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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 16, Iss. 6 — Jun. 1, 1999
  • pp: 1501–1505

Effective color CRT calibration techniques for perception research

Elizabeth S. Olds, William B. Cowan, and Pierre Jolicoeur  »View Author Affiliations

JOSA A, Vol. 16, Issue 6, pp. 1501-1505 (1999)

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We present a method of CRT calibration useful for the efficient examination of a wide range of hypotheses about human color perception. We take advantage of the local linearity of gamma correction in cases in which the stimulus colors for an experiment lie in a limited region of color space (or in a limited number of small regions). This situation is quite common in threshold experiments. In many cases complete monitor calibration is unnecessary and inefficient. Often when only a few colors are needed in an experiment they will be calibrated individually. However, explicit calibration of every necessary stimulus color limits the range of experiments that can be performed. Our method allows for an efficient intermediate option.

© 1999 Optical Society of America

OCIS Codes
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry
(330.5510) Vision, color, and visual optics : Psychophysics

Original Manuscript: October 30, 1998
Revised Manuscript: February 22, 1999
Manuscript Accepted: January 4, 1999
Published: June 1, 1999

Elizabeth S. Olds, William B. Cowan, and Pierre Jolicoeur, "Effective color CRT calibration techniques for perception research," J. Opt. Soc. Am. A 16, 1501-1505 (1999)

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  1. D. H. Brainard, “Calibration of a computer controlled color monitor,” Color Res. Appl. 14, 23–34 (1989). [CrossRef]
  2. E. S. Olds, W. B. Cowan, P. Jolicoeur, “Stimulus-determined discrimination mechanisms for color search,” Percept. Psychophys. (to be published).
  3. E. S. Olds, W. B. Cowan, P. Jolicoeur, “Tracking visual search over space and time,” submitted to Psychon. Bull. Rev.
  4. W. Cowan, “Displays for vision research,” in Handbook of Optics, 2nd ed., M. Bass, E. W. Van Stryland, D. R. Williams, W. L. Wolfe, eds. (McGraw-Hill, New York, 1995), pp. 27.1–27.44.
  5. W. B. Cowan, N. L. Rowell, “On the gun independence and phosphor constancy of color video monitors,” Color Res. Appl. 11, S34–S38 (1986).
  6. G. Wyszecki, W. S. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd ed. (Wiley, New York, 1982).
  7. See the two issues of Spatial Vision edited by H. Strasburger [Vols. 10(4) and 11(1)] for treatments of these and other concerns.
  8. D. H. Brainard, “The psychophysics toolbox,” Spatial Vision 10, 433–436 (1997). [CrossRef] [PubMed]
  9. Outliers are removed, on the basis of scatterplots of predicted versus actual data points; generally fewer than 1% of data points are outliers. Three separate regressions are performed for Y, x, and y individually.
  10. In our technique we use the linear fit rather than the quadratic fit because of the simplicity of its inverse.
  11. See http://www.cgl.uwaterloo.ca/Software for sample code for performing these calculations.

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