Colour: The Carrier of Mood

White Balance: Deciding What White Is

Auto white balance pulls the frame back to neutral. What you wanted is often exactly the part that was not neutral.

Why colour temperature is a temperature, why white balance needs two axes rather than one, when AWB guesses wrong, and why "correct" white balance is frequently not the white balance you want.
Why colour temperature is a temperature, why white balance needs two axes rather than one, when AWB guesses wrong, and why "correct" white balance is frequently not the white balance you want. MHM55, 2024 · CC BY-SA 4.0 · Source

Different light sources are different colours. Candlelight is orange, midday sun is near white, light in shade is blue. The eye adapts on its own — a white page under a tungsten lamp still looks white to you. The camera does not, which is what the white balance setting compensates for.

But “compensate” already assumes a position. What this chapter is really trying to install is the question you ask on location:

What colour is the light here, and do I want to keep it or remove it?

Most frustration with white balance comes from treating it as a question with a right answer. It is not one — and the sooner it stops being one, the sooner the setting becomes useful rather than anxious. Everything below is either a mechanism that explains why the automatic answer goes wrong, or a way of deciding what you want instead.

Why colour temperature is a temperature

The unit puzzles people: what does the colour of light have to do with heat?

Everything, and literally. Put a bar of iron in a furnace and it glows dull red, then orange, then yellow-white, and hotter still it goes blue-white. Any heated body emits a spectrum determined by its temperature, and the hotter it gets the shorter the wavelengths it favours.

Which gives a convenient description: at what temperature would a blackbody glow closest to the colour of this source? That number is its colour temperature.

Two things follow.

  • It is an analogy, not a measurement. The sun’s surface really is near 5,800 K, which is a happy coincidence; but a 3,000 K LED bulb is cold to the touch. It merely looks like a blackbody at 3,000 K.
  • The numbers run against ordinary language. We call orange warm and blue cool, yet orange is the low number and blue the high one. Beginners get stuck here not because the physics is hard but because the words are fighting.
TemperatureSourceColour of the light
1800 KCandle, campfireVery orange
2700 KTungsten bulb, warm white LEDOrange
4000 KFluorescent, neutral white LEDGreenish white
5500 KMidday sunWhite
6500 KOvercastSlightly blue
8000 K and upShade, snowBlue

The camera setting is a counter-correction: set it to 2700 K and the camera adds blue to cancel the orange. Hence the practical mnemonic — raise the number and the photograph warms up; lower it and it cools down.

A hundred kelvin is not always a hundred kelvin

Something the scale hides: equal steps in kelvin are not equal steps in appearance. Moving from 2700 K to 2800 K is a visible change; moving from 8000 K to 8100 K is invisible. The scale is stretched at the warm end and compressed at the cool end, which is why the temperature slider feels oddly insensitive on blue scenes and twitchy on tungsten ones.

Film-era practice fixed this with the mired — a reciprocal unit, one million divided by the temperature. Equal differences in mireds correspond to roughly equal visible shifts anywhere on the scale, which is why conversion filters have always been rated in mireds rather than kelvin: a filter that shifts 130 mireds does the same perceptual work whether you point it at a bulb or at the sky.

The practical residue for a digital photographer is a rule of thumb: whatever precision you need at 3000 K, you need about seven times less of it at 8000 K. If you find yourself nudging temperature in tiny increments on a blue scene, you are almost certainly chasing something that is not visible.

Why there are two axes

Beyond temperature, the camera offers a second adjustment: green↔magenta. Most makers label it tint, or G↔M. Fujifilm does not provide that axis at all — its WB SHIFT has only R (red↔cyan) and B (blue↔yellow), so reaching magenta means moving both together. Whatever the interface calls it, this is not a refinement. It is necessary.

That heated-iron path traces a curve through colour space called the blackbody locus. Sun, bulbs and flames land on it or very near, so a single temperature describes them.

Fluorescent tubes and LEDs do not glow because they are hot. A fluorescent tube is ultraviolet striking phosphor; an LED is a semiconductor plus a phosphor conversion layer. Their spectra are a few spikes and some empty stretches rather than a smooth curve, and their colour falls off the locus, usually towards green.

With only the temperature axis you can never land: warm it up and the frame goes yellow-green, cool it down and it goes blue-green. The green never leaves. The second axis exists to pull it out.

