Literature DB >> 19146233

Brightness contrast-contrast induction model predicts assimilation and inverted assimilation effects.

Yuval Barkan1, Hedva Spitzer, Shmuel Einav.   

Abstract

In classical assimilation effects, intermediate luminance patches appear lighter when their immediate surround is comprised of white patches and appear darker when their immediate surround is comprised of dark patches. With patches either darker or lighter than both inducing patches, the direction of the brightness effect is reversed and termed as "inverted assimilation effect." Several explanations and models have been suggested, some are relevant to specific stimulus geometry, anchoring theory, and models that involve high level cortical processing (such as scission, etc.). None of these studies predicted the various types of assimilation effects and their inverted effects. We suggest here a compound brightness model, which is based on contrast-contrast induction (second-order adaptation mechanism). The suggested model predicts the various types of brightness assimilation effects and their inverted effects. The model is composed of three main stages: (1) composing post-retinal second-order opponent receptive fields, (2) calculations of local and remote contrast, and (3) adaptation of the second-order (contrast-contrast induction). We also utilize a variation of the Jacobi iteration process to enable elegant edge integration in order to evaluate the model is performance.

Mesh:

Year:  2008        PMID: 19146233     DOI: 10.1167/8.7.27

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


  3 in total

1.  Dynamic brightness induction causes flicker adaptation, but only along the edges: evidence against the neural filling-in of brightness.

Authors:  Alan E Robinson; Virginia R de Sa
Journal:  J Vis       Date:  2013-05-31       Impact factor: 2.240

2.  A Neurocomputational account of the role of contour facilitation in brightness perception.

Authors:  Dražen Domijan
Journal:  Front Hum Neurosci       Date:  2015-02-19       Impact factor: 3.169

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

  3 in total

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