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Optics Express

Optics Express

  • Editor: J. H. Eberly
  • Vol. 6, Iss. 1 — Jan. 3, 2000
  • pp: 12–33

Visual detection of spatial contrast patterns: Evaluation of five simple models.

Andrew B. Watson  »View Author Affiliations

Optics Express, Vol. 6, Issue 1, pp. 12-33 (2000)

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The ModelFest Phase One dataset is a collection of luminance contrast thresholds for 43 two-dimensional monochromatic spatial patterns confined to an area of approximately two by two degrees. These data were collected by a collaboration among twelve laboratories, and were designed to provide a common database for calibration and testing of spatial vision models. Here I report fits of the ModelFest data with five models: Peak Contrast, Contrast Energy, Generalized Energy, a Gabor Channels model, and a Discrete Cosine Transform model. The Gabor Channels model provides the best fit, though the other, simpler models, with the exception of Peak Contrast, provide remarkably good fits as well. Though there are clear individual differences, regularities in the data suggest the possibility of constructing a standard observer for spatial vision.

© Optical Society of America

OCIS Codes
(330.1800) Vision, color, and visual optics : Vision - contrast sensitivity
(330.4060) Vision, color, and visual optics : Vision modeling

ToC Category:
Research Papers

Original Manuscript: October 18, 1999
Published: January 3, 2000

Andrew Watson, "Visual detection of spatial contrast patterns: Evaluation of five simple models," Opt. Express 6, 12-33 (2000)

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