Literature DB >> 15621178

Oriented multiscale spatial filtering and contrast normalization: a parsimonious model of brightness induction in a continuum of stimuli including White, Howe and simultaneous brightness contrast.

Barbara Blakeslee1, Wren Pasieka, Mark E McCourt.   

Abstract

The White effect [Perception 8 (1979) 413] cannot be simply explained as due to either brightness contrast or brightness assimilation because the direction of the induced brightness change does not correlate with the amount of black or white border in contact with the gray test patch. This has led some investigators to abandon spatial filtering explanations not only for the White effect but for brightness perception in general. Offered instead are explanations based on a variety of junction analyses and/or perceptual organization schemes which in the case of the White effect are usually based on T-junctions. Recently, Howe [Perception 30 (2001) 1023] challenged T-junction based explanations with a novel variation of White's effect in which the T-junctions were constant while the brightness effect was eliminated or reversed, and proposed an alternative explanation in terms of illusory contours. The present study argues that an analysis at the level of illusory contours is not necessary and that a much simpler spatial filtering based explanation is sufficient. Brightness induction was measured in a set of stimuli chosen to illustrate the relationship between the Howe stimulus [Perception 30 (2001) 1023], the White stimulus [Perception 8 (1979) 413] and the classical simultaneous brightness contrast (SBC) stimulus. The White stimulus and the SBC stimulus occupy opposite ends of a continuum of stimuli in which the Howe stimulus is the mid-point. The psychophysical measurements were compared with the predictions of the oriented difference-of-Gaussians (ODOG) computational model of Blakeslee and McCourt [Vision Research 39 (1999) 4361]. The ODOG model parsimoniously accounted for both the direction and relative magnitude of the brightness effects suggesting that more complex mechanisms are not required to explain them.

Mesh:

Year:  2005        PMID: 15621178     DOI: 10.1016/j.visres.2004.09.027

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


  12 in total

1.  Nearly instantaneous brightness induction.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  J Vis       Date:  2008-02-29       Impact factor: 2.240

2.  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

3.  Spatiotemporal analysis of brightness induction.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Vision Res       Date:  2011-07-07       Impact factor: 1.886

4.  When is spatial filtering enough? Investigation of brightness and lightness perception in stimuli containing a visible illumination component.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Vision Res       Date:  2012-03-21       Impact factor: 1.886

5.  The Oriented Difference of Gaussians (ODOG) model of brightness perception: Overview and executable Mathematica notebooks.

Authors:  Barbara Blakeslee; Davis Cope; Mark E McCourt
Journal:  Behav Res Methods       Date:  2016-03

6.  Spatial filtering versus anchoring accounts of brightness/lightness perception in staircase and simultaneous brightness/lightness contrast stimuli.

Authors:  Barbara Blakeslee; Daniel Reetz; Mark E McCourt
Journal:  J Vis       Date:  2009-03-26       Impact factor: 2.240

7.  An exponential filter model predicts lightness illusions.

Authors:  Astrid Zeman; Kevin R Brooks; Sennay Ghebreab
Journal:  Front Hum Neurosci       Date:  2015-06-24       Impact factor: 3.169

8.  Mach bands explained by response normalization.

Authors:  Frederick A A Kingdom
Journal:  Front Hum Neurosci       Date:  2014-11-04       Impact factor: 3.169

9.  Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception.

Authors:  Aaron M Clarke; Michael H Herzog; Gregory Francis
Journal:  Front Psychol       Date:  2014-10-21

10.  Scale-invariance in brightness illusions implicates object-level visual processing.

Authors:  Erica Dixon; Arthur Shapiro; Zhong-Lin Lu
Journal:  Sci Rep       Date:  2014-01-29       Impact factor: 4.379

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