Hostname: page-component-7bb8b95d7b-dtkg6 Total loading time: 0 Render date: 2024-09-20T23:58:58.119Z Has data issue: false hasContentIssue false
  • English
  • Français

Masking of grating detection in the isoluminant plane of DKL color space

Published online by Cambridge University Press:  05 April 2005

DELWIN T. LINDSEY  and
ANGELA M. BROWN
DELWIN T. LINDSEY
Affiliation:
Department of Psychology, Ohio State University, Mansfield
ANGELA M. BROWN
Affiliation:
College of Optometry, Ohio State University, Columbus
Get access Rights & Permissions [Opens in a new window]

Abstract

A novel noise-masking technique was used to test D'Zmura and Knoblauch's (1998) idea that subjects employ off-channel looking in detecting chromatic test stimuli embedded in spatiotemporal chromatic noise. Detection thresholds were obtained for stationary, isoluminant, Gaussian-windowed (σx = σy = 2.25 deg; σt = 0.25 s), 135 deg (yellow/blue) or 160 deg (orange/blue–green), sinusoidal test gratings (11 deg × 11 deg; 0.75 cycle/deg) superimposed on each of a series of dynamic, random-check chromatic noise masks varying in azimuth in DKL space. Thresholds for detecting the test in the presence of these variable masks were again measured in the presence of an additional (auxiliary) noise mask created from colors falling on azimuths of 0 deg or 90 deg (135-deg test) or 0 deg or 135 deg (160-deg test). The effectiveness, kvar, of the variable noise masks in elevating grating detection thresholds was determined by fitting the detection data to the Pelli-Legge equation relating test detection energy to variable noise-mask energy: Et = K + kvarNvar. Differences in the calculated values of kvar for detection data obtained with and without the auxiliary masks were consistent with off-channel looking and were well accounted for by a simple model based on the idea that subjects possess a multichannel array of linear chromatic detectors spanning the isoluminant plane of DKL space, and they can choose the channel that has the highest signal-to-noise ratio.

Keywords

Chromatic mechanismsNoiseDetectionMaskingEfficiency
Type
Research Article
Information
Visual Neuroscience , Volume 21 , Issue 3 , May 2004 , pp. 269 - 273
Copyright
© 2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Derrington, A.M., Krauskopf, J., & Lennie, P. (1984). Chromatic mechanisms in lateral geniculate nucleus of macaque. Journal of Physiology (London) 357, 241–265.Google Scholar
D'Zmura, M. (1991). Color in visual search. Vision Research 31, 951–966.Google Scholar
D'Zmura, M. & Knoblauch, K. (1998). Spectral bandwidths for detection of color. Vision Research 38, 3117–3128.Google Scholar
Gegenfurtner, K.R. & Kiper, D.C. (1992). Contrast detection in luminance and chromatic noise. Journal of the Optical Society of America A 9, 1880–1888.Google Scholar
Giulianini, F. & Eskew, R.T., Jr. (1998). Chromatic masking in the (Delta L/L-, Delta M/M) plane of cone–contrast space reveals only two detection mechanisms. Vision Research 38, 3913–3926.Google Scholar
Goda, N. & Fujii, M. (2001). Sensitivity to modulation of color distribution in multicolored textures. Vision Research 19, 2475–2486.Google Scholar
Knoblauch, K. & D'Zmura, M. (2001). Reply to Sankerelli & Mullen (2001). Vision Research 41, 1683–1684.Google Scholar
Krauskopf, J., Williams, D.R., & Heeley, D.W. (1982). Cardinal directions of color space. Vision Research 22, 1123–1131.Google Scholar
Krauskopf, J., Williams, D.R., Mandler, M., & Brown, A. (1986). Higher-order color mechanisms. Vision Research 26, 23–32.Google Scholar
Legge, G.E., Kersten, D., & Burgess, A.E. (1987). Contrast discrimination in noise. Journal of the Optical Society of America A 4, 391–404.Google Scholar
Li, A. & Lennie, P. (1997). Mechanisms underlying segmentation of colored textures. Vision Research 37, 83–97.Google Scholar
Lindsey, D.T. & Teller, D.Y. (1990). Motion at isoluminance: Discrimination/detection ratios for moving isoluminant gratings. Vision Research 30, 1751–1761.Google Scholar
Patterson, R.D. & Nimmo-Smith, I. (1980). Off-frequency listening and auditory-filter asymmetry. Journal of the Acoustical Society of America 67, 229–245.Google Scholar
Pelli, D. (1981). The effects of visual noise. Ph.D. Dissertation, Cambridge University.
Sankeralli, M.J. & Mullen, K.T. (1997). Postreceptoral chromatic detection mechanisms revealed by noise masking in three-dimensional cone contrast space. Journal of the Optical Society of America A 14, 2633–2646.Google Scholar
Sankeralli, M.J. & Mullen, K.T. (2001). Assumptions concerning orthogonality in threshold-scaled versus cone-contrast colour spaces. Vision Research 41, 53–55.Google Scholar
Stiles, W.S. (1978). Mechanisms of Color Vision. London, UK: Academic Press.
Watson, A.B. & Pelli, D.G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception and Psychophysics 33, 113–120.Google Scholar
Webster, M.A. & Mollon, J.D. (1994). The influence of contrast adaptation on color appearance. Vision Research 34, 1993–2020.Google Scholar
Zaidi, Q. & Halevy, D. (1993). Visual mechanisms that signal the direction of color changes. Vision Research 33, 1037–1051.Google Scholar