Literature DB >> 7740766

What's constant in contrast constancy? The effects of scaling on the perceived contrast of bandpass patterns.

N Brady1, D J Field.   

Abstract

"Contrast constancy" refers to the ability to perceive objects as maintaining a constant contrast independent of size or distance. When tested with high contrast sinusoidal gratings, contrast constancy has been shown to hold for a wide range of spatial frequencies, suggesting that sensitivity is constant across the spectrum at suprathreshold. In this study, we show that contrast constancy also holds for relatively broadband patterns. We describe how the frequency spectra of such functions change as the patterns scale in size. In particular, we emphasize how these changes in the spectra depend on whether the functions are localized (coherent phase) or spatially distributed (incoherent phase). In Fourier terms, the scaling properties depend on the phase spectra of the patterns. Contrast constancy is shown to hold for both localized Gabor patches (coherent phase spectra) and bandpass noise patterns (incoherent phase spectra). Constancy holds over a wide range of suprathreshold contrasts; in fact, matching is quite accurate as soon as the pattern is suprathreshold. These results are explained with a model in which mechanism bandwidths increase with frequency (constant in octaves) and peak spectral sensitivity is equal across frequency out to around 16 c/deg. In the case of the Gabor stimuli, perceived contrast is assumed to be mediated by a mechanism centered on the patch. For the bandpass noise, contrast is determined by the average response of units distributed across the stimulus. This model can account for the matching data without assuming that the contrast-response gain of the underlying channels changes with spatial frequency. Neither does the model assume "response pooling". In addition to explaining the experimental results, the model also predicts that perceived contrast will be approximately constant across scale for scenes whose spectra fall as 1/f, as is typical of natural scenes.

Entities:  

Mesh:

Year:  1995        PMID: 7740766     DOI: 10.1016/0042-6989(94)00172-i

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


  14 in total

1.  Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields?

Authors:  Daniel J Graham; Damon M Chandler; David J Field
Journal:  Vision Res       Date:  2006-06-16       Impact factor: 1.886

2.  Contrast gain-control in stereo depth and cyclopean contrast perception.

Authors:  Fang Hou; Chang-Bing Huang; Ju Liang; Yifeng Zhou; Zhong-Lin Lu
Journal:  J Vis       Date:  2013-01-01       Impact factor: 2.240

3.  Perceived contrast in complex images.

Authors:  Andrew M Haun; Eli Peli
Journal:  J Vis       Date:  2013-11-04       Impact factor: 2.240

4.  Suprathreshold Contrast Perception Is Altered by Long-term Adaptation to Habitual Optical Blur.

Authors:  Cherlyn J Ng; Ramkumar Sabesan; Antoine Barbot; Martin S Banks; Geunyoung Yoon
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-10-03       Impact factor: 4.925

5.  Discriminating natural image statistics from neuronal population codes.

Authors:  Satohiro Tajima; Masato Okada
Journal:  PLoS One       Date:  2010-03-25       Impact factor: 3.240

6.  Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure.

Authors:  Peter J Bex; Samuel G Solomon; Steven C Dakin
Journal:  J Vis       Date:  2009-09-04       Impact factor: 2.240

7.  Temporal whitening: transient noise perceptually equalizes the 1/f temporal amplitude spectrum.

Authors:  John Cass; David Alais; Branka Spehar; Peter J Bex
Journal:  J Vis       Date:  2009-09-16       Impact factor: 2.240

8.  Color perception and compensation in color deficiencies assessed with hue scaling.

Authors:  Kara J Emery; Mohana Kuppuswamy Parthasarathy; Daniel S Joyce; Michael A Webster
Journal:  Vision Res       Date:  2021-02-23       Impact factor: 1.984

9.  Combining 1-D components to extract pattern information: It is about more than component similarity.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Vis       Date:  2017-03-01       Impact factor: 2.240

10.  Stereoscopic depth constancy.

Authors:  Phillip Guan; Martin S Banks
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-06-19       Impact factor: 6.237

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.