains constant across changes in distance — because the image of an object in any optical system grows larger or smaller in the same inverse square relation to the object distance.

The quirk here is that the image illuminance increases with optical power, just as it does with increased aperture. As aperture increases (the physical width of the lens becomes larger), it collects more light; as power increases, it concentrates the gathered light into a smaller image area. Both effects increase the incident light (illuminance) at any point within the image area and the luminance (brightness) of the image. A magnifying glass ignites a piece of paper in sunlight, because the sun's heat is condensed from the aperture area of the lens (its shadow area on the paper) into the area of the sun's image on the paper. A short focal length, wide angle lens exposes a photographic film more quickly than a long focal length telescopic lens of equal aperture.

Luminance & Surfaces. The luminance of reflecting surfaces is potentially complex and depends on (1) the illuminance onto the surface, (2) the surface reflectance or albedo of the surface (the proportion of light falling on the surface that is reflected from it), (3) the angle of incidence of the light, (4) the angle of view to the surface, and (5) how much the surface diffuses or randomly scatters the light. These issues are explored on a later page, but a few points should be mentioned here.

There are several alternative luminance measures that attempt to equate the luminance of a perfectly diffusing (matte) "white" surface with the luminance of a light shining on it. The most common are the metric apostilb and millilambert (preferable to the inconveniently small lambert) and the USA foot lambert:

1 candela/meter2 (1 nit) = 3.1416 apostilbs
= 0.3142 millilambert
= 0.2919 foot lambert

These are all related to the general formula for the luminance of a surface (perpendicular to the direction of light):

Note that reflectance is not the lightness (L) but the luminance factor (Y). In most situations surfaces reflect to the eye only a small portion of the light incident on them. In addition, surfaces are typically much larger in visual size than the light source. This can confound the luminance comparison between surfaces and lights.

For example, a perfectly diffusing (matte) "white" surface 1 meter square, placed one meter below a perfectly diffusing light panel 1 meter square, will appear to be about 1/3 as bright (or light) as the light source; an "average" or middle gray surface will appear 1/15th as bright. Increasing the distance between light and surface will cause the light source to appear even brighter than the white surface; and reducing the visual size of the light concentrates the luminance in a smaller visual area and increases the brightness disparity even further — well beyond the limits of luminance adaptation, which can only handle a luminance range of about 1000:1. As a result all natural light sources (and concentrated artificial lights, such as a bare tungsten filament) look far "too bright" or glaring compared to the illuminance they provide. Alternately, a source that is comfortable to look at directly (such as the full moon, or a candle) typically produces illuminance that seems dark or feeble.

Paradoxically, glossy or shiny surfaces will usually appear darker than matte surfaces having the same reflectance, unless the light source is reflected directly to our eyes. This is why the highly reflective waters of a sea or lake appear dark in comparison to highly reflective beach sand: the sand diffuses light equally in all directions, whereas the water reflects light primarily in the direction where the sun's image is visible on its surface.  

Retinal Illuminance is a measure of the amount of light that actually enters the eye. It is measured in trolands and is derived as the luminance of the light source multiplied by the area of the observer's pupil in square millimeters. Because pupil sizes vary from one individual to the next and across different light intensities, the troland has only an empirical or observed relationship to source luminance; but at typical indoor levels of illumination (around 300 lux):

1 candela/meter2 = ~10 trolands

Thus, the moon's retinal illuminance in trolands is greater at night than it is during the day, because at night our dark adapted pupils are larger.

The troland is primarily used in vision research, and to standardize things an artificial pupil (small hole in an opaque screen), of a fixed width that is smaller than the range of pupil widths among experimental subjects, is placed in front of the viewers' eyes.

The troland does not take into account most of the perceptual changes involved in luminance adaptation between day and night, so (like luminance) the troland does not describe very accurately the subjective sensation of brightness. It simply allows more precision in the estimate of light actually incident on the retina.

James Calvert has posted a useful Illumination tutorial that explains the geometrical definitions and standard formulas for photometric units.

 
the colormaking attributes
 
The physical measurement of light must be joined with an accurate description the subjective color experience produced by the color stimulus. This description is based on three colormaking attributes: (1) brightness/lightness, (2) hue and (3) hue purity (chroma or saturation), first defined by Hermann Grassmann and Hermann von Helmholtz in the 1850's.

Exactly how the three colormaking attributes relate to the three L, M and S cone fundamentals, the physiology of color vision, is not a concern. The only goal is to provide an unambiguous way for individuals to describe a color experience as a number or quantity on three standardized and easily recognized attributes.

The appearance of a color is a judgment based on context — the setting in which the color is viewed and our luminance adaptation and chromatic adaptation to that setting. But at the same time we can make an absolute color judgment, a kind of color perception in an ideal color space independent of the viewing context or our visual adaptation. This allows us to compare and recognize colors across different situations, for example when we perceive that a white piece of paper is brighter under noon sunlight than midnight moonlight, or that the colors of sunset are redder than those of noon. The relativistic colormaking attributes, those influenced by our visual adaptation and the viewing context, refer to related colors, while the absolute color judgments are roughly equivalent to unrelated colors.  

The three context attributes most important to color perception are:

• the intensity and color of the illumination — by far the most important context element. Different terms apply to the two separate attributes of a light source and their combination:

– illuminance refers to the quantity or intensity of light incident on the color area, which (via the light reflected from surfaces) determines the level of luminance adaptation.

– illuminant refers to an abstract relative spectral power distribution that characterizes the chromaticity of an idealized light source independent of its brightness; the actual spectral power distribution of a light determines its color rendering properties and the chromatic adaptation imposed on the visual system

– illumination refers generically to the intensity and color of the light incident on the color area and surrounding surfaces.

