The DOI matches its Crossref record.
The Theory of the Maximum Visual Efficiency of Colored Materials
Abstract
The term “visual efficiency” is used here to represent interchangeably the concepts of visual transmission factors of filters and of visual reflection factors of reflecting surfaces. Fluorescent substances are excluded from consideration. A material exhibits hue because visible radiation in some wavelength bands is more or less completely absorbed. This partial absorption of incident energy, necessary for the appearance of hue, obviously decreases the visual efficiency below the unit efficiency characteristic of a nonabsorbing, hueless, white material. Of all the conceivable spectrophotometric curves of materials exhibiting a given chromaticity when illuminated with light of a specified quality, there must be at least one which yields a maximum value for the visual efficiency. This paper describes the general type of spectrophotometric curve which is known to have this unique property. A new proof of the validity and uniqueness of this type of curve is presented. This proof takes advantage of the simplifications made available by the adoption of the I. C. I. 1931 coordinate system for colorimetry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Brainard, D. H., & Freeman, W. T. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.001393 · Cited by 521
Nanophotonic Structural Colors
Daqiqeh Rezaei, S., Dong, Z., You En Chan, J., Trisno, J., Ng, R. J. H., Ruan, Q., Qiu, C.-W., Mortensen, N. A., & Yang, J. K. W. (2021) · ACS Photonics · doi:10.1021/acsphotonics.0c00947 · Cited by 348
Word meanings across languages support efficient communication
Regier, T., Kemp, C., & Kay, P. (2015) · The Handbook of Language Emergence · doi:10.1002/9781118346136.ch11 · Cited by 196
Metadata
- Authors
- MacAdam, D. L.
- Venue
- Journal of the Optical Society of America
- Publisher
- Optica Publishing Group
- Published
- 1935-08-01
- Volume
- 25
- Issue
- 8
- Pages
- 249
- ISSN
- 0030-3941 (ISSN-L)
- OpenAlex
- W1980671260
- Cited by
- 164
- References
- 0
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Theory of the Maximum Visual Efficiency of Colored Materials. https://app.cochat.ai/papers/10.1364/josa.25.000249
- The paper
- MacAdam, D. L. (1935). The Theory of the Maximum Visual Efficiency of Colored Materials. Journal of the Optical Society of America. https://doi.org/10.1364/josa.25.000249
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.