Evidence map›Paper›PMID 22079116›Full record

ArticleCurrent biology : CB2011

The dynamic range of human lightness perception.

Ana Radonjić, Sarah R Allred, Alan L Gilchrist, David H Brainard

Abstract read
In one paragraph

Article in Current biology : CB, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
  2. Topography of Photophobia: Perifoveal Sensitivity Associations in Glaucoma.Investigative ophthalmology & visual science · 2026
    Article
  3. Article
  4. Article
  5. Parabolic achromatic color matching functions: Dependence on incremental and decremental luminance.Journal of the Optical Society of America. A, Optics, image science, and vision · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Layer and framework theories of lightness.Attention, perception & psychophysics · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ana RadonjićDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA. radonjic@sas.upenn.edu
Sarah R Allred
Alan L Gilchrist
David H Brainard

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Geoffrey Karl Aguirre · 1985 to 2026
$19.5M
R25 IMSD Minority Biomedical Research Support Program (MBRS)R25GM096161 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI KOMISARUK, BARRY RICHARD · 2011 to 2020
$6.2M
COLOR CONSTANCY--REAL IMAGES AND EARLY VISUAL MECHANISMSR01EY010016 · NEI · UNIVERSITY OF PENNSYLVANIA · PI BRAINARD, DAVID H. · 1998 to 2018
$5.4M
METABOLISM OF GLUTAMATE IN RETINAR01EY010015 · NEI · OAKLAND UNIVERSITY · PI WINKLER, BARRY S. · 1994 to 2003
$1.3M
NEI NIH HHS P30 EY001583NEI NIH HHS P30 EY1001583NEI NIH HHS R01 EY010016NEI NIH HHS R01 EY10016NEI NIH HHS R01 EY10016S1NIGMS NIH HHS 1R25GM096161-01NIGMS NIH HHS R25 GM096161
6 · The paper itself

Abstract

Natural viewing challenges the visual system with images that have a dynamic range of light intensity (luminance) that can approach 1,000,000:1 and that often exceeds 10,000:1 [1, 2]. The range of perceived surface reflectance (lightness), however, can be well approximated by the Munsell matte neutral scale (N 2.0/ to N 9.5/), consisting of surfaces whose reflectance varies by about 30:1. Thus, the visual system must map a large range of surface luminance onto a much smaller range of surface lightness. We measured this mapping in images with a dynamic range close to that of natural images. We studied simple images that lacked segmentation cues that would indicate multiple regions of illumination. We found a remarkable degree of compression: at a single image location, a stimulus luminance range of 5,905:1 can be mapped onto an extended lightness scale that has a reflectance range of 100:1. We characterized how the luminance-to-lightness mapping changes with stimulus context. Our data rule out theories that predict perceived lightness from luminance ratios or Weber contrast. A mechanistic model connects our data to theories of adaptation and provides insight about how the underlying visual response varies with context.

Indexed as

Contrast SensitivityLightVisual PerceptionCuesHumansLightingModels, NeurologicalPattern Recognition, VisualPhotic StimulationVision, Ocular

Identifiers

PMID22079116
PMCPMC3244211

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.