• the relative luminance contrast between a color area and its surroundings, which determines its perception as an emitting light or a reflecting surface. Colors appear self luminous when their luminance is much greater than a recognizably "white" surface; they appear as object or surface colors when their luminances are less than "white". Colors that cannot be clearly identified as either lights or surfaces are called aperture colors. Additionally, the chromaticity contrast (the relative luminance contrasts within specific parts of the spectrum) between a color and the surrounding surfaces often alters color perception.

• the spatial interpretation of the scene, which determines the three dimensional relationship between different surfaces, and between all surfaces and the (usually multiple) light sources in the viewing context.

To make accurate color judgments, these contextual factors (and others, such as gloss, texture or specular reflections) either must be eliminated (as in unrelated colors) or explicitly standardized (as related colors viewed on a medium gray background under a diffuse, moderately bright, full spectrum "white" light).

Physical Stimulus, Perceptible Stimulus and Sensation. The colormaking attributes provide a flexible and unambiguous description of color sensations as experienced in lights or surfaces. But this entails that they do not describe the physical qualities of the color stimulus, and are not equivalent to any measured quantity of the stimulus.

For example, a subjective quantity of the visual sensation of brightness (for example, a light that is described as "painfully bright") is not consistently related to a specific physical quantity of light (say, 10 watts of radiant power) or a specific perceptible quantity of light (say, as 6800 lumens). The 10 watts might arrive as "green" or "red" light, which will alter its apparent brightness; the 6800 lumens might be viewed as a flash of light in high photopic adaptation or in complete scotopic adaptation, which will alter its visual impact. Many other qualifications or unique circumstances are possible.

Again, context matters to visual perception. It is important to keep distinct the three conceptions of the stimulus — as physical quantities, as perceptible quantities, and as sensations — because a generalization based on one conception may not apply to the others. The colormaking attributes literally describe color sensations, and nothing else.

Even so, provided the contextual issues are appropriately limited or standardized, and within a generous allowance for measurement error and individual differences in visual capabilities, correlates or equivalents to the colormaking attributes can be computed from the physical or perceptible quantities of a stimulus. These form part of the color specification in nearly all modern color models.  

Brightness/Lightness. The first and most important colormaking attribute is the light or dark of a color as it appears in emitted or reflected light. This is perceived in two distinct ways:

Brightness refers to the relative sensation of light as emitted or reflected from a color area, given the current level of luminance adaptation. This is a sensory definition; it is weakly correlated with the perceptible luminance of the color area, as explained below.

Lightness refers to the brightness of a colored surface as a proportion of the brightness of an area perceived as "white" under the same illumination and light adaptation. This is also a sensory definition; it is strongly correlated with the physical measurement of the relative reflectance (luminance factor or albedo) of surfaces in comparison to the reflectance of a perfectly diffusing ("bright white") surface, within the photopic to high scotopic range of illuminance and given a wide range of different reflectances in the field of view.

For objects or surfaces, extremes of lightness are usually described as dark or black up to light or white; for self luminous areas (lights) the terms are faint or dim up to bright. The example below shows variations in the lightness of a dull (low chroma) middle blue hue.
 

differences in lightness
hue and chroma held constant

 
Lightness is associated with reflectance or average luminance factor judged against the reflectance of a white standard (diagram, right), and this contextual "white" anchor makes lightness a related color attribute. An arbitrarily defined "white surface" is actually the benchmark that is used to compute correlates of lightness from the measured luminance of illuminance of a colored surface. Perceptually, a "white" standard somewhere in view is not essential in order to see lightness differences; we usually have a secure sense of the amount of light falling on surfaces, and our luminance adaptation to the light, because of the variety of surface reflectances within a scene.  

Brightness and lightness are correlated with the luminance of a surface or light source. This means that brightness and lightness usually go up or down as the color luminance goes up or down, but whether and by how much depends on the viewing context. Let's first review the relationships among context factors and then summarize how they affect brightness/lightness perception. (An expanded version appears in color in the world.)
 

context factors creating the perception of brightness/lightness

 
We perceive physical environments because of the light incident on material surfaces, which depends on the source intensity or illuminance of the light source. The illuminance is the luminous intensity of the light source reduced by its distance from the illuminated surfaces. Averaged across all directly lit surfaces, this is the scene illuminance.

Illuminance is separate from the source image or luminance of the light source, which depends on the source intensity, its distance, and its visual size from our viewpoint. An extended, diffuse light source, such as an overcast noon sky or ceiling light panel, can provide substantial illuminance but, as a source image, appear very dim. This is because, at equal illuminance, luminance increases as the visual size of the source image gets smaller: an incandescent filament has much greater luminance than a light panel.

Environmental surfaces reflect more or less light depending on their surface reflectances. The combination of scene illuminance, shadows and surface reflectances defines the surface luminance range — the variations in the brightness of the physical enviroment. This is the anchor of luminance adaptation for two reasons: the luminance of surfaces is constant across distance (as with lights); and, for diffusely reflecting surfaces, luminance is not significantly affected by the angle of view or the angle of incident light.

Exactly how luminance adaptation occurs is not clear, but it apparently requires three simultaneous adjustments in the visual response: (1) a receptor gain adaptation to the average scene luminance (the adaptation gray, Lg,equivalent to a reflectance of about 13%), (2) a cognitive lightness anchoring that links the highest surface reflectance (no more than 5 times the adaptation gray) to the perception of "pure white" (the adaptation white, Lw), and (3) a perceptual expansion or contraction of the lightness range so that a surface presenting a luminance of about 1/5 of the adaptation gray is perceived as black (the adaptation black). As a result, color areas with luminances within the range Lw to 1/20Lw are perceived as objects varying in lightness, or color with some gray content.