This also covers a teaching point that cannot be photographed well. A green cast is intrinsically hard to find an example of — nobody sets out to photograph a defect, and a decade of supermarkets, hospitals and convenience stores re-lamping to well-corrected LED has made it rarer in the wild. So it goes in a table instead:

SourceApproximate temperatureDeparture from the locusWhat to do on location
Tungsten2700 KEssentially noneTemperature axis alone is enough
Older fluorescent3500–4500 KClearly greenSet temperature, then push tint towards magenta
Cheap LED3000–6500 KGreen or magenta, varying by makerTake a test frame and look at skin
Low-pressure sodium lampAbout 1700 KExtreme; nearly monochromaticNot correctable — accept it or convert
High-pressure sodium lampAbout 2000 KLarge, but the spectrum is broaderCorrectable to serviceable; do not expect accuracy
Overcast daylight6500 KEssentially noneOne axis is enough

The low-pressure row deserves a sentence. Its spectrum is essentially one narrow spike, so the information about other colours was never in the scene to begin with. No amount of white balance recovers it, because there is nothing to recover. This is the dark side of the metamerism from chapter eleven: when the three channels receive no information, every later adjustment is guesswork. Newer high-pressure sodium and LED street lighting is nowhere near as extreme and does respond to correction — so the severity of this rule changes from one junction to the next.

Two readings in one frame

Tree shadows on a snow slope. The value of this frame is that snow is white — so whatever colour the snow appears, that is the colour of the light. Sunlit snow reads near neutral; snow in shadow reads distinctly blue-violet. One frame, one exposure, two entirely different temperature readings.
Tree shadows on a snow slope. The value of this frame is that snow is white — so whatever colour the snow appears, that is the colour of the light. Sunlit snow reads near neutral; snow in shadow reads distinctly blue-violet. One frame, one exposure, two entirely different temperature readings. MHM55, 2024 · CC BY-SA 4.0 · Source

It demonstrates something easy to miss: “the colour temperature of this scene” is frequently a thing that does not exist.

Why is shadow blue? Because objects in shadow are not unlit — they are merely out of the sun. What lights them is the entire blue sky, an enormous source above 8,000 K. Shadow on a clear day is blue not because it is cold but because it is lit by something blue.

Two consequences. Portraits made in open shade get their subject sitting in natively cool light while skin stays warm — the warm-cool separation of the last chapter, handed to you free. And whenever a frame contains both sunlight and shadow, no single white balance value can satisfy both. You are choosing a side.

The two ways auto white balance fails

AWB is accurate most of the time. When it does something you did not want, it is usually one of these.

First: the scene genuinely is one colour.

Sunset. AWB sees a frame full of orange, is likely to decide it is a cast in need of correction, and pulls towards blue — washing out half the colour you travelled for. Setting Daylight manually lands closer to what you actually saw.
Sunset. AWB sees a frame full of orange, is likely to decide it is a cast in need of correction, and pulls towards blue — washing out half the colour you travelled for. Setting Daylight manually lands closer to what you actually saw. User:Wilfredor, 2007 · CC0 · Source

AWB works roughly by assuming the whole frame should average to neutral grey. That assumption holds surprisingly well in ordinary scenes and misfires regularly whenever one colour dominates the frame — sunsets, autumn foliage, blue hour, a field of grass, underwater. This is not a poorly written algorithm; the assumption itself contradicts those scenes. Recent bodies add scene recognition to compensate, and will sometimes identify a sunset and deliberately keep the orange — but that is one layer of guessing stacked on another, and you cannot predict which way it will go this time.

Beside a campfire. Low-temperature light lands on a face, hair, an arm and clothing, and stains the rim of the fire pit as well. What to look at is not the flame but the colour of firelight **after it has arrived on a person** — that is the actual subject when photographing a fire. Let AWB neutralise this and all that remains is a white blob in a lot of black.
Beside a campfire. Low-temperature light lands on a face, hair, an arm and clothing, and stains the rim of the fire pit as well. What to look at is not the flame but the colour of firelight **after it has arrived on a person** — that is the actual subject when photographing a fire. Let AWB neutralise this and all that remains is a white blob in a lot of black. Bonnie U. Gruenberg, 2018 · CC BY-SA 4.0 · Source

Second: mixed sources.

