Literature DB >> 19203426

Variations in normal color vision. V. Simulations of adaptation to natural color environments.

Igor Juricevic1, Michael A Webster.   

Abstract

Modern accounts of color appearance differ in whether they assume that the perceptual primaries (e.g., white and the unique hues of red, green, blue, and yellow) correspond to unique states determined by the spectral sensitivities of the observer or by the spectral statistics of the environment. We examined the interaction between observers and their environments by asking how color perception should vary if appearance depends on fixed responses in a set of color channels, when the sensitivities of these channels are adapted in plausible ways to different environments. Adaptation was modeled as gain changes in the cones and in multiple postreceptoral channels tuned to different directions in color-luminance space. Gains were adjusted so that the average channel responses were equated across two environments or for the same environment during different seasons, based on sets of natural outdoor scenes (Webster et al., 2007). Because of adaptation, even observers with a shared underlying physiology should perceive color in significantly and systematically different ways when they are exposed to and thus adapted by different contexts. These include differences in achromatic settings (owing to variations in the average chromaticity of locations) and differences in perceived hue (because of differences in scene contrasts). Modeling these changes provides a way of simulating how colors might be experienced by individuals in different color environments and provides a measure of how much color appearance might be modulated for a given observer by variations in the environment.

Entities:  

Mesh:

Year:  2009        PMID: 19203426      PMCID: PMC2684467          DOI: 10.1017/S0952523808080942

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  39 in total

1.  Ecological importance of trichromatic vision to primates.

Authors:  N J Dominy; P W Lucas
Journal:  Nature       Date:  2001-03-15       Impact factor: 49.962

2.  Salience of chromatic basic color terms confirmed by three measures.

Authors:  R M Boynton; C X Olson
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

3.  The effect of spatial adaptation on perceived contrast.

Authors:  M A Georgeson
Journal:  Spat Vis       Date:  1985

4.  Whiteness perception: individual differences and common trends.

Authors:  E Ganz
Journal:  Appl Opt       Date:  1979-09-01       Impact factor: 1.980

Review 5.  Fruits, foliage and the evolution of primate colour vision.

Authors:  B C Regan; C Julliot; B Simmen; F Viénot; P Charles-Dominique; J D Mollon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-03-29       Impact factor: 6.237

6.  A multi-stage color model.

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

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.  Detection mechanisms in L-, M-, and S-cone contrast space.

Authors:  G R Cole; T Hine; W McIlhagga
Journal:  J Opt Soc Am A       Date:  1993-01       Impact factor: 2.129

9.  Adaptation and perceptual norms in color vision.

Authors:  Michael A Webster; Deanne Leonard
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-11       Impact factor: 2.129

Review 10.  Visual pigments and the acquisition of visual information.

Authors:  J N Lythgoe; J C Partridge
Journal:  J Exp Biol       Date:  1989-09       Impact factor: 3.312

View more
  9 in total

1.  Visualizing Visual Adaptation.

Authors:  Michael A Webster; Katherine E M Tregillus
Journal:  J Vis Exp       Date:  2017-04-24       Impact factor: 1.355

2.  The Verriest Lecture: Adventures in blue and yellow.

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

Review 3.  Adaptation and visual coding.

Authors:  Michael A Webster
Journal:  J Vis       Date:  2011-05-20       Impact factor: 2.240

4.  Simulations of adaptation and color appearance in observers with varying spectral sensitivity.

Authors:  Michael A Webster; Igor Juricevic; Kyle C McDermott
Journal:  Ophthalmic Physiol Opt       Date:  2010-09       Impact factor: 3.117

5.  Individual and age-related variation in chromatic contrast adaptation.

Authors:  Sarah L Elliott; John S Werner; Michael A Webster
Journal:  J Vis       Date:  2012-08-17       Impact factor: 2.240

6.  Colour appearance and compensation in the near periphery.

Authors:  Michael A Webster; Kimberley Halen; Andrew J Meyers; Patricia Winkler; John S Werner
Journal:  Proc Biol Sci       Date:  2010-02-10       Impact factor: 5.349

7.  Uniform color spaces and natural image statistics.

Authors:  Kyle C McDermott; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

Review 8.  Probing the functions of contextual modulation by adapting images rather than observers.

Authors:  Michael A Webster
Journal:  Vision Res       Date:  2014-10-02       Impact factor: 1.886

9.  Dynamics of color contrast adaptation.

Authors:  Katherine Tregillus; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-04-01       Impact factor: 2.129

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.