Literature DB >> 26641948

What is white?

J M Bosten, R D Beer, D I A MacLeod.   

Abstract

To shed light on the perceptual basis of the color white, we measured settings of unique white in a dark surround. We find that settings reliably show more variability in an oblique (blue-yellow) direction in color space than along the cardinal axes of the cone-opponent mechanisms. This is against the idea that white perception arises at the null point of the cone-opponent mechanisms, but one alternative possibility is that it occurs through calibration to the visual environment. We found that the locus of maximum variability in settings lies close to the locus of natural daylights, suggesting that variability may result from uncertainty about the color of the illuminant. We tested this by manipulating uncertainty. First, we altered the extent to which the task was absolute (requiring knowledge of the illumination) or relative. We found no clear effect of this factor on the reduction in sensitivity in the blue-yellow direction. Second, we provided a white surround as a cue to the illumination or left the surround dark. Sensitivity was selectively worse in the blue-yellow direction when the surround was black than when it was white. Our results can be functionally related to the statistics of natural images, where a greater blue-yellow dispersion is characteristic of both reflectances (where anisotropy is weak) and illuminants (where it is very pronounced). Mechanistically, the results could suggest a neural signal responsive to deviations from the blue-yellow locus or an adaptively matched range of contrast response functions for signals that encode different directions in color space.

Mesh:

Year:  2015        PMID: 26641948      PMCID: PMC4675320          DOI: 10.1167/15.16.5

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  59 in total

1.  Relative area and relative luminance combine to anchor surface lightness values.

Authors:  X Li; A L Gilchrist
Journal:  Percept Psychophys       Date:  1999-07

2.  Changes in colour appearance following post-receptoral adaptation.

Authors:  M A Webster; J D Mollon
Journal:  Nature       Date:  1991-01-17       Impact factor: 49.962

3.  Color and luminance information in natural scenes.

Authors:  C A Párraga; G Brelstaff; T Troscianko; I R Moorehead
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1998-03       Impact factor: 2.129

4.  No difference in variability of unique hue selections and binary hue selections.

Authors:  J M Bosten; A J Lawrance-Owen
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-04-01       Impact factor: 2.129

5.  A multi-stage color model.

Authors:  R L De Valois; K K De Valois
Journal:  Vision Res       Date:  1993-05       Impact factor: 1.886

6.  Isolation of the middle- and long-wavelength-sensitive cones in normal trichromats.

Authors:  A Stockman; D I MacLeod; J A Vivien
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1993-12       Impact factor: 2.129

7.  Long-term renormalization of chromatic mechanisms following cataract surgery.

Authors:  Peter B Delahunt; Michael A Webster; Lei Ma; John S Werner
Journal:  Vis Neurosci       Date:  2004 May-Jun       Impact factor: 3.241

8.  Functional asymmetries in visual pathways carrying S-cone signals in macaque.

Authors:  Chris Tailby; Samuel G Solomon; Peter Lennie
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

9.  Information limits on neural identification of colored surfaces in natural scenes.

Authors:  David H Foster; Sérgio M C Nascimento; Kinjiro Amano
Journal:  Vis Neurosci       Date:  2004 May-Jun       Impact factor: 3.241

10.  Frequency of metamerism in natural scenes.

Authors:  David H Foster; Kinjiro Amano; Sérgio M C Nascimento; Michael J Foster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2006-10       Impact factor: 2.129

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  15 in total

1.  Individual differences in visual science: What can be learned and what is good experimental practice?

Authors:  John D Mollon; Jenny M Bosten; David H Peterzell; Michael A Webster
Journal:  Vision Res       Date:  2017-11-16       Impact factor: 1.886

2.  Color variance and achromatic settings.

Authors:  Siddhart S Rajendran; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2020-04-01       Impact factor: 2.129

3.  Evidence for an impact of melanopsin activation on unique white perception.

Authors:  Dingcai Cao; Adam Chang; Shaoyan Gai
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2018-04-01       Impact factor: 2.129

4.  Color appearance model incorporating contrast adaptation - implications for individual differences in color vision.

Authors:  Kevin A G Smet; Michael A Webster; Lorne A Whitehead
Journal:  Color Res Appl       Date:  2021-01-27       Impact factor: 1.668

5.  Color perception and compensation in color deficiencies assessed with hue scaling.

Authors:  Kara J Emery; Mohana Kuppuswamy Parthasarathy; Daniel S Joyce; Michael A Webster
Journal:  Vision Res       Date:  2021-02-23       Impact factor: 1.984

6.  The dress and individual differences in the perception of surface properties.

Authors:  Christoph Witzel; J Kevin O'Regan; Sabrina Hansmann-Roth
Journal:  Vision Res       Date:  2017-09-01       Impact factor: 1.886

7.  Circuitry to explain how the relative number of L and M cones shapes color experience.

Authors:  Brian P Schmidt; Phanith Touch; Maureen Neitz; Jay Neitz
Journal:  J Vis       Date:  2016-06-01       Impact factor: 2.240

8.  Determinants of Colour Constancy and the Blue Bias.

Authors:  David Weiss; Christoph Witzel; Karl Gegenfurtner
Journal:  Iperception       Date:  2017-12-06

9.  A neural signature of the unique hues.

Authors:  Lewis Forder; Jenny Bosten; Xun He; Anna Franklin
Journal:  Sci Rep       Date:  2017-02-10       Impact factor: 4.379

10.  Discrimination of spectral reflectance under environmental illumination.

Authors:  Takuma Morimoto; Hannah E Smithson
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2018-04-01       Impact factor: 2.129

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