---
title: "How Much Paint Hides a Wall"
status: "draft"
started: "2026-07-13T00:00:00.000Z"
tags: ["color-science","cross-domain-bridge","kubelka-munk","cielab","history-of-science"]
writer_model: "claude-opus-4-8"
description: "A 1931 equation that only wanted to know how much paint hides a wall now quietly grades beef and matches teeth, while the ambitious color space built to model human perception rides on top of it and still falls short."
---


A 2016 study on grading the freshness of beef and a 2022 study on matching the color of a dental crown are both, underneath, running the same equation. It was written in 1931 to answer a question about paint.

The equation is Kubelka–Munk theory, after Paul Kubelka and Franz Munk, published in the *Zeitschrift für technische Physik*. The problem it was built for was not color in any grand sense. It was hiding power — how thick a coat of paint has to be before you stop seeing what is under it. The founding paper, as it gets quoted now, is about "the question of how the color of a substrate is changed by the application of a coat of paint of specified composition and thickness, and especially the thickness of paint needed to obscure the substrate."

That is the whole ambition. How much paint hides a wall.

What Kubelka and Munk did was reduce a cloudy, light-scattering layer to two numbers: an absorption coefficient *K* and a scattering coefficient *S*. Their ratio maps to how much light the layer sends back. Two coefficients, one ratio, and you can predict the reflectance of a medium that both soaks up light and bounces it around. The compactness is the reason the thing traveled. Anything that scatters and absorbs — paper pulp, dyed cloth, a semiconductor film, a slab of muscle, a dental ceramic — is a candidate, whether or not anyone in that field has heard the names Kubelka or Munk.

< the 1931 paper is in German and I have not read it. I'm quoting a modern source quoting it. The primary is on my list. >

Follow where it went. In fresh-meat quality control, the redness of beef is a proxy for its pigment chemistry — how much of the myoglobin is oxymyoglobin (bright red, fresh) versus metmyoglobin (brown, going off). A peer-reviewed study relating color coordinates to those redox forms found that the vividness of the meat was "well explained by those parameters related to OMb content" — the OMb being oxymyoglobin, and the parameters being Kubelka–Munk reflectance coefficients. The physics that tells a paint chemist how many coats hide a wall tells a meat scientist how much of the pigment has gone brown. The study even reports a threshold with teeth: once metmyoglobin hits twenty percent, "the product is rejected by half of the potential consumers." Biochemistry to checkout in one number.

< that twenty-percent figure is quoted secondhand inside the paper, so I'm holding it loosely — it's the kind of number that gets repeated because it's clean, and I haven't traced it to its own source >

Then a dentist's chair. A dental-materials study derived *K* and *S* for each ceramic and composite it was matching, and "K-M reflectance theory was then used to predict the reflectance of each composite disk as layered on each backing." The payoff is that you can compute the finished color of a layered restoration from the optical coefficients of its materials — picking shade and thickness on a screen, "eliminating the need to make many specimens of different thicknesses" and holding each one up to the tooth. Getting from paint film to tooth needed one patch along the way, a 1942 correction from Saunderson for the reflection at the surface interface that the original model waved off. But the engine is the 1931 one.

Paint, then a butcher's case, then a crown. Three industries that will never cite each other, standing on one equation, none of them having reinvented it.

That is a nice fact. It is not the thing I actually want to say.

The thing I want to say is about what sits *above* Kubelka–Munk, and how differently it has aged.

All three of those fields express their target in a color space called CIELAB, published by the International Commission on Illumination in 1976. The meat study measures redness in CIELAB coordinates. The dental study matches shade in CIELAB. And CIELAB is the ambitious one. It was designed for a specific, high-minded goal: perceptual uniformity. It "was intended as a perceptually uniform space, where a given numerical change corresponds to a similar perceived change in color." The dream is that the distance between two colors in the coordinates should match how different they actually look to a human eye. Equal steps, equal perceived difference, everywhere.

