Literature DB >> 7236750

Contrast Discrimination by the human visual system.

G J Burton.   

Abstract

In vision of everyday scenes, features requiring detection are frequently observed in the presence of suprathreshold background structures. Detection of such features is a contrast discrimination task and is often necessary for the subsequent process of recognition. In order to provide a description of this task, contrast discrimination measurements were determined for targets having luminance profiles which were localised in both space and spatial frequency. The investigation extends earlier work on this topic by measurement of contrast discrimination levels for different base contrasts, sizes,, luminances and aspect ratios of the targets. For all conditions, it is shown that the functional variation of the contrast discrimination level with base contrast can be described, approximately, by a single curve with one scaling constant. This constant is specified by the contrast threshold level of the target. A model is proposed to describe the contrast discrimination process. The model contains two noise sources, one with noise level proportional to the target contrast and the other with noise level proportional to the contrast thershold level of the target. Predictions from the model adequately describe the experimental data of contrast discrimination against base contrast and, in addition, fit data on the probability of discrimination against the level of contrast difference. An example is given of a simple application of the model to the determination of the number of discriminable steps in contrast as a function of the spatial frequency of a sinusoidal grating target.

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Year:  1981        PMID: 7236750     DOI: 10.1007/bf00326678

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  36 in total

1.  Early processing of visual information.

Authors:  D Marr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1976-10-19       Impact factor: 6.237

2.  Neural theories of simple visual discriminations.

Authors:  H R BLACKWELL
Journal:  J Opt Soc Am       Date:  1963-01

3.  The staircrase-method in psychophysics.

Authors:  T N CORNSWEET
Journal:  Am J Psychol       Date:  1962-09

4.  Color-dependent distribution of spikes in single optic tract fibers of the cat.

Authors:  W M Kozak; H J Reitboeck
Journal:  Vision Res       Date:  1974-06       Impact factor: 1.886

5.  A four mechanism model for threshold spatial vision.

Authors:  H R Wilson; J R Bergen
Journal:  Vision Res       Date:  1979       Impact factor: 1.886

6.  Spatial-frequency masking in vision: critical bands and spread of masking.

Authors:  C F Stromeyer; B Julesz
Journal:  J Opt Soc Am       Date:  1972-10

7.  Processing by the human visual system of the light and dark contrast components of the retinal image.

Authors:  G J Burton; S Nagshineh; K H Ruddock
Journal:  Biol Cybern       Date:  1977-10-14       Impact factor: 2.086

8.  On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images.

Authors:  C Blakemore; F W Campbell
Journal:  J Physiol       Date:  1969-07       Impact factor: 5.182

9.  Further evidence for four mechanisms mediating vision at threshold: sensitivities to complex gratings and aperiodic stimuli.

Authors:  J R Bergen; H R Wilson; J D Cowan
Journal:  J Opt Soc Am       Date:  1979-11

10.  Grating summation in fovea and periphery.

Authors:  N Graham; J G Robson; J Nachmias
Journal:  Vision Res       Date:  1978       Impact factor: 1.886

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  4 in total

1.  Contrast-increment thresholds are related to variability in the apparent contrast function.

Authors:  J A Baro; S Lehmkuhle; R A Applegate
Journal:  Percept Psychophys       Date:  1988-11

2.  The frequency of seeing square wave density modulations in random dot patterns.

Authors:  A M Lelkens; P M Oppeneer
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

3.  What is the primary cause of individual differences in contrast sensitivity?

Authors:  Daniel H Baker
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

4.  What Do Contrast Threshold Equivalent Noise Studies Actually Measure? Noise vs. Nonlinearity in Different Masking Paradigms.

Authors:  Alex S Baldwin; Daniel H Baker; Robert F Hess
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

  4 in total

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