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Lightness from contrast: a selective integration model.

W D Ross1, L Pessoa

  • 1Machine Intelligence Group, MIT Lincoln Laboratory, Lexington, USA. bross@ll.mit.edu

Perception & Psychophysics
|October 6, 2000
PubMed
Summary
This summary is machine-generated.

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This study introduces a new model for simulating perceived lightness, moving beyond simple luminance ratios. The selective integration model (SIM) accurately predicts complex visual phenomena like White's illusion.

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • Perceived lightness traditionally linked to luminance ratios of adjacent regions.
  • Retinal mechanisms like adaptation and lateral inhibition process luminance contrast.
  • Simple models fail to explain complex lightness illusions, such as White's illusion.

Purpose of the Study:

  • To present a novel computational model for simulating perceived lightness.
  • To extend existing edge integration and contrast/filling-in models.
  • To account for a wider range of visual phenomena beyond simple contrast ratios.

Main Methods:

  • Developed a selective integration model (SIM).
  • Built upon established edge integration and contrast/filling-in frameworks.

Related Experiment Videos

  • Tested the model's ability to simulate various visual illusions and effects.

    • Main Results:

    • The SIM successfully simulates White's illusion, where perceived lightness contradicts local contrast ratios.
    • The model accounts for phenomena like the Benary Cross, shading, transparency, and Gelb induced contrast.
    • An independently derived variant of a depthful White's illusion was also simulated.

    Conclusions:

    • The selective integration model (SIM) offers a more comprehensive explanation for perceived lightness across diverse visual scenes.
    • The model's success in simulating complex illusions suggests a refined understanding of visual processing.
    • The SIM framework can inspire the creation of novel visual stimuli and further research.