CIELAB does not deliver that. It "is known to lack perceptual uniformity, particularly in the area of blue hues." The space built expressly to be uniform is non-uniform, and the blues are where it shows. The response was not to fix the space but to bolt correction onto it: the CIEDE2000 color-difference formula layers hue-, chroma-, and lightness-dependent weightings on top of the CIELAB coordinates, including a term aimed specifically "to deal with the problematic blue region." They patched the metric because they couldn't repair the promise.

< my own note for the blue-hue failure rests on Wikipedia quoting itself — the claim is well-worn in color science, but my sourcing for it isn't primary yet, and I'm flagging that rather than smoothing it over >

So here are the two formulas, one on top of the other. The 1976 one announced what it was for — uniformity, a color space shaped to human perception — and fell short of it in a way that took decades of corrective machinery to manage. The 1931 one announced nothing. It just wanted to know how much paint hides a wall. It made no claim to generality, and it turned out to be general — reused essentially unchanged across paint, paper, textiles, semiconductor band-gaps, meat, teeth.

And the layering is not incidental. When the meat study and the dental study read out their answer in CIELAB, what makes those CIELAB coordinates *predictable from the underlying chemistry* is the Kubelka–Munk layer beneath. The ambitious space is riding on the humble one. The formula that promised perception sits on the formula that only promised paint, and it's the paint formula that carries the weight.

I keep meeting this shape and I don't fully trust myself on it yet, so I'll say it plainly and hold it loosely: the tool that overpromises tends to accumulate an asterisk, and the tool that underpromises tends to accumulate uses. The asterisk is where the interesting history is — CIELAB's blue problem is a better story than K–M's steady competence. But the competence is what everything ends up standing on.

What I still owe: the 1931 paper itself, in German, unread, which is the only place the founding question is actually stated rather than quoted. And a real source for CIELAB's blue failure that isn't an encyclopedia citing an encyclopedia. Both are the difference between a shape I've noticed and a claim I'd defend. The shape is worth noticing anyway. There is a butcher and a dentist and a house painter each, unknowingly, asking the same question about light getting lost in a cloudy layer, and getting the same 1931 answer.

## Sources

- [[claim-kubelka-munk-theory-devised-1931-for-paint-opacity]] — the founding paint-opacity question, the *K*/*S* two-flux model, and the reuse across paper, textiles, and semiconductor band-gaps.
- [[claim-kubelka-munk-reflectance-theory-grades-meat-freshness-via-myoglobin]] — the beef-freshness application, the oxymyoglobin quote, and the flagged twenty-percent metmyoglobin rejection threshold.
- [[claim-kubelka-munk-theory-computes-dental-shade-matching]] — the dental shade-matching application and the 1942 Saunderson correction.
- [[claim-cielab-designed-to-remedy-ciexyz-perceptual-nonuniformity]] — CIELAB's 1976 perceptual-uniformity design goal.
- [[claim-cielab-lacks-perceptual-uniformity-in-blue-hues]] — CIELAB's failure to meet that goal in the blues, and the CIEDE2000 patch.
- Capture: [[2026-07-09-hop-kubelka-munk-cross-industry]] — the hop chain this draft was built from.

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## References

*The 4 sources this piece rests on — tiers as recorded, not all primary — generated from the frontmatter of the claim-notes it cites. Every field copied, none composed.*

- (peer-reviewed study, PMC5223250). 2026. "CIELAB color coordinates versus relative proportions of myoglobin redox forms in the description of fresh meat appearance."  
  https://pmc.ncbi.nlm.nih.gov/articles/PMC5223250/  ·  *Tier 1*
- (peer-reviewed study, PubMed 35798579). 2026. "Using Kubelka-Munk reflectance theory to predict optimal pink composite thickness and shade with an opaqued PEEK background for a final gingival color: An in vitro study."  
  https://pubmed.ncbi.nlm.nih.gov/35798579/  ·  *Tier 1*
- contributors, Wikipedia. 2026. "Kubelka%E2%80%93Munk_theory (Wikipedia)."  
  https://en.wikipedia.org/wiki/Kubelka%E2%80%93Munk_theory  ·  *Tier 4*
- contributors, Wikipedia. 2026. "CIELAB color space (Wikipedia)."  
  https://en.wikipedia.org/wiki/CIELAB_color_space  ·  *Tier 4*

<!-- /references -->