The lightness range orphans many specific color areas that have greater luminance than the adaptation white, including areas of spot illumination (sunlight falling on the floor through a window), gloss or specular reflections, and secondary or primary light sources. These appear as lights varying in brightness, or color with some brilliance content. A stimulus darker than the adaptation black is invisible unless silhouetted against a lighter background, where it appears as a void. Brightness and lightness are both necessary to perceive the total range of luminances, from voids to source image, that can appear in physical environments.

Brightness perceptions are powerfully affected by the level of luminance adaptation and the luminance of the surrounding area. Lightness perceptions are remarkably consistent and stable, provided all surfaces are under the same illuminance; but lightness differences can be powerfully affected by the perceived spatial geometry of material surfaces and light sources, especially when these define the perception of average luminance, spot light and shadow.  

Within this general context description, the brightness/lightness of a color area depends on:

• Luminance adaptation. The visual adaptation to light intensity sets the perceptual boundary between surface lightness and light emitting brightness, and sensitivity to luminance differences within each range.

In most environments, the anchor for light adaptation is the average quantity of light reflected from surfaces — the scene luminance range — which is actually the reflected image of the scene illuminance. For both surfaces or lights of constant luminance, brightness decreases as light adaptation increases, and conversely brightness increases as dark adaptation increases. The lights and colors of a film appear dim as we enter the theater but brighten after our eyes become adapted to the dark, though there is no objective change in the luminance levels of the film. Even "gray" sidewalks or building walls have a high brightness, and automobile colors appear more vivid, as we exit the movie matinee, but these effects are muted as our eyes adjust to the light. In the same way, emitting lights appear to grow dimmer, whites appear brighter, surface colors appear more chromatic, and the contrast among whites, grays and blacks is greater, as scene illuminance increases, although these effects partially disappear as we adapt to the new illuminance level.

Under mesopic or scotopic vision (dark adaptation) we also experience a sensory change in the appearance of lightness: lightness contrast declines and "white" surface appears perceptually to be gray, as compared to the memory color of a white surface under photopic illumination. Under scoptopic vision only light emitting sources (such as the moon) appear perceptually as a "pure white".  

• Luminance Contrast. Lightness and brightness are local contrast judgments, not direct perceptions of light acting on the retina. So the relationship between a color's luminance and its perceived brightness or lightness is strongly affected by the visual context.

The key factor is relative luminance contrast. The light emitting or "brilliance" quality of brightness is perceived in color areas with 2 or more times the luminance of a white surround, or roughly 40 times the luminance of a dark gray or black surround. Lights appear brighter in relative darkness because of the substantially reduced surround luminance and lower luminance adaptation. And brightness contrast is increased if the brighter color area is made visually smaller, even when the contrasting color areas are surfaces of constant reflectance.

At night a flashlight appears "bright", and "brighter" than a candle, because the contrast is with a dark surround a dark adaptation; under a noon sun, both the candle and flashlight are invisible, because they produce a negligible luminance increase in relation to the average surface luminance and the eye's light adaptation. "Bright" also describes specular reflections that are visually much smaller than the source image, and surfaces whose luminance exceeds the current adaptation white due to spot illumination.  

The reverse is true for lightness: lightness contrast increases with increasing illuminance (the Stevens effect). More gradations of lightness become visible, and the visual contrast between lightness intervals appears greater; whites appear brilliant and darks appear deep black. Lightness contrast is quite pronounced under noon sunlight and becomes softened or muted at twilight. As illuminance decreases, the visual contrast between lights and surfaces becomes more extreme, and even very dim lights acquire brightness. Hence the filmmaker's trick of day for night, which creates the illusion of night by shooting daylight scenes under reduced exposure, darkening the image luminance and reducing the image contrast.
 

lightness equated with the proportion of light reflected

in comparison to a white surface under the same illumination

So long as the pattern of lights and darks on a surface remains the same, then lightness appears constant across changes in illuminance (diagram, right). This is because lightness perception only depends on surface reflectances (surface luminances) relative to each other or as a proportion of white. The black print in a book reflects about 10% of the incident light, and the white paper about 90%, defining a ratio of 1:9; these proportions and ratio do not change if the quantity of incident light (the illuminance) is increased or decreased, so the perceived lightness is constant.

A restricted range of luminance contrasts usually creates the lightness scale of grays. It is sometimes claimed that we cannot see the color "gray" in lights, but this is belied by the grays in the diagram at right, which are generated by the pixel sized lights in your computer monitor. We cannot see gray in lights viewed in isolation or as recognizable sources of illumination; the lights appear veiled or dim instead.

Lightness and brightness are complementary regions on the luminance dimension: normally lightness masks direct perception of brightness, and vice versa. The "blacks" in a television picture have the same absolute luminance (brightness) as the "gray" monitor screen when the television set is turned off: they produce a black color in the video image through contrast with higher luminance pixels around them.

Lightness is substantially affected by the contrast between a color area and its surround. The lightness of a color area can change, sometimes radically, depending on the lightness of surfaces that are visually next to or behind it (simultaneous contrast). In particular, a dark background or surrounding color will make a color area appear lighter; a light valued surround will make the color appear darker. A classic example is the full moon in either the day or night sky, which appears white although it is actually very dark (its albedo, equivalent to its reflectance, is 7%).  

