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Modelling visual detection: luminance response non-linearity and internal noise.

F Kingdom, B Moulden

    The Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology
    |November 1, 1989
    PubMed
    Summary
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    Human visual perception of thin line signals in noise is better explained by models incorporating gain control or energy integration, not an ideal detector. These models account for display factors and internal noise in visual detection.

    Area of Science:

    • Visual perception
    • Computational neuroscience
    • Signal detection theory

    Background:

    • Understanding visual detection of signals in noise is crucial for fields like image processing and human-computer interaction.
    • Previous models often simplified the complex mechanisms of the human visual system.

    Purpose of the Study:

    • To investigate how display factors influence the detectability of thin line signals in random visual noise.
    • To evaluate the efficacy of different statistical decision models in explaining human visual performance.

    Main Methods:

    • Conducted two experiments manipulating display factors affecting signal detectability.
    • Developed and tested three statistical decision models: ideal detector, energy integrator, and retinal ganglion cell-based model with gain control.

    Related Experiment Videos

  • Analyzed model performance against experimental data on human detection of thin line signals in noise.

    • Main Results:

    • The ideal detector model did not accurately predict human performance.
    • Both the energy integrator and the retinal ganglion cell-based models provided a good fit to the experimental data.
    • The digital Laplacian with gain control model showed a slight advantage in explaining the detection of dark versus bright signals.
    • Accurate modeling required incorporating an estimate of the human visual system's internal noise.

    Conclusions:

    • Human visual signal detection in noise is better explained by models that incorporate gain control or energy integration mechanisms.
    • The ideal detector model is insufficient for describing human visual performance in this context.
    • Internal noise within the human visual system plays a significant role in performance under varying display contrast conditions.