Literature DB >> 16643096

Are cone sensitivities determined by natural color statistics?

Alex Lewis1, Li Zhaoping.   

Abstract

We investigate how the amount of information about colors in natural scenes available to the visual system depends on the spectral sensitivities of the three types of cones. We find that if we do not consider spatial information and low signal-to-noise situations, human cone spectral sensitivity curves do not provide the maximum possible information. This applies not only to information about all colors in natural scenes, but equally to information about colors of edible fruit. However, a significant increase in color information could only be obtained if the L-cone was sensitive to even longer wavelengths, at the expense of a reduction in spatial acuity and in the information available in dim lighting conditions.

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Mesh:

Year:  2006        PMID: 16643096     DOI: 10.1167/6.3.8

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


  13 in total

1.  Design of a trichromatic cone array.

Authors:  Patrick Garrigan; Charles P Ratliff; Jennifer M Klein; Peter Sterling; David H Brainard; Vijay Balasubramanian
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

2.  The effects of longitudinal chromatic aberration and a shift in the peak of the middle-wavelength sensitive cone fundamental on cone contrast.

Authors:  F J Rucker; D Osorio
Journal:  Vision Res       Date:  2008-09       Impact factor: 1.886

3.  Optimal design of photoreceptor mosaics: why we do not see color at night.

Authors:  Jeremy R Manning; David H Brainard
Journal:  Vis Neurosci       Date:  2009-02-05       Impact factor: 3.241

Review 4.  Understanding the retinal basis of vision across species.

Authors:  Tom Baden; Thomas Euler; Philipp Berens
Journal:  Nat Rev Neurosci       Date:  2019-11-28       Impact factor: 34.870

5.  Natural images from the birthplace of the human eye.

Authors:  Gašper Tkačik; Patrick Garrigan; Charles Ratliff; Grega Milčinski; Jennifer M Klein; Lucia H Seyfarth; Peter Sterling; David H Brainard; Vijay Balasubramanian
Journal:  PLoS One       Date:  2011-06-16       Impact factor: 3.240

6.  A low-cost hyperspectral scanner for natural imaging and the study of animal colour vision above and under water.

Authors:  N E Nevala; T Baden
Journal:  Sci Rep       Date:  2019-07-25       Impact factor: 4.379

7.  The association between L:M cone ratio, cone opsin genes and myopia susceptibility.

Authors:  Lene A Hagen; Solveig Arnegard; James A Kuchenbecker; Stuart J Gilson; Maureen Neitz; Jay Neitz; Rigmor C Baraas
Journal:  Vision Res       Date:  2019-07-11       Impact factor: 1.886

8.  The brightness of colour.

Authors:  David Corney; John-Dylan Haynes; Geraint Rees; R Beau Lotto
Journal:  PLoS One       Date:  2009-03-31       Impact factor: 3.240

9.  Wavelength Discrimination in Drosophila Suggests a Role of Rhodopsin 1 in Color Vision.

Authors:  Christian Garbers; Thomas Wachtler
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

10.  The Importance of Spatial Visual Scene Parameters in Predicting Optimal Cone Sensitivities in Routinely Trichromatic Frugivorous Old-World Primates.

Authors:  Tristan Matthews; Daniel Osorio; Andrea Cavallaro; Lars Chittka
Journal:  Front Comput Neurosci       Date:  2018-03-27       Impact factor: 2.380

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