Finally, as the "radiance" visible on surfaces or from the source image of lights, brightness signals a change (contrast) in illuminance or luminance across space, time or context. Relative luminance differences are perceived as constant lightness patterns across changes in illuminance, but they are perceptually compounded of a fixed quantity (reflectance) and a variable quantity (illuminance). In particular, brightness is the sensory token (the conscious attribute) for (1) a luminance perceived to exceed the lightness range, or (2) a illuminance change or contrast that requires an up or down adjustment in the perceptual interpretation of the luminance quantities associated with whites, grays and blacks. If illuminance is everywhere constant and equal across surfaces, and we have adapted to the scene illuminance, then we only perceive surfaces of different lightness; the perceptual quality of brightness is completely absent.
 

context differences between brightness (left) and
lightness (right)

Brightness becomes more salient than lightness when:

• the scene illuminance changes by a large amount (the sun comes from behind a cloud; we exit a movie theater)

• the local illuminance changes (we move an object from shadow to light, we turn on a desk lamp)

• there is a brighter or darker spot illumination on a surface (cast shadows, volume shadows, a beam of light on the floor)

• we see a surface reflection (the moon on water, the sun in an automobile windshield)

• we see a luminous color area against a dark surround, or a void within light reflecting surfaces.

In all these cases we see light as a distinct attribute that is more or less separate from surface.

As a result, perceptions of brightness do not allow a luminance match between surfaces that differ both in lightness (grays) and in local illuminance. For example, it is difficult to adjust an indoor spotlight illuminating a light gray paper so that the brightness of the paper matches the brightness of a dark gray paper in sunlight (diagram, right). The local judgments of relative luminance under local illumination override the global comparisons of absolute brightness. (See also the tiled cube example, below right.) However, these brightness matches are quite easy to do if only the color areas, without any surrounding cues of the scene illuminances, are visible through small apertures.
 

brightness comparisons across different grays and illuminances
are unreliable

• Spatial Interpretation. Relative lightness differences are greatly affected by the spatial or three dimensional interpretation of an image. This is because the angle of surfaces in relation to each other, and to the light source, determine the illuminance incident on the surfaces (which is less for surfaces at a more oblique angle to the light) and in particular the contrast between light and shadow.

In general, we see illuminated darks as darker than their actual reflectance, and shadowed lights as lighter than their actual reflectance. In the example (at right, top), the central "dark gray" tile on the illuminated side of the cube is the same monitor luminance and measured lightness as the "white" tiles on the shadowed side, which is evident when all other tiles in the form are removed (diagram, right, bottom).

The spatial interpretation of illumination differences between light and shadow, and the apparent match in of surface patterns on all sides of the object, obliterate a direct comparison of the brightnesses: again, lightness masks the perception of brightness. The tiles on the shadowed side are perceived to have a higher lightness because the visual system compensates for the effects of the virtual shadow.  

• Spot Illuminance. Finally, the brightness or lightness of surfaces depends on the continuity of the scene illuminance.

In most cases of spot illuminance (a local area of increased illuminance), the visual system registers the absolute increase in luminance as an increase in surface brightness. (Refer to this discussion for the distinction between relative and absolute luminance changes.) Similarly, a local are of reduced illuminance is perceived as a shadow. We don't see patches of sunlight through leaves as white spots on the ground; we see them as brighter versions of the same lightness visible in the surrounding shadows.

A surface can appear mysteriously darker or lighter than it normally appears if we cannot perceive the relative illuminance difference in a visual comparison. If we are sitting in a dark room, and see the sunlit asphalt pavement outside through a narrow opening in a curtain, the pavement can appear white or light gray rather than black. In the same way, a black paper hung in complete darkness and illuminated by a narrow beam of intense light will appear quite white, so long as nothing else in the room is visible. Its appearance snaps to black if a gray or white surface is also placed in the beam of light.

It is even possible to contrive situations in which the spot illuminance cannot be perceptually separated from the spatial definition of surface patterns or surface edges, or attributed to visible light sources or cast shadows in the scene. For example, a beam of light or shadowing form can be arranged so that the edges of the light or shadow corresponded exactly to the edges of a single white or black tile in a checkerboard floor. In that situation the discrepant surface luminance will appear as an isolated gray tile, or — if the spot illuminance change is large enough — as a square light source embedded in the floor, or as a square hole.

Terminology. Artists usually talk about a painting without concern for the lighting of the situation where it is viewed, and they interpret landscape values into paint values that will appear under different kinds of illumination. For those reasons, the related color judgment of lightness (or the artists' term, tonal value) is the concept to use when discussing works of art; brightness should be used to describe the landscape, studio or gallery lighting.  

Hue. This is the most familiar color attribute, the one that answers the familiar question, what color is it?

Hue is identified by a categorical basic color name such as red, yellow, green or blue; or a compound of two basic names such as yellow green; or a secondary color name such as orange. The example below shows several different hues of equal lightness and hue purity.
 

differences in hue
chroma and lightness held constant (colors of equal nuance)

 

lightness judgments affected by the spatial interpretation of light

the gray tiles have identical lightness (L = 60) in both images

Hue is usually associated with the average or strongest wavelengths in the light spectrum, regardless of the total range of wavelengths present in the stimulus (diagram, right). As the language categories for hue are imprecise and inconsistent, hue is often described by matching it to the color of a monochromatic light, denoted by its wavelength. This is called the dominant wavelength of the color: the dominant wavelength of yellow is 575 nm.

However, monochromatic lights change hue slightly if their brightness or chroma changes (as discussed here), and can shift substantially in contrast to other hues around them (as discussed here). So the match between a specific hue and a spectral wavelength is relative to the viewing context. That is, any color stimulus can be described by a dominant wavelength, but the dominant wavelength does not define the appearance of the color stimulus in all situations.

