Literature DB >> 16169037

Computational adaptation model and its predictions for color induction of first and second orders.

Hedva Spitzer1, Yuval Barkan.   

Abstract

The appearance of a patch of color or its contrast depends not only on the stimulus itself but also on the surrounding stimuli (induction effects-simultaneous contrast). A comprehensive computational physiological model is presented to describe chromatic adaptation of the first (retinal) and second (cortical) orders, and to predict the different chromatic induction effects. We propose that the chromatic induction of the first order that yields perceived complementary colors can be predicted by retinal adaptation mechanisms, contrary to previous suggestions. The second order of the proposed adaptation mechanism succeeds to predict the automatic perceived inhibition or facilitation of the central contrast of a texture stimulus, depending on the surrounding contrast. Furthermore, contrary to other models, this model is able to also predict the effect of variegated surrounding on the central perceived color.

Mesh:

Year:  2005        PMID: 16169037     DOI: 10.1016/j.visres.2005.08.002

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  5 in total

1.  Spatial receptive field structure of double-opponent cells in macaque V1.

Authors:  Abhishek De; Gregory D Horwitz
Journal:  J Neurophysiol       Date:  2021-01-06       Impact factor: 2.714

2.  Neuronal Mechanism for Compensation of Longitudinal Chromatic Aberration-Derived Algorithm.

Authors:  Yuval Barkan; Hedva Spitzer
Journal:  Front Bioeng Biotechnol       Date:  2018-02-23

3.  A Model for a Filling-in Process Triggered by Edges Predicts "Conflicting" Afterimage Effects.

Authors:  Hadar Cohen-Duwek; Hedva Spitzer
Journal:  Front Neurosci       Date:  2018-08-17       Impact factor: 4.677

4.  Visual aftereffects and sensory nonlinearities from a single statistical framework.

Authors:  Valero Laparra; Jesús Malo
Journal:  Front Hum Neurosci       Date:  2015-10-13       Impact factor: 3.169

5.  A Retina Inspired Model for Enhancing Visibility of Hazy Images.

Authors:  Xian-Shi Zhang; Shao-Bing Gao; Chao-Yi Li; Yong-Jie Li
Journal:  Front Comput Neurosci       Date:  2015-12-22       Impact factor: 2.380

  5 in total

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