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Equivalent noise characterization of human lightness constancy.

Vijay Singh1,2,3, Johannes Burge2,4,5,6,7, David H Brainard2,4,5,6,8

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Visual perception aims for stable object property representations. This study shows that while background object variations slightly impact lightness perception, the effect is modest, with internal noise being a key factor.

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Area of Science:

  • Visual perception
  • Psychophysics
  • Computational neuroscience

Background:

  • Visual perception seeks stable representations of scene properties despite irrelevant variations.
  • Understanding lightness perception stability is crucial for visual processing.

Purpose of the Study:

  • To investigate how variations in background object reflectance affect the perception of target object lightness.
  • To quantify the impact of task-irrelevant visual information on perceptual stability.

Main Methods:

  • A threshold-based psychophysical paradigm was employed.
  • Two-alternative forced-choice method measured discrimination thresholds for target object reflectance.
  • Background object reflectance variation was manipulated using a statistical model of natural surfaces.

Main Results:

  • Discrimination thresholds remained constant with low background variation, indicating internal noise dominance.
  • Increased background variation progressively dominated performance.
  • Signal detection theory modeled irrelevant variation as equivalent noise, showing a modest intrusion on lightness perception.

Conclusions:

  • Background object reflectance variation moderately affects lightness perception.
  • The impact of irrelevant visual cues is limited, approximately within a factor of two of internal noise levels.