If many wavelengths are involved, the hue is determined as the average or geometric mean of all the wavelengths on a chromaticity diagram, not on the linear spectrum. That is, the hue created by a mixture of "red" and "violet" light (at the ends of the spectrum) is not green (in the middle of the spectrum) but purple (outside the spectrum, but between red and blue on a hue circle). For these extraspectral hues, the dominant wavelength is the complementary color ("green" monochromatic light) that exactly neutralizes the color mixture, denoted by a "c" placed before the wavelength number. The dominant wavelength of magenta is c530 nm.  

As this matching procedure implies, hues are limited to spectral (prism) colors and the extraspectral mixtures of spectral "red" and "violet" light. In English these hue names are magenta, red, orange, yellow, green, cyan, blue and violet or purple; compounds of these names such as blue violet or yellow green; and specific names for saturated colors such as scarlet, orange, chartreuse or turquoise.

Hue specifies the location of the color around the circumference of a hue circle, not any color location toward the center. Names of dull or muted colors such as white, gray, black, brown, maroon, pink, tan, gold, russet, olive and so forth do not describe spectral colors, and this rules them out as hue names, even though they may be appropriate answers to the question, what color is it?

Even so, artists should learn the correct hue designations for dull colors. "Brown" for example is technically a near neutral, dark valued orange with a dominant wavelength around 610 nm; "olive" is an dull, mid valued yellow with a dominant wavelength around 570 nm. You will never be comfortable describing your coffee as dark orange and your martini olive as dark yellow, but that is what they are; and accurately recognizing the hue of any surface color will help you to mix that color using a color wheel and to understand how the color is likely to change appearance under different types of lighting or from light to shade.

Hue is an attribute of both unrelated and related colors. We can easily identify the hue of traffic lights at any time of the day or night, and we can judge the hue of any surface provided that we know whether the illumination is bright or dim, and "white" or tinted.  

In general, apparent hue remains constant across wide changes in daylight illumination. In particular, changes in the sun's light from morning to afternoon, or in cloud cover, don't significantly affect hue perception. However, the contrast between similar hues, and their saturation, does appear to increase as illumination increases, and under dark adaptation (at night) hue perception in surfaces disappears, though we can see hue in lights (such as the planet Mars and distant traffic lights).

Reliable hue recognition can go awry in several unusual or extreme situations: (1) the surface is viewed without surrounding colors and without an accurate idea of the intensity and color of the light source; (2) the viewer has been adapted to one colored light source, and the illumination changes to another color or to white; (3) the hue is viewed in contrast to adjacent color areas of strongly different color and brightness; (4) the illumination has an intense (pure) color; (5) the spectral power distribution consists of a broken spectrum that emits only a few wavelengths or many wavelengths at very different intensities; (6) colors are viewed at extremely high luminance levels that saturate or overwhelm the photoreceptor cells; or (7) colors are viewed through a positive or negative afterimage.

Most of us are familiar with the grossly distorted automobile colors that appeared under yellow sodium vapor lights, or the dulling effect of fluorescent lights on reds and yellows. Abrupt changes in lighting color, for example when we step from daylight into the red light of a photographic darkroom or bar, produce especially inaccurate hue judgments. Color distortion is obvious in surface colors around sunrise or sunset, but this effect is familiar enough, and sufficiently minimized by discounting the illuminant, that it has a trivial effect on hue recognition.

Terminology. Artists use both unrelated and related color judgments to determine the paint mixtures needed to match colors in the environment. Related color judgments refer to the "true" or local color as it would appear on a normally lit surface (which is how artwork is typically displayed), even when we see the surface under unusual lighting conditions. Monet's advice, that the artist simply match the hue of a retinal color patch, means a painter should ignore local color and instead match the hue as it appears under the influence of any contextual factors.  

Hue Purity. The third and last colormaking attribute is the clarity or intensity of hue, again where hue has the limited meaning of monochromatic spectral colors and extraspectral mixtures.

Hue purity ranges from intense or highly chromatic for pure hue sensations to neutral or achromatic for completely colorless (white, gray or black) sensations. However it is common to find a very chromatic color (such as a "blue" monochromatic light) described as saturated, pure, bright, brilliant, rich, vivid, luminous or glowing, and an achromatic or near neutral color as unsaturated, impure, dirty, dull, dead, veiled, dark, pale, whitish or subdued.

The substantial overlap in the adjectives that describe chroma and brightness (and between both of them and the adjectives that describe vitality and intelligence) signifies the sensory and "moral" similarity between the two. However it is a parallelism rather than a polarity: chroma has its null state (gray) and brightness its null state (darkness). They are otherwise polar opposites: luminance is a broadband quality while chroma is targeted to spectral subunits; the most saturated possible hues, spectral lights, appear black if viewed as surface colors; and a strong luminance contrast by itself can produce both a high chroma and a luminance color perception.

The example below shows variations in the chroma of scarlet at constant hue and lightness.
 

differences in chroma
hue and lightness held constant

 
Hue purity is the most fascinating and problematic colormaking attribute. Whereas hue is an unambiguous percept that can be associated with a precise physical property (wavelength), and brightness is a somewhat complex percept associated with a precise physical property (radiance or luminance), hue purity is at once the most striking color property in its pure form and the property that is most difficult to define in terms of specific stimulus attributes. In fact, many definitions of hue purity are obtained as the residual dimension in a geometrical color model: hue purity is whatever remains after brightness and hue are accounted for.

For these reasons, hue purity has gone by many names — Sättigung, colorfulness, chromaticness, chroma, saturation, excitation purity, colorimetric purity, chromatic content, brilliance — each defined in relation to a specific stimulus attribute or color viewing situation. For now I use hue purity to refer generically to the vibrancy or intensity of a hue, but give the term a specific definition at the end of this section.

The three related definitions of hue purity current in the color research literature are:

1. Colorfulness is the attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic.

2. Chroma is the colorfulness of an area judged as a proportion of the brightness of a similarly illuminated area that appears white.