Tungsten orange inside the windows, blue-hour blue outside. The two cannot both be correct — you pick one and let the other drift. And that drift is usually the reason a picture like this works.
Tungsten orange inside the windows, blue-hour blue outside. The two cannot both be correct — you pick one and let the other drift. And that drift is usually the reason a picture like this works. Ed Yourdon from New York City, USA, 2010 · CC BY-SA 2.0 · Source

Mixed lighting has a one-line policy: serve the people first. If there is a person in frame, set white balance so that skin looks right and let the rest drift; viewers attribute the remaining cast to the room. Skin is one of the memory colours from chapter eleven and nobody forgives it being wrong. Nobody notices a blue wall.

There is no correct, only what you want

Technically correct white balance renders a neutral object as neutral. But photography is not measurement.

  • Photograph a sunset and you want the orange.
  • Photograph snow at dawn and the blue is what makes it feel cold.
  • Photograph a candlelit dinner and the warmth is the atmosphere.

Treat white balance as a creative dial, not a calibration tool. Put differently: the question is not what white is here, but what kind of light the viewer should feel they are standing in.

A useful compromise in practice is correcting halfway. If the scene runs 800 K warm, pull back 400 K — the light keeps its character without becoming thick enough to read as a mistake. Viewers are surprisingly good at telling deliberate warmth from a forgotten setting, and the boundary sits about there.

Measuring instead of guessing

Three methods remove the judgement entirely.

Find something in frame known to be neutral. A white wall, concrete, asphalt, a white car, newspaper. Click it with the eyedropper afterwards and the temperature is settled. Free, provided the thing really is neutral — cream walls and warm-toned concrete will lie to you, and in a direction you have no way of knowing.

A grey card. One frame containing the card under the same light becomes the reference for the whole set. The most reliable option; the cost is carrying it and reshooting whenever the light changes.

The camera’s custom white balance. Photograph a white sheet and let the body compute the correction. On Fujifilm, CUSTOM 1/2/3 sits below the three AUTO entries and above COLOR TEMPERATURE — not at the end of the list, where people tend to look for it. Fastest of the three, but it bakes the result into a number, leaving only fine adjustment later unless you also recorded RAW.

Worth knowing: Fujifilm’s AUTO is really three modes, and many people have never checked which they are using.

ModeHow it decidesSuits
AUTOA balanced compromise across scenesThe default, for anything
AUTO WHITE PRIORITYDrives white objects harder towards pure whiteClean, neutral documentation
AUTO AMBIENCE PRIORITYDeliberately preserves the warmth of the ambient lightInteriors, candlelight, atmosphere

The third is this entire chapter turned into a button: it does not correct warmth, it keeps it. If AWB has been washing the mood out of your interiors, switching to it usually settles the matter.

Six common symptoms and their causes

  1. Interiors come back orange and faces look ill → daylight balance used under tungsten or warm LED, or AWB dragged off by a large warm area → set 2800–3200 K manually; if window light is also present, favour skin and correct halfway.
  2. Skin looks right but a green layer sits over everything → the source is off the blackbody locus and the temperature axis cannot reach it → move towards magenta: one to three steps on the tint axis if your body has one, or on Fujifilm R and B together, one to three steps positive on each.
  3. Snow photographs grey and blue → two problems stacked: metering pulled down by a bright field (exposure) and shadow lit by blue sky (white balance) → apply +1 to +2 EV first, then decide how much blue to keep.
  4. The sunset is far paler than it looked → AWB treated the dominant colour as a cast → switch to fixed Daylight; in RAW you can also pull it back afterwards.
  5. Consecutive frames of one situation jump in colour → AWB re-decides every frame and the dominant colour’s share changes as you recompose → lock a fixed value for the whole set, which matters especially for work meant to be shown as a series (chapter sixteen).
  6. However you grade it, one area stays wrong → mixed sources needing different values in different regions → correct one region properly and treat the other locally; or accept that it cannot be saved and convert, which makes the problem vanish (chapter ten).

White balance used to be something you bought

That white balance is a menu item is a very recent development. In the film era it was decided when you bought the film.

A colour emulsion had to be balanced for one temperature, and essentially two existed: daylight film at about 5500 K and tungsten film at about 3200 K. Buy wrong and the whole roll was wrong.

Converting between them meant putting glass in front of the lens. Kodak’s Wratten numbers are still in use: 80A is blue, letting daylight film work under tungsten; 85B is amber, letting tungsten film work outdoors. These filters cost light — about two stops for the 80A, about two-thirds of a stop for the 85B — so correcting white balance was paid for in shutter speed.

