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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
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A perceptual space of local image statistics
Jonathan D Victor1, Daniel J Thengone1, Syed M Rizvi1
1Brain and Mind Research Institute, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, United States.
Vision Research
|July 2, 2015
Summary
Visual perception of local image statistics, like contrast and orientation, is consistent across individuals. These statistics interact predictably, forming a stereotyped perceptual space that aids in understanding complex visual processing.
Area of Science:
- Computational neuroscience
- Visual perception
- Image processing
Background:
- Local image statistics are crucial for analyzing textures, surfaces, and form.
- Understanding how the visual system processes multiple interacting statistics is limited due to high dimensionality.
Purpose of the Study:
- To investigate visual processing of multiple local image statistics.
- To determine psychophysical thresholds and interaction rules for various statistics in binary images.
Main Methods:
- Utilized a 10-parameter space of binary images on a square lattice.
- Measured psychophysical thresholds for individual statistics and their pairwise combinations.
- Analyzed isodiscrimination contours to infer interaction rules.
Main Results:
- Sensitivities and isodiscrimination contours were consistent across observers.
- Elliptical isodiscrimination contours indicated a quadratic interaction rule.
- Predictions for complex statistic combinations were experimentally verified, including metameric stimuli.
Conclusions:
- Local image statistics form a highly stereotyped perceptual space.
- Different statistics interact according to simple, predictable rules.
- Image analysis and visual processing models can benefit from these findings.
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