3a. Saturation is the colorfulness of an area judged as a proportion of its own brightness.

These perceptual definitions of hue purity, despite the obscurities, highlight the sibling relationship between hue purity and brightness as color sensations. This is an issue addressed when we consider the context factors that affect perceptions of hue purity.

Stimulus Definitions of Hue Purity. First, let's consider the physical side of color psychophysics: what is a good color stimulus definition of hue purity?
 

hue equated with the dominant
or "average" wavelengths of light

Start with lights. We know that the most saturated physical stimulus possible is single wavelength (monochromatic) light, and the least saturated physical stimulus possible ("white" light) is the approximately equal mixture of all wavelengths across the entire visible spectrum. So the logical first step is to define hue purity as the spectral breadth of the elevated part of an emittance curve: hue purity is the number of different wavelengths in the spectral power distribution of the light (diagram, right). By this principle, a low saturation color stimulus reflects or emits wavelengths across a large part of the spectrum. As wavelengths become concentrated within a single, narrow span of the spectrum, the color's hue purity increases; but as this happens, invariably, the brightness of the color area decreases.

The problem with the "wavelength purity" definition of hue purity is that the eye does not respond equally to the "breadth" of wavelength mixtures. The span of "red" wavelengths labeled "medium" in the diagram would appear just as saturated as a single wavelength of "orange" light, because the "red" wavelengths do not lose hue purity when mixed. In contrast, if the "medium" span of wavelengths were centered on the "yellow green" wavelengths, the resulting mixture would appear desaturated almost to "white". Emittance and reflectance curves do not represent these quirks of color perception, so hue purity cannot be inferred from the "wavelength purity" of the color stimulus.  

A second solution: define hue purity in terms of a standard light mixture. Hermann von Helmholtz, the 19th century surveyor of colormaking yardsticks, proposed that Sättigung was the proportional mixture of "white" and pure monochromatic light. This confines all hue purity measures to a single wavelength standard, creates a constant hue purity "ruler" (a mixing line between 0% at "white" and 100% at the pure spectral hue), and defines a practical method to manipulate hue purity in a color vision experiment (mix "white" and single wavelength lights of equal brightness). Best of all, this method matches an observer's experience of colored lights, which always appear to whiten as they are desaturated.

But on the perceptual side there is a fatal problem with Helmholtz's approach: spectral hues do not create equal sensations of hue purity. "Yellow" monochromatic lights have a whitish, pale color and a weak tinting strength when mixed with "white" light; "violet" monochromatic lights are dark, extremely intense, and very potent at tinting "white" light. These examples reveal that the perceptual mechanisms that define the sensation of hue purity are not anchored on the saturation range of lights. Some perceptual standard other than "spectral purity" is necessary for viewers to say that saturated "yellow" light, the most saturated yellow light possible, is still not very saturated.
 

hue purity defined as the
breadth of an emittance profile

Colorimetric Definitions of Hue Purity. We clarify these problems by turning to the chromaticity diagram of a uniform color space, for example CIELUV (diagram, right). This shows that the "yellow" to "red" spectral hues lie along a straight line, and therefore retain spectral hue purity when mixed; it shows that "green" spectral hues are bowed, which brings their mixture closer to the achromatic white point (WP). It also shows that the distance from the white point to the spectrum locus of "yellow" (Y) is quite small, indicating that the light appears pale or whitish; while the distance from the white point to spectral "blue violet" (B) is quite large, indicating that the light appears very intense. (Recall that these variations in spectral saturation arise in part because the overlap in cone fundamentals across the spectrum, and in part from the different proportions of cone types in the retina.)

So we have a third solution: hue purity is the chromaticity distance from the white point to the color in a chromaticity diagram, in which by definition all colors have equal luminance. This is an alternative definition of chroma in unrelated colors:

4. Chroma refers to the attribute of a visual sensation which permits a judgment of the amount of pure chromatic color present, regardless of the amount of achromatic color (CIE, 1982).

This is a sensible definition in terms of an established color model or color space, as it creates concentric circles of equal chroma centered on the white point (diagram, right); as brightness or lightness go up or down, the circles become concentric cylinders centered on the achromatic gray scale. But it is a peculiar peceptual definition: if color is salt and achromatic content is water, it amounts to saying that you can taste that there is one tablespoon of salt in a glass of water, a bucket of water, or a swimming pool. Indeed, as more "white" light is added to a stimulus of constant chroma, the saturation appears steadily diluted.  

In any case, we now see that Helmholtz's Sättigung points to yet another definition of hue purity that requires a color model for its measurement:

5. Excitation purity refers to the chroma of a color area judged as a proportion of the chroma of the monochromatic hue of the same brightness and dominant wavelength.

So the chromaticity plane or chromaticity diagram in a color model is used to define the chroma of the spectrum locus at a given luminance or lightness, and the chroma of the stimulus is divided by this hue specific quantity. As a result, excitation purity and chroma will yield very different estimates of hue purity, depending on the hue of the color (see diagram caption, above right).  

Context & Hue Purity. Unfortunately, a chromaticity diagram is a map of color sensations, a map that depends on the way we define receptor responses to light and on our assumptions about how cone outputs are combined and weighted in color perception. In short, we are still not talking directly about color perception, the psychological side of psychophysics.

