IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v415y2002i6872d10.1038_415637a.html
   My bibliography  Save this article

Influence of scene statistics on colour constancy

Author

Listed:
  • Jürgen Golz

    (University of Kiel)

  • Donald I. A. MacLeod

    (University of California at San Diego)

Abstract

The light reflected from an object depends not only on the surface properties of this object but also on the illuminant. The same is true for the excitations of the photoreceptors, which serve as the basis for the perceived colour. However, our visual system has the ability to perceive constant surface colours despite changes in illumination1. The average chromaticity of the retinal image of a scene depends on the illumination, and thus might be used by the visual system to estimate the illumination and to modulate the correction that subserves colour constancy2,3,4. But this measure is not sufficient: a reddish scene under white light can produce the same mean stimulation as a neutral scene in red light. Higher order scene statistics—for example, the correlation between redness and luminance within the image—allow these cases to be distinguished. Here we report that the human visual system does exploit such a statistic when estimating the illuminant, and gives it a weight that is statistically appropriate for the natural environment.

Suggested Citation

  • Jürgen Golz & Donald I. A. MacLeod, 2002. "Influence of scene statistics on colour constancy," Nature, Nature, vol. 415(6872), pages 637-640, February.
  • Handle: RePEc:nat:nature:v:415:y:2002:i:6872:d:10.1038_415637a
    DOI: 10.1038/415637a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/415637a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/415637a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Codruţa Dura, 2018. "Completely Randomized Design of a Marketing Experiment," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 18(1), pages 67-76.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:415:y:2002:i:6872:d:10.1038_415637a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.