Two things follow from that history. The number 5500 K is an artefact of that period — an average of temperate midday sun, not a physical constant; the little sun icon in your menu inherits a Kodak specification. And the colour of your curtains and lampshades counts, which is why film-era studios cared about wall colour: bounced light arrives carrying the colour of whatever bounced it. Digital did not repeal this, it only made small amounts of it repairable — and not when it lands on a face.

Understanding this explains the shape of the presets: there are six or seven of them rather than a continuum because they are fossils of film and filter combinations.

Where RAW and JPEG differ most

White balance is one of the few settings a RAW file leaves entirely open. RAW records the sensor’s values and white balance is a tag; changing it later costs nothing.

But working the Fujifilm straight-out-of-camera way — the reason many people buy Fujifilm — makes it a decision at capture, interacting with the film simulation. The next part covers that in detail.

Practical suggestion: record RAW + JPEG together. The JPEG gives immediacy, the RAW keeps a door open. Both the X-T5 and the X-E4 will do it.

One exception is worth knowing: extreme sources — sodium, underwater, single-colour LED — are not rescued by RAW either, for the reason in the table above. RAW protects your right to decide later; it does not manufacture information that was never recorded.

White balance shift

Beyond temperature, Fujifilm offers a two-axis shift: red↔cyan (R) and blue↔yellow (B), ±9 steps each. These axes are Fujifilm’s own — Canon, Nikon and Sony use amber↔blue and green↔magenta instead, so shift values found online cannot be copied across brands. This is for fine styling, not for correction.

  • A touch towards cyan (R −1 or −2) → cleaner skin with less red
  • A touch towards blue (B +1) → cooler shadows, pairs well with Classic Chrome
  • Towards yellow (B −2) → a little more daylight warmth

It lives under IMAGE QUALITY SETTING → WHITE BALANCE; choose a mode, then press MENU/OK to reach the shift grid. The shift is remembered per white balance mode — what you set for AUTO does not apply to DAYLIGHT, which regularly convinces people the setting did not take. Chapter twenty-one puts it to work.

A table for the field

What you seeHow to set itWhy
Sunset, autumn colour, blue hourFixed Daylight, never AUTOAWB reads the dominant colour as a cast
A portrait in open shadeShade, or about 7000 K manuallyThe source is sky, not sun; some blue left in is an asset
Mixed indoor lightFavour skin, correct halfwaySkin is a memory colour; walls are not
Fluorescent or cheap LEDSet temperature, then push towards magenta (on Fujifilm, R and B together)The source is off the blackbody locus
Low-pressure sodium, underwaterStop fighting; consider black and whiteThe information was never recorded
A set to be published togetherLock one value for the whole setAWB jumps frame to frame and the set reads as noise

Further watching

  • The Color Temperature Paradox

    minutephysics · 4 min

    Why this one The two things this chapter opens with — why light colour is measured in degrees of temperature, and why turning the number up makes the picture warmer — are both settled in four minutes of animation here. At 0:32, photographic light sources were historically things heated until they glowed. At 0:48, the everyday words run opposite to the physics. At 1:49 a chromaticity diagram shows that fluorescent tubes and LEDs do not glow by being hot, so their colour sits off to the green or magenta side and one Kelvin number cannot describe them — this chapter’s "why white balance has two axes". 2:04–3:04 takes the reverse compensation apart and points a phone at the same drawing so you can see an overcooked setting. His conclusion is this chapter’s sentence: the setting should really be called colour temperature compensation. From 3:34 it is a Brilliant sponsor spot, about a fifth of the running time.

  • White Balance: My (slightly odd) Approach

    Sean Tucker · 20 min

    Why this one This chapter says white balance is not asking what white is here, but what light the viewer should feel they are standing in. This video is one photographer who has treated that as a discipline for years: every camera he owns is locked at 5500 K and never moves. From 1:40 to 5:00, with a sheet of paper, a pen and a hand-painted warm-to-cool strip, he shows how placing the white point decides which way everything else leans. From 5:50 come four worked examples — a tungsten-lit chip shop, blue hour at Whitby, an orange streetlight silhouette in mist, a pub window in London — and for each he simulates what auto white balance would have neutralised. At 9:09 you get this chapter’s "correct it halfway": the pub frame is too orange for him, so he pulls 5500 back to about 4200 rather than to neutral. From 13:06 to 14:57 he lists where his own approach fails — when you need colour separation, at weddings, and for portraits that need accurate skin. Two costs: 10:11–11:45 is about lighting his own video and has nothing to do with stills, and from 17:03 there is roughly two and a half minutes of magazine, workshop and Squarespace.