This is a convenient pretext to shift the focus from lights to surface colors. Because in surface colors, hue purity is affected by absolute luminance and by relative luminance contrast: it is not a fixed property of a color stimulus but a relative property of the color viewed in a specific context.
 

chroma vs. excitation purity in the
CIE u'v' chromaticity diagram

colors C and c, or Y and y, have equal chroma but unequal excitation purity; colors Y, C and B have unequal chroma but equal (maximum) excitation purity

First, consider the absolute luminance of a color area. The diagram (right) illustrates the parallels between colorfulness/brightness and chroma/lightness. At low illuminance, a red color appears relatively dark and subdued, but as its luminance — the illuminance, for surfaces; the luminous intensity, for lights — is increased, the colorfulness of the color also increases (the Hunt effect). Colorfulness increases with increased color luminance, from very low to very high light levels. The Hunt effect combines with the Stevens effect to produce an overall impression of increased color vibrancy and contrast. Thus, a floral arrangement looks more colorful in sunlight than in shadow, and hawaiian shirts produce the best effect on sunny days.

However, across the normal range of photopic (daylight) vision (excepting extremely bright surfaces or lights), chroma and saturation are constant across changes in illuminance provided that all color areas in the scene are equally illuminated. This is embedded in the definition of chroma as the colorfulness of an area judged as a proportion of the brightness of a similarly illuminated white. As illuminance increases, the colorfulness increases, but so too does the brightness of a white area; the ratio between them remains constant. In the diagram (right), the surrounding black or white areas, which appear to be similarly dark and only slightly contrasted under low illuminance, become more highly contrasted under high illuminance (the Stevens effect); but the red also increases in colorfulness in relation to the brightness of white, and color contrasts increase to match the increased contrast across lightness gradations. The result is constancy of the chroma.

Next, consider the relative luminance contrast between the color area and its surround: increasing color luminance or decreasing surround luminance increases colorfulness, chroma and saturation. (This was studied by Ralph Evans under the rubric of brilliance.) The diagram below illustrates the basic effect.
 

luminance contrast effects on hue purity

 
In this example, which only hints at the actual impact of environmental luminance contrasts, the violet and magenta color areas each have a characteristic luminance (CIELAB lightness L*) at maximum chroma, as shown in relation to the adaptation white or black at left. Each color is shown (center) within a surround of matching lightness, and then (right) within a surround that is of a higher lightness (for the magenta) or of lower lightness (for the violet). Although the effect is small, you should see the violet in the darker surround as more saturated, and the magenta in the lighter surround as less saturated.

What's more, the contrast between a surface color and a brighter surround induces a quality of "blackness" in the color that does not appear in colors perceived as isolated lights or as surfaces brightly lit within a dark surround. Gray and some unsaturated "warm" colors (such as olive, brown or maroon) only live within the limited luminance contrasts that produce the appearance of blackened surface colors. Lights viewed against a dark background do not appear gray or brown but instead as dim white or orange lights.

In general, provided the color luminance remains constant, minimizing surround luminance increases colorfulness. Or, if the illumination on a color area is selectively increased while surrounding color areas are kept at reduced illumination, the colorfulness of the color area increases. This is a gimmick widely exploited in "tourist trap" art galleries: by illuminating individual paintings with tightly vignetted spotlights, in a gallery space that is otherwise dimly lit, the colorfulness and lightness contrast in the paintings is artificially increased.  

Now, it is possible to eliminate most or all of the distorting contrast effects in surface color displays by viewing them against an achromatic background of the same lightness. This yields a definition of saturation that is specific to surface colors:

3b. Saturation is the colorfulness of an area judged in relation to an achromatic (gray) area of equal lightness.

The robustness of this saturation as a perceptual judgment is that any perceptible difference between the color area and the surround is, by definition, entirely due to the colorfulness or chromatic intensity. Shown below is the original red chroma series against an achromatic background of matching lightness:
 

differences in saturation
hue and lightness held constant

 
Unfortunately, equating the brightness of monochromatic colors (heterochromatic brightness matching), or sorting Munsell color chips into their correct lightness (value) and chroma locations, are perceptually difficult tasks, where even practiced viewers can give inaccurate and inconsistent results. The reason is that hue purity appears as a kind of brightness. This is apparent in the red color series above: the intense red does not seem merely purer than the grayed colors, it seems brighter or glowing, as if hue contained a chromatic luminance.  

Brightness, Whiteness & Hue Purity. Finally, we can return to the three definitions of hue purity quoted above, and examine the specific color judgment they specify.

Colorfulness is (like brightness) an unrelated color attribute, and like brightness it is related to the luminance of the color. To judge hue purity, a viewer must be able to perceive the colorfulness and the brightness of a color area as distinct attributes.
 

perceptions of brightness in hue purity judgments

 
In the "colored light" example (above, left), a viewer can judge the saturation of a color viewed in isolation because brightness and colorfulness are distinct and unambiguous qualities of the color sensation. The color can be made brighter by adding white light or by increasing the source luminous intensity, and each has a different perceptible effect on the colorfulness — the whiteness is perceived as diluting the colorfulness.

In the "colored surface" example (above, right), colorfulness and whiteness are again distinct qualities of the color sensation, but its brightness is now problematic. What part of the chromatic luminance is due to the color's chromatic intensity, and what part to the illuminance or the absolute intensity of the incident light? To resolve the ambiguity, the viewer must judge the illuminance by viewing its undimmed reflection: this is the function of the "brightness of white" in the definition of chroma. The viewer takes the colorfulness of the color, and separately the brightness of the white, then combines these qualitatively different perceptions to judge the chroma of the color. (Implicitly, the white standard is only chosen after chromatic adaptation to light source, so that the effect of colored light on colored surfaces is also taken into account.)

As explained earlier, chroma is actually derived from the measurement conventions inherent in chromaticity diagrams (or tristimulus values), and the definition of chroma stated above is really a description of chroma measurement inherited from colorimetry, not a description of color perception.

However, we easily judge hue purity without a white standard, or even a gray standard, in view. We survey the relative luminances of neighboring surfaces and then anchor an environmental lightness scale within that context.

