Literature DB >> 3153673

Border effects on brightness: a review of findings, models and issues.

F Kingdom1, B Moulden.   

Abstract

This paper presents a summary of experimental findings, theoretical models and unresolved issues regarding border effects on brightness, of which the Cornsweet illusion (Cornsweet, 1970 Visual Perception. Academic Press: New York) is the best-known example. It is argued that no current theoretical model completely accounts for the wide variety of effects described. Contrast sensitivity function (CSF) models can explain many low-contrast, but not high-contrast, border effects. Lightness integration models based on Land and McCann's retinex theory (Land and McCann, 1971. J. Opt. Soc. Am. 61, pp. 1-11) have the advantage over CSF models in that they predict transitivity of border effects where they are found to occur. However, they fail to predict the appearance of a variety of Cornsweet-like figures, have never been tested with relatively high contrast versions of those figures, and have only been implemented by qualitative demonstration. It is argued that edge-detector models are potentially the most promising theoretical candidates but, as with lightness-integration models, they have invariably relied on qualitative demonstrations and have only dealt with low-contrast border effects. A computational edge-detector model which predicts the appearance of both high and low contrast Cornsweet figures is proposed and its advantages over other models, as well as its current limitations, are discussed. The final section discusses the neural locus for border effects in brightness.

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Mesh:

Year:  1988        PMID: 3153673     DOI: 10.1163/156856888x00140

Source DB:  PubMed          Journal:  Spat Vis        ISSN: 0169-1015


  9 in total

1.  An empirical explanation of the cornsweet effect.

Authors:  D Purves; A Shimpi; R B Lotto
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

2.  Cortical processing of a brightness illusion.

Authors:  Anna Wang Roe; Haidong D Lu; Chou P Hung
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-28       Impact factor: 11.205

3.  Dissecting the influence of the collinear and flanking bars in White's effect.

Authors:  Barbara Blakeslee; Ganesh Padmanabhan; Mark E McCourt
Journal:  Vision Res       Date:  2016-07-21       Impact factor: 1.886

4.  Interactions of flicker and motion.

Authors:  Gennady Erlikhman; Sion Gutentag; Christopher D Blair; Gideon P Caplovitz
Journal:  Vision Res       Date:  2019-01-09       Impact factor: 1.886

5.  Brightness induction magnitude declines with increasing distance from the inducing field edge.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Vision Res       Date:  2012-12-21       Impact factor: 1.886

Review 6.  A new taxonomy for perceptual filling-in.

Authors:  Rimona S Weil; Geraint Rees
Journal:  Brain Res Rev       Date:  2010-11-05

7.  Luminance gradient configuration determines perceived lightness in a simple geometric illusion.

Authors:  Maria Pereverzeva; Scott O Murray
Journal:  Front Hum Neurosci       Date:  2014-12-05       Impact factor: 3.169

8.  A multiple-response frequency-tagging paradigm measures graded changes in consciousness during perceptual filling-in.

Authors:  Matthew J Davidson; Irene L Graafsma; Naotsugu Tsuchiya; Jeroen van Boxtel
Journal:  Neurosci Conscious       Date:  2020-04-12

9.  The SSVEP tracks attention, not consciousness, during perceptual filling-in.

Authors:  Jeroen Ja van Boxtel; Naotsugu Tsuchiya; Matthew J Davidson; Will Mithen; Hinze Hogendoorn
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140

  9 in total

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