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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 16, Iss. 3 — Mar. 1, 1999
  • pp: 694–704

Visual signal detection with two-component noise: low-pass spectrum effects

Arthur E. Burgess  »View Author Affiliations


JOSA A, Vol. 16, Issue 3, pp. 694-704 (1999)
http://dx.doi.org/10.1364/JOSAA.16.000694


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Abstract

Detection of signals in natural images and scenes is limited by both noise and structure. The purpose of this study is to investigate phenomenological issues of signal detection in two-component noise. One component had a broadband (white) spectrum designed to simulate image noise. The other component was filtered to simulate two classes of low-pass background structure spectra: Gaussian-filtered noise and power-law noise. Measurements of human and model observer performance are reported for several aperiodic signals and both classes of background spectra. Human results are compared with two classes of observer models and are fitted very well by suboptimal prewhitening matched filter models. The nonprewhitening model with an eye filter does not agree with human results when background-noise-component power spectrum bandwidths are less than signal energy bandwidths.

© 1999 Optical Society of America

OCIS Codes
(330.1880) Vision, color, and visual optics : Detection
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5510) Vision, color, and visual optics : Psychophysics

History
Original Manuscript: May 26, 1998
Revised Manuscript: October 22, 1998
Manuscript Accepted: November 5, 1998
Published: March 1, 1999

Citation
Arthur E. Burgess, "Visual signal detection with two-component noise: low-pass spectrum effects," J. Opt. Soc. Am. A 16, 694-704 (1999)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-16-3-694

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