This process appears to depend on luminance contrasts (in lightness anchoring), on the spatial interpretation of the scene, and on memory color — so that, for example, one can adjust the brightness and contrast on a television image until it "looks right", regardless of whether the video image is of a sunny or cloudy day, in color or in black and white. We see through thousands of environmental variations in illuminance, as we walk from one room to another, look at objects close to or far from a window, perpendicular or slanted to the light, in light or in shadow.

Because relative lightness remains constant across changes in illuminance, a color's chroma (relative colorfulness) and saturation (chroma divided by lightness) also remain constant across changes in illuminance. The saturation of a surface in shadow is the same as its saturation in bright light.  

Optimal Color Stimuli. At this point we can address a new objective: whether it is possible to define a measure of hue purity that (1) applies specifically to surface colors rather than light mixtures; (2) is standardized on the maximum possible hue purity for any surface hue, luminance contrast or absolute illuminance level; and (3) has a verifiable perceptual validity, in the sense that colors determined to be at "maximum hue purity" really appear to be so. This can be achieved by using optimal colors as the perceptual standard of maximum hue purity.

Recall that the maximum hue purity for light colors is defined by a monochromatic light chosen from the spectrum locus at the dominant wavelength of the hue. Spectral lights are the most saturated color stimuli possible, which means the spectrum locus can be used to define the excitation purity of colors in a chromaticity diagram or in a Helmholtz Sättigung setup.

However, the maximum hue purity for surface colors has a very different perceptual status, because luminance contrasts are involved. As surface colors become more and more saturated, they eventually reach a point where the chromatic luminance no longer appears to increase: instead the color appears to glow or fluoresce and then, transform into a light. The basic form of color appears to change. This zero grayness boundary provides a useful benchmark for maximum hue purity.
 

context differences between colorfulness (left)
and chroma (right)

These perceptual boundaries, where surface colors reach the maximum possible hue purity without a fluorescent appearance, can be equated with optimal color stimuli or MacAdam limits (after David MacAdam, who developed the concept in 1935 from ideas advanced earlier by Rösch and by Schrödinger). These satisfy criterion 1, above.

Optimal color stimuli are not actual surfaces or color samples, but theoretical reflectance profiles that meet two requirements:

• reflectance is either 0% or 100% at every wavelength

• the transition from 100% to 0% reflectance (or the reverse) occurs no more than two times across the entire spectrum.

These profiles can take only three possible forms (diagram, right): (A) the color created by an isolated spike or block of reflectance inside the spectrum (which requires no arbitrary spectrum limits); (B) the color created by a block of reflectance at either end of the spectrum (which requires an arbitrary spectrum boundary in either the "red" or "violet" wavelengths); or (C) the color created by two cliffs at opposite ends of the spectrum (which requires arbitrary spectrum limits in both the "red" and "violet" wavelengths). In all cases, the width w represents the reflected wavelengths that define the luminance and chromaticity of the color area.

Note that no physical substance can absorb or reflect 100% of the incident light at every wavelength, so optimal color stimuli cannot exist as physical surfaces. But we've seen that hue purity is dependent on luminance contrast, so it possible to simulate the appearance of a MacAdam color in a surface or object (for example by illuminating a patch of highly saturated paint with a vignetted spot of intense white or chromatic light), and to use this optimal simulator to represent the physical standard of chromatic intensity in a perceptual color matching task. The MacAdam limits represent theoretical or ideal colors, but the perceptual boundary they represent is quite real (criterion 3, above).  

In all the idealized profiles the width w is arbitrary. This width affects the luminance factor of the surface (and therefore its perceived lightness) and its chromaticity (as a location in a chromaticity diagram). By incrementally increasing the width w in the reflectance curves, and incrementally moving each profile across the entire spectrum, a complete inventory of optimal color stimuli can be generated. These define the hue purity limits of surface colors at every hue and lightness (criterion 2). In the diagram below, the location of the optimal colors in the CIE u'v' uniform chromaticity scale diagram, for specific lightness levels, are connected across all hues to form optimal color boundaries.
 

optimal color boundaries for surfaces of different lightness
in the CIE UCS diagram; numbers indicate the lightness of colors at each boundary; from Perales, Mora, Viqueira, de Fez, Gilabert & Martinez-Verdu (2005)

 
The shrinking area of the boundaries shows that an increase in lightness causes a proportional decrease in the maximum possible chroma. A single reflected wavelength would represent less than 1% of the incident light and would appear extremely black — yet it is also the surface with the maximum possible hue purity! If all wavelengths are completely reflected, the surface will appear a bright, luminous white.

Note that hue alters the link between lightness and MacAdam limits. Hues in the circuit from green through blue, violet and magenta to red contract toward the equal energy white point (EE) roughly in proportion to lightness: any of these hues at 50% lightness is limited to a chroma that is roughly halfway between the white point and the spectrum locus. But this is not true for hues from yellow green through scarlet red: a yellow or orange can have the same hue purity as a spectral hue at any lightness from 0% to 70%. For object colors from yellow green through scarlet, hue purity is effectively uncoupled from lightness at moderate to low lightness values. This implies that it is perceptually possible to see a brown or ochre as an "intense" or "rich" color. (It also may indicate why the unsaturated color zones, which separate saturated from unsaturated colors based on lightness contrast alone, are perceptually important for these "warm" hues.)
 

optimal color stimuli

the three possible profile forms;
in each case the widths "w" can be
any size up to the total spectrum
width, and for "B" the width can
be from either end of the spectrum

As we're talking about surface colors, it is more meaningful to show the optimal color boundaries in a color appearance model designed for surface colors